Résumé Le but de cet article est d’interroger les trois notions de texte, discours et cognition, et les modèles théoriques, complémentaires ou opposés, qui les illustrent et les défendent. Pour cela, les notions ne seront pas analysées à la suite, une par une, mais en parallèle, deux par deux. Reprenant les orientations de mes travaux actuels en linguistique textuelle et en linguistique cognitive, je les confronterai en deux temps : texte vs. discours et texte vs. (...) class='Hi'>cognition. Cette double confrontation, avec le texte pour dénominateur commun, laisse ainsi entendre, d’une part, que si je prends en compte le discours comme le cadre contextuel, situationnel, générique, où apparaît le texte, je m’attache au texte comme objet d’analyse, suivant en cela une tradition « pragoise », à la fois structurale ou macro-syntaxique et fonctionnelle ; cela laisse entendre, d’autre part, que cette conception du texte permet de concilier les théories néo-pragoises à celles que développent les linguistiques cognitives d’aujourd’hui, centrées sur diverses compétences, activités ou opérations, mentales, sémantiques, pragmatiques et sémiotiques, souvent regroupées sous le terme englobant ou résultant de représentation : espaces mentaux, projections, mélange (blending), émergence de sens. Pour finir je montre que la procédure de double intégration, conceptuelle et prédicative, permet d’illustrer la complémentarité des deux modèles, mental-cognitif et macrosyntaxique-textuel. (shrink)

Style, critique génétique et modèles rédactionnels : perspectives linguistiques Nous proposons ici de croiser la spécificité du texte en cours de production – qui constitue l’objet de la critique génétique – avec l’analyse des faits de langue que mène d’ordinaire le linguiste sur des corpus figés, c’est-à-dire clos, de textes achevés et de genres parfois très différents. Cette approche est menée tout à la fois à partir de la définition du style comme processus de singularisation qu’en propose A. Herschberg (...) Pierrot et des modèles rédactionnels tels qu’ils ont été élaborés par les psycho-cognitivistes. Nous proposons d’apporter quelques éléments de réponse à la question que l’on pourrait formuler comme suit : quels types de corpus, et quelles méthodes d’analyses les sciences du langage peuvent-elle aujourd’hui proposer pour constituer le meilleur terrain de rencontre et de décloisonnement entre la critique génétique littéraire et stylistique et les perspectives ouvertes par les modèles rédactionnels? (shrink)

This paper argues for a comprehensive conception of empathy as comprising epistemic, affective, and motivational elements and introduces the ancient Stoic theory of attachment (Greek,oikeiōsis) as a model for describing the embodied, emotional response to others that we take to be distinctive of empathy. Our argument entails that in order to provide a suitable conceptual framework for the interdisciplinary study of empathy one must extend the scope of recent “simulationalist” and “enactivist” accounts of empathy in two important respects. First, against (...) the enactivist assumption that human mindreading capacities primarily rely on an immediate, quasi-perceptual understanding of other’s intentional states, we draw on Alfred Schutz’ analysis of social understanding to argue that reflective types of understanding play a distinct, but equally fundamental role in empathic engagements. Second, we insist that empathy also involves an affective response toward the other and their situation (as the empathizer perceives this). We suggest analyzing this response in terms of the Stoic concepts of attachment, concern, and a fundamental type of prosocial motivation, that can best be described as an “extended partiality.” By way of conclusion, we integrate the above concepts into a comprehensive conceptual framework for the study of empathy and briefly relate them to current debates about empathic perception and prosocial motivation. The result, we argue, is an account that stays neutral with regard to the exact nature of the processes involved in producing empathy and can therefore accommodate discussion across theoretical divides—e.g., those between enactivist, simulationalist, and so-called theory-theorist approaches. (shrink)

Research on cognitive processes has primarily focused on cognitive control and inhibitory processes to the detriment of other psychological processes, such as defense mechanisms, which can be used to modify aggressive impulses as well as self/other images during interpersonal conflicts. First, we conducted an in-depth theoretical analysis of three socio-cognitive models and three psychodynamic models and compared main propositions regarding the source of aggression and processes that influence its enactment. Second, 32 participants completed the Hostile Expectancy Violation Paradigm in which (...) scenarios describe a hostile vs. non-hostile social context followed by a character's ambiguous aversive behavior. The N400 effect to critical words that violate expected hostile vs. non-hostile intent of the behavior was analyzed. Prepotent response inhibition was measured using a Stop Signal task and DMs were assessed with the Defense Style Questionnaire. Results showed that reactive aggression and HIA were not significantly correlated with response inhibition but were significantly positively and negatively correlated with image distorting defense style and adaptive defense style, respectively. The present article has highlighted the importance of integrating socio-cognitive and psychodynamic models to account for the full complexity underlying psychological processes that influence reactive aggressive behavior. (shrink)

There are presently two leading foreign policy decision-making paradigms in vogue. The first is based on the classical or rational model originally posited by von Neumann and Morgenstern to explain microeconomic decisions. The second is based on the cybernetic perspective whose groundwork was laid by Herbert Simon in his early research on bounded rationality. In this paper we introduce a third perspective -- the poliheuristic theory of decision-making -- as an alternative to the rational actor and cybernetic paradigms in international (...) relations. This theory is drawn in large part from research on heuristics done in experimental cognitive psychology. According to the poliheuristic theory, policy makers use poly (many) heuristics while focusing on a very narrow range of options and dimensions when making decisions. Among them, the political dimension is noncompensatory. The paper also delineates the mathematical formulations of the three decision-making models. (shrink)

A considerable body of recent work in developmental psychology and animal behavior has addressed the cognitive processes required to recognize oneself in a mirror. Most models of such "mirrored self-recognition" (MSR) treat it as the result of inferential processes drawing on the subject’s possession of some sort of mature "self-awareness". The present chapter argues that such an approach to MSR is not obligatory, and suggests some empirical grounds for rejecting it. We also sketch the outlines of an alternative, "embodied" theory (...) of MSR, and propose a way to evaluate it using the tools of adaptive robotics. (shrink)

There are presently two leading foreign policy decision-making paradigms in vogue. The first is based on the classical or rational model originally posited by von Neumann and Morgenstern to explain microeconomic decisions. The second is based on the cybernetic perspective whose groundwork was laid by Herbert Simon in his early research on bounded rationality. In this paper we introduce a third perspective — thepoliheuristic theory of decision-making — as an alternative to the rational actor and cybernetic paradigms in international relations. (...) This theory is drawn in large part from research on heuristics done in experimental cognitive psychology. According to the poliheuristic theory, policy makers use poly (many) heuristics while focusing on a very narrow range of options and dimensions when making decisions. Among them, the political dimension is noncompensatory. The paper also delineates the mathematical formulations of the three decision-making models. (shrink)

In the present paper, I will investigate how consciousness studies and theories of social cognition relate to each other, and suggest that despite the results of scientific research, both social cognition and consciousness can be better understood within a wider framework, i.e., not exclusively in terms of intra-cranial processes. I will attempt to illuminate the advantages of embracing embodied cognition in contrast with focusing exclusively on neural and/or representational mechanisms when consciousness and cognition are in question. (...) In my argumentation, I will first show the divergence of consciousness- and cognitive-theories on the one hand, and delineate attempts to reconcile these two branches of investigation, on the other hand. Then I will relate the model of cognitive phylogeny, as regards social cognition, and the models of the evolution of consciousness as it emerged in scientific literature. In conclusion, I will attempt to expose the advantages of widening the horizon of investigation towards embodied and enacted cognition. (shrink)

The debate about the appropriate methodology of medical education has been (and still is) dominated by the opposing poles of teaching science versus teaching practical skills. I will argue that this conflict between scientific education and practical training has its roots in the underlying, more systematic question about the conceptual foundation of medicine: how far or in what respects can medicine be considered to be a science? By analyzing the epistemological status of medicine I will show that the internal aim (...) of medicine( promoting health through the prevention and treatment of disease ) differs from the internal aim of science ( the methodological and systematic acquisition of knowledge ). Therefore, medicine as a whole discipline should not be considered as a science. However, medicine can be conceptually and methodologically scientific in so much as it is based on scientific knowledge. There is evidence from cognitive science research that diagnostic reasoning not only relies on the application of scientific knowledge but also — especially in routine cases – on a process of pattern recognition, a reasoning strategy based on the memory of previously encountered patients. Hence, medical education must contain both: the imparting of scientific knowledge and the rich exposure to concrete cases during practical training. Hence, the question of teaching science vs. the apprentice model will not be either-or but rather both — but in which proportion? (shrink)

The traditional model of human cognition (TMHC) postulates an ontological and/or structural gap between conscious and unconscious mental representations. By and large, it sees higher-level mental processes as commonly conceptual or symbolic in nature and therefore conscious, whereas unconscious, lower-level representations are conceived as non-conceptual or sub-symbolic. However, experimental evidence belies this model, suggesting that higher-level mental processes can be, and often are, carried out in a wholly unconscious way and/or without conceptual representations, and that these can be processed (...) unconsciously. This entails that the TMHC, as well as the theories on mental representation it motivates and that in turn support it, is wrong. (shrink)

Does the human mind resemble the machines that can behave like it? Biologically inspired machine-learning systems approach “human-level” accuracy in an astounding variety of domains, and even predict human brain activity—raising the exciting possibility that such systems represent the world like we do. However, even seemingly intelligent machines fail in strange and “unhumanlike” ways, threatening their status as models of our minds. How can we know when human–machine behavioral differences reflect deep disparities in their underlying capacities, vs. when such failures (...) are only superficial or peripheral? This article draws on a foundational insight from cognitive science—the distinction between performance and competence—to encourage “species-fair” comparisons between humans and machines. The performance/competence distinction urges us to consider whether the failure of a system to behave as ideally hypothesized, or the failure of one creature to behave like another, arises not because the system lacks the relevant knowledge or internal capacities (“competence”), but instead because of superficial constraints on demonstrating that knowledge (“performance”). I argue that this distinction has been neglected by research comparing human and machine behavior, and that it should be essential to any such comparison. Focusing on the domain of image classification, I identify three factors contributing to the species-fairness of human–machine comparisons, extracted from recent work that equates such constraints. Species-fair comparisons level the playing field between natural and artificial intelligence, so that we can separate more superficial differences from those that may be deep and enduring. (shrink)

Are morphological patterns learned in the form of rules? Some models deny this, attributing all morphology to analogical mechanisms. The dual mechanism model (Pinker, S., & Prince, A. (1998). On language and connectionism: analysis of a parallel distributed processing model of language acquisition. Cognition, 28, 73-193) posits that speakers do internalize rules, but that these rules are few and cover only regular processes; the remaining patterns are attributed to analogy. This article advocates a third approach, which uses multiple stochastic (...) rules and no analogy. We propose a model that employs inductive learning to discover multiple rules, and assigns them confidence scores based on their performance in the lexicon. Our model is supported over the two alternatives by new "wug test" data on English past tenses, which show that participant ratings of novel pasts depend on the phonological shape of the stem, both for irregulars and, surprisingly, also for regulars. The latter observation cannot be explained under the dual mechanism approach, which derives all regulars with a single rule. To evaluate the alternative hypothesis that all morphology is analogical, we implemented a purely analogical model, which evaluates novel pasts based solely on their similarity to existing verbs. Tested against experimental data, this analogical model also failed in key respects: it could not locate patterns that require abstract structural characterizations, and it favored implausible responses based on single, highly similar exemplars. We conclude that speakers extend morphological patterns based on abstract structural properties, of a kind appropriately described with rules. (shrink)

This paper explores the challenges posed by the rapid advancement of artificial intelligence specifically Large Language Models (LLMs). I show that traditional linguistic theories and corpus studies are being outpaced by LLMs’ computational sophistication and low perplexity levels. In order to address these challenges, I suggest a focus on language as a cognitive tool shaped by embodied-environmental imperatives in the context of Agentive Cognitive Construction Grammar. To that end, I introduce an Embodied Human Language Model (EHLM), inspired by Active Inference (...) research, as a promising alternative that integrates sensory input, embodied representations, and adaptive strategies for contextualized analysis and conceptual utility maximization. By incorporating Active Inference, which sees perception as inferring the world's state from sensory data, the findings reveal that the characterization of the English modal be able to, as a triadic construction encoding biological intelligent agency, introduces a more plausible theoretical basis for the positing of linguistic constructions. This emphasizes the crucial role of embodied human language models in the comprehension of how humans construct preferred futures through language. (shrink)

The attempts to mitigate the unprecedented health, economic, and social disruptions caused by the COVID-19 pandemic are largely dependent on establishing compliance to behavioral guidelines and rules that reduce the risk of infection. Here, by conducting an online survey that tested participants’ knowledge about the disease and measured demographic, attitudinal, and cognitive variables, we identify predictors of self-reported social distancing and hygiene behavior. To investigate the cognitive processes underlying health-prevention behavior in the pandemic, we co-opted the dual-process model of thinking (...) to measure participants’ propensities for automatic and intuitive thinking vs. controlled and reflective thinking. Self-reports of 17 precautionary behaviors, including regular hand washing, social distancing, and wearing a face mask, served as a dependent measure. The results of hierarchical regressions showed that age, risk-taking propensity, and concern about the pandemic predicted adoption of precautionary behavior. Variance in cognitive processes also predicted precautionary behavior: participants with higher scores for controlled thinking (measured with the Cognitive Reflection Test) reported less adherence to specific guidelines, as did respondents with a poor understanding of the infection and transmission mechanism of the COVID-19 virus. The predictive power of this model was comparable to an approach (Theory of Planned Behavior) based on attitudes to health behavior. Given these results, we propose the inclusion of measures of cognitive reflection and mental model variables in predictive models of compliance, and future studies of precautionary behavior to establish how cognitive variables are linked with people’s information processing and social norms. (shrink)

This article introduces an agent-based and a system-dynamics model investigating the cultural transmission of frequent collective rituals. It focuses on social function and cognitive attraction as independently affecting transmission. The models focus on the historical context of early Christian meals, where various theoretically inspiring trends in cultural transmission of rituals can be observed. The primary purpose of the article is to contribute to theorizing about cultural transmission of rituals by suggesting a clear operationalization of their social function and cognitive attraction. (...) Furthermore, the article challenges recent trends in the field by providing a theoretically feasible model for how, under certain conditions, cognitive attraction can influence the transmission to a relatively greater extent than social function. In the system dynamics model we reproduce the results of our agent-based model while putting some of our basic operational assumptions under scrutiny. We consider approaching social function and cognitive attraction in isolation as a preliminary but necessary step in the process of creating more complex models of the cultural selection of rituals, where the two aspects will be combined to produce ritual forms with greater correspondence to real-world religious rituals. (shrink)

Cognition is context-sensitive, as the same sensory information is processed differently depending on its context (e.g., on its probabilistic association with goal-directed actions and their outcomes). Despite this, the concept of context in studies of higher-order cognitive processes, like cognitive control, is often simplified to nominal stimulus categories (like a target vs. distractor). Here we propose that quantifying contextual information to model cognitive demands is (1) fruitful as it can provide novel insight into the nature of cognitive control, (2) (...) accessible as simple probability models offer a tool for quantifying context and (3) analytically useful as a fine-grained quantification of context can be entered into more complex models as regressors that allow a direct way of appropriately exploring many of the defining tenants of cognitive control (e.g., rapidly changing trial-by-trial neural dynamics). Here, we briefly describe the logic of using context-sensitive measures of cognitive control and highlight recent studies from this approach using simple information theory metrics. (shrink)

Cet article souhaite montrer que les modèles spatiaux, physiques ou expérientiels, proposés généralement pour rendre compte du fonctionnement des particules verbales en anglais, posent de nombreux problèmes. En particulier, il s’avère impossible de réduire le signifié de UP (vs DOWN) à l’expression d’un « mouvement vertical vers le haut » et les valeurs non spatiales sont très nombreuses. L’alternative décrite ici, dans le cadre général de la Théorie de la Relation Interlocutive (Douay & Roulland 2014), consiste à rechercher dans (...) le fonctionnement même du système linguistique les causes et les motifs à la fois de la structuration spatiale et non spatiale. Cette recherche s’appuie sur une définition systémique du langage fondée sur l’auto-référence et l’auto-organisation, plutôt que sur des stimuli environnementaux qui seraient plus ou moins « évidents ». (shrink)

The ideas of face consciousness, group conformity, extended family concept, and crisis consciousness in Confucian culture have a subtle and far-reaching impact on housing consumption decision among the Chinese public, forming a housing consumption model of “preferring to own a house rather than rent one.” The poor interaction between the housing rental market and the sales market caused by the shortage of rental demand and irrational purchasing behaviors has led to soaring house prices and imbalance between supply and demand that (...) prevail in major cities in China. To gain a deeper understanding of public cognitive attitude toward decisions on owning and renting a house, this study divided the subjects into high and low impact groups based on the overall Confucian culture and four subdimensions. It attempts to take a cognitive neuroscience approach for assessing public stereotypes of housing consumption decision with different types based on the analysis of event-related potentials. The results are as follows. First, overall, there is an obvious implicit stereotype of renting a house and explicit stereotype of owning a house among the public. Second, ERPs data show that descriptions of renting a house with positive adjectives could evoke more significant N400 responses. In other words, in the heuristic system, the public perceive that renting a house is restrictive, stressful, unhappy, and crisis. Data from subjective reports show that, after processing information in the analytic system, the public tend to think that owning a house is self-contained, restful, warm, and comfortable. Third, a more negative stereotype of renting a house exists in the high Confucian culture influence group Group than in the low Confucian culture influence group Group, and is more inclined to own a home. Fourth, under the Confucian culture sub-dimension, there are differences in housing consumption stereotypes between high and low groups in terms of extended family concept, group conformity, and crisis consciousness. Fifth, the moderating effect analysis found that perceived usefulness, trust in the rental market, and policy perception can be important factors in guiding public housing consumption stereotypes. (shrink)

Relativism may take a coherent and self-consistent form, by replacing a bivalent logic with a many-valued logic; “incongruent” propositions may then be valid, that is, propositions that on a bivalent model but not now would be or would yield contradictories. I reject “relationalism,” any relativism in accord with which “true” means “true-for-x” (in accord with the usual reading of Plato’s Theaetetus). I show how epistemic pluralism is an analogue of the “is”/“appears” distinction and presupposes a form of objectivism, however attenuated. (...) By “objectivism” I understand the thesis that what obtains independently in the world is cognitively accessible, is contextless and free of interpretation. The admitted indemonstrability of objectivism affects the force of pluralism and cannot disallow relativism. If objectivity is an artifact of inquiry, then relativism and pluralism can be reconciled. (shrink)

Since the emergence of psychology, its relation with religion has been inconsistent. Their different sources and methodologies but common aims made them close or distanced. Today these disciplines acknowledged and learned to benefit from each other. The affect of religion/spirituality on human’s lives raised the attention of psychology and required the integration of these into psychotherapy. In order to approach the psychology-religion relation via the traces of religion within psychotherapy the paper deals with the necessity, the knowledge needed, the principles (...) when integrating religious/spiritual principles and practices into psychotherapy; finally the religious traces in psychotherapy. The paper comprises few Turkish examples together with the huge body of theoretical and practical examples on the topic. These theories and practices should be important examples for Turkey. By addressing the religious traces in psychotherapy the aim of the paper is to show that the cliff between psychology and religion is in fact not that deep.SummaryIt can be argued that psychology and religion have common interests relating the well-being of individuals. There is a huge body of research that emphasizes the implementation and necessity of cultural, religious, spiritual principles in professional psychology. The proprium of these models is to integrate the client’s religious/spiritual sources into therapy. Especially religious clients benefit from therapies that define their treatment goals around their religious views. However, it must be considered that if the disorder has a biological dimension and/or is severe psychopathologic pure religious interventions will not be sufficient. This paper traces the religious/spiritual principles within psychotherapies and shows that the cliff between religion and psychology is not that deep.At different places in the world therapy is done according to western standards. However, determining mental health or disorders according to western criteria might be problematic. In societies in which religious/spiritual life is an essential part of culture, religion plays a crucial role in people’s perception of disease and treatment. In mental health, spirituality is an important and primary source for coping. Empirical studies reveal the positive outcomes of religious practices such as personal prayer, repentance, meditation, and dhikir on mental and physical health. In light of this data it becomes clear that psychotherapies should be revised socio-culturally and culturally sensitive psychotherapies that cover belief and religious practices should be developed. Another need for the integration of religion, belief, and spirituality with psychotherapy is the significant effect of these experiences on individual’s lives. With regard to the broad impact of religion, psychological interventions solely might not be sufficient to fulfill human psychological needs. As studies show, religious clients expect religious practices in treatment as well as a therapist who is open and respectful to religious principles, ready to talk about own religious beliefs, willing to integrate religious matters into therapy. To fulfill these expectations therapists, need to be trained and educated in religious/spiritual matters. Additionally, the therapist must acknowledge and be conscious about her/his own worldview, religious commitment, and spiritual life. However, the therapist needs not to be religious him/herself or share the same religion as the client. It is sufficient that the therapist is open and receptive to the client’s beliefs so that these can be used as effective sources in therapy. Spiritual psychotherapy considers spirituality as one of the main sources of clients. Thus, it might be critical when the therapist has poor knowledge about religion when the client considers it as significant. This source might be helpful for the client in coping with his/her problems and limitations. Having knowledge about the client’s religion and culture might also be important to acknowledge his/her perceptions and beliefs. Because individuals’ understanding of disease, their beliefs about reasons for mental disorders, their expectations from the health system are important factors in seeking help and choosing therapy.Therapists who decide to integrate spiritual/religious principles into psychotherapy have to adhere to some ethical principles. The source and the degree of the psychological disorder are important, too. Even though the efficacy of religious rituals and spiritual interventions are extensive in each case it has to be investigated whether religiosity/spirituality is part of the problem or the solution. Certain aspects will guide the therapist in deciding whether to integrate religiosity/spirituality into the therapy process or not. Additionally, he/she has to gather information about the client’s religious/spiritual life (spiritual anamneses) in order to choose the most appropriate religious method and intervention. Today psychotherapy deals with coping, questions about the meaning, purpose, and way of life. Actually, these are issues with which religious traditions has dealt and proposed solutions for thousands of years ago. For example, ethical principles for mental health professionals correspond to those of religious teachings. The attitudes and the type of relationship recommended by the client-centered approach are also commended by religious teachings for all human relations. Beginning with the 1960’s an increasing interest in Buddhist teachings is observable among psychotherapists. Mental exercises (especially meditation) cause transformations in the self-perception and lead to enduring changes in consciousness. Religions such as Islam, Judaism, and Buddhism recommend meditation technics like contemplation, dhikr, and yoga. Confession in the Catholic Church has similarities with psychotherapeutic catharsis. Many cultures own one kind of forgiveness rituals of confessions. As studies report people benefit from these rituals. Forgiveness is a multifaceted issue with psychological and spiritual dimensions and involves cognitive, emotional, relational, and spiritual processes. Research indicates the religious and psychological functions of forgiveness. Many subjects such as personal prayer, hope, empathy, love, and tolerance are common issues of both, psychotherapy and religion/spirituality. Different psychotherapeutic approaches and especially positive psychology integrate these values that are valued by religion/spirituality into their theories and practices.In conclusion, the cliff between psychology and religion/spirituality is not that deep at it seems at first sight. They have many subjects in common. Individuals turn to religion and spirituality in times of crises. This makes it inevitable to include religion and spirituality into the therapeutic process. Because religions provide ways of coping, hope, and meaning in difficult times. This fact is recognized and accepted abroad and lead to the religious/spiritual psychotherapy movement, which will hopefully an inspiration for Turkish psychology as well. (shrink)

The standard methodology of comparative psychology has long relied upon a distinction between cognition and ‘mere association’; cognitive explanations of nonhuman animals behaviors are only regarded as legitimate if associative explanations for these behaviors have been painstakingly ruled out. Over the last ten years, however, a crisis has broken out over the distinction, with researchers increasingly unsure how to apply it in practice. In particular, a recent generation of psychological models appear to satisfy existing criteria for both cognition (...) and association. Salvaging the standard methodology of comparative psychology will thus require significant conceptual redeployment. In this article, I trace the historical development of the distinction in comparative psychology, distinguishing two styles of approach. The first style tries to make out the distinction in terms of the properties of psychological models, for example by focusing on criteria like the presence of rules & propositions vs. links & nodes. The second style of approach attempts to operationalize the distinction by use of specific experimental tests for cognition performed on actual animals. I argue that neither style of criteria is self-sufficient, and both must cooperate in an iterative empirical investigation into the nature of animal minds if the distinction is to be reformed. (shrink)

Cette étude qualitative propose une modélisation multimodale des constructions subordonnées en conversation spontanée, à partir de leur action sur les cadres interprétatifs. Les subordonnées ont longtemps été décrites en linguistique comme des éléments dépendants qui complètent des éléments primaires. Cependant, la Grammaire Cognitive a remis en question ce point de vue en montrant que l'emboîtement syntaxique ne reflète souvent que le point de départ choisi par les locuteurs pour véhiculer leur message. Les subordonnées sont des pratiques interactionnelles qui offrent (...) une reconstruction interprétative du discours. Les différents types syntaxiques de subordonnées font référence à différents cadres interprétatifs dans l'expérience du locuteur. La sélection de ces différents cadres est exprimée par le nombre différent d'indices de frontière prosodiques et gestuels produits en co-occurrence avec chaque type syntaxique de subordonnée. (shrink)

Recent work in cognitive modelling has found that most of the data that has been cited as evidence for the dual-process theory (DPT) of reasoning is best explained by non-linear, “monotonic” one-process models (Stephens et al., 2018, 2019). In this paper, I consider an important caveat of this research: it uses models that are committed to unrealistic assumptions about how effectively task conditions can isolate Type-1 and Type-2 reasoning. To avoid this caveat, I develop a coordinated theoretical, experimental, and modelling (...) strategy to better test DPT. First, I propose that Type-1 and Type-2 reasoning are defined as reasoning that precedes and follows metacognitive control, respectively. Second, I argue that reasoning that precedes and follows metacognitive control can be effectively isolated using debiasing paradigms that manipulate metacognitive heuristics (e.g., processing fluency) to prevent or trigger metacognitive control, respectively. Third, I argue that monotonic modelling can allow us to decisively test DPT only when we use them to analyse data from this particular kind of debiasing paradigm. (shrink)

Farmers are key actors in the transition towards sustainable agricultural practices. Therefore, it is important to understand farmers’ motivations to encourage lasting change. This study investigated how farmers from the two different social contexts of the northeast US and Denmark perceive sustainability. Twenty farmers constructed Fuzzy Cognitive Maps to model their practices and perceived outcomes. The maps were analyzed using social capital as an analytical framework. The results showed that sustainability perceptions differed between US and Danish farmers. Specifically, Danish farmers (...) focused mainly on environmental sustainability while US farmers distributed their focus more evenly across environmental, social, and economic factors. Further, US and Danish farmers had different notions of community engagement. US farmers emphasized the importance of interdependence with their non-farmer community members, where farmers contributed to the wellbeing and livelihoods of non-farmers and vice versa. For Danish farmers, the importance of community engagement lay mainly in localizing food systems, the public image of farming, and the cultural value of farms. Differences in the dominant types of social capital (farmer-to-government vs. farmer-to-non-farmer-community) can explain this pattern. We argue that understanding social capital and primary level of influence can lead to more effective and efficient policies. (shrink)

Jonathan Walkan challenges cognitive science's dominant model of mental representation and proposes a novel, well-devised alternative. The traditional view in the cognitive sciences uses a linguistic model of mental representation. That logic-based model of cognition informs and constrains both the classical tradition of artificial intelligence and modeling in the connectionist tradition. It falls short, however, when confronted by the frame problem---the lack of a principled way to determine which features of a representation must be updated when new information becomes (...) available. So far, proposed alternatives, including the imagistic model, have not resolved the problem. Waskan proposes the Intrinsic Cognitive Models hypothesis, according to which representational states can be concpetualized as the cognitive equivalent of scale models.Waskan argues further that the proposal that humans harbor and manipulate cognitive counterparts to scale models offers the only viable explanation for what most clearly differentiates humans from other creatures: the capacity to engage in truth-preserving manipulation of representations. The ICM hypothesis, he claims, can be distinguished from sentence-based accounts of truth preservation in a way that is fully compatible with what is known about the brain. (shrink)

Abstract:I address an overlooked question about the structure of the cognitive/conative model of the mind that underlies much of the work in economics, psychology and philosophy: namely, whether conative states are fundamentally monistic (desire-like) or comparative (preference-like). I argue that two seemingly promising sets of theoretical considerations – namely, the structure of Rational Choice Theory, and considerations of computational efficiency – are unable to resolve this debate. Given this, I suggest that a consideration that speaks in favour of the preference-based (...) view is the fact that it makes it easier to explain certain empirically observed patterns in decision making. (shrink)

This study compares cognitive and emotional responses to 360-degree vs. static (2D) videos in terms of visual attention, brand recognition, engagement of the prefrontal cortex, and emotions. Hypotheses are proposed based on the interactivity literature, cognitive overload, advertising response model and motivation, opportunity, and ability theoretical frameworks, and tested using neurophysiological tools: electroencephalography, eye-tracking, electrodermal activity, and facial coding. The results revealed that gaze view depends on ad content, visual attention paid being lower in 360-degree FMCG ads than in 2D (...) ads. Brand logo recognition is lower in 360-degree ads than in 2D video ads. Overall, 360-degree ads for durable products increase positive emotions, which carries the risk of non-exposure to some of the ad content. In testing four ads for durable goods and fast-moving consumer goods (FMCG) this research explains the mechanism through which 360-degree video ads outperform standard versions. (shrink)

This is a paperback reissue of a 1988 special issue of Cognition - dated but still of interest. The book consists of three chapters, each making one major negative point about connectionism. Fodor & Pylyshyn (F&P) argue that connectionist networks (henceforth 'nets') are not good models for cognition because they lack 'systematicity', Pinker & Price (P&P) argue that nets are not good substitutes for rule-based models of linguistic ability, and Lachter & Bever (L&B) argue that nets can only (...) model the associative relations between cognitive structures, not the structures themselves. (shrink)

Cognitive neuroscience increasingly relies on complex data analysis methods. Researchers in this field come from highly diverse scientific backgrounds, such as psychology, engineering, and medicine. This poses challenges with respect to acquisition of appropriate scientific computing and data analysis skills, as well as communication among researchers with different knowledge and skills sets. Are researchers in cognitive neuroscience adequately equipped to address these challenges? Here, we present evidence from an online survey of methods skills. Respondents (n= 307) mainly comprised students and (...) post-doctoral researchers working in the cognitive neurosciences. Multiple choice questions addressed a variety of basic and fundamental aspects of neuroimaging data analysis, such as signal analysis, linear algebra, and statistics. We analyzed performance with respect to the following factors: undergraduate degree (grouped into Psychology, Methods, and Biology), current researcher status (undergraduate student, PhD student, and post-doctoral researcher), gender, and self-rated expertise levels. Overall accuracy was 72%. Not surprisingly, the Methods group performed best (87%), followed by Biology (73%) and Psychology (66%). Accuracy increased from undergraduate (59%) to PhD (74%) level, but not from PhD to post-doctoral (74%) level. The difference in performance for the Methods vs. non-methods (Psychology/Biology) groups was especially striking for questions related to signal analysis and linear algebra, two areas particularly relevant to neuroimaging research. Self-rated methods expertise was not strongly predictive of performance. The majority of respondents (93%) indicated they would like to receive at least some additional training on the topics covered in this survey. In conclusion, methods skills among junior researchers in cognitive neuroscience can be improved, researchers are aware of this, and there is strong demand for more skills-oriented training opportunities. We hope that this survey will provide an empirical basis for the development of bespoke skills-oriented training programs in cognitive neuroscience institutions. We will provide practical suggestions on how to achieve this. (shrink)

Kafka's writings are frequently interpreted as representing the historical period of modernism in which he was writing. Little attention has been paid, however, to the possibility that his writings may reflect neural mechanisms in the processing of self during hypnagogic (i.e., between waking and sleep) states. Kafka suffered from dream-like, hypnagogic hallucinations during a sleep-deprived state while writing. This paper discusses reasons (phenomenological and neurobiological) why the self projects an imaginary double (autoscopy) in its spontaneous hallucinations and how Kafka's writings (...) help to elucidate the underlying cognitive and neural mechanisms. I further discuss how the proposed mechanisms may be relevant to understanding paranoid delusions in schizophrenia. Literature documents and records cognitive and neural processes of self with an intimacy that may be otherwise unavailable to neuroscience. To elucidate this approach, I contrast it with the apparently popularizing view that the symptoms of schizophrenia result from what has been called an operative (i.e., pre-reflective) hyper-reflexivity. The latter approach claims that pre-reflective self-awareness (diminished in schizophrenia) pervades all conscious experience (however, in a manner that remains unverifiable for both phenomenological and experimental methods). This contribution argues the opposite: the. (shrink)

Many cognitive and evolutionary theories of religion argue that supernatural explanations are byproducts of our cognitive adaptations. An influential argument states that our supernatural explanations result from a tendency to generate anthropomorphic explanations, and that this tendency is a byproduct of an error management strategy because agents tend to be associated with especially high fitness costs. We propose instead that anthropomorphic and other supernatural explanations result as features of a broader toolkit of well-designed cognitive adaptations, which are designed for explaining (...) the abstract and causal structure of complex, unobservable, and uncertain phenomena that have substantial impacts on fitness. Specifically, we argue that (1) mental representations about the abstract vs. the supernatural are largely overlapping, if not identical, and (2) when the data-generating processes for scarce and ambiguous observations are complex and opaque, a naive observer can improve a bias-variance trade-off by starting with a simple, underspecified explanation that Western observers readily interpret as “supernatural.” We then argue that (3) in many cases, knowledge specialists across cultures offer pragmatic services that involve apparently supernatural explanations, and their clients are frequently willing to pay them in a market for useful and effective services. We propose that at least some ethnographic descriptions of religion might actually reflect ordinary and adaptive responses to novel problems such as illnesses and natural disasters, where knowledge specialists possess and apply the best available explanations about phenomena that would otherwise be completely mysterious and unpredictable. (shrink)

La présente étude propose de faire le point, à travers une sélection d’occurrences extraites d’un document commun, sur la manière dont la classe des pronoms est décrite dans une perspective cognitive. Il s’agit notamment de comprendre comment le traitement des pronoms s’insère dans une modélisation plus large du langage, et à l’inverse, comment celle-ci influence les perspectives sur la classe. Plus spécifiquement, hormis certaines modélisations de l’accès à la référence, c’est la Grammaire Cognitive de Langacker qui est considérée ici. Après (...) une définition du terme même de perspective « cognitive », l’étude met en avant les caractéristiques partagées des pronoms dans ce modèle. Elle propose ensuite un panorama des différentes sous-classes de pronoms. Elle fait apparaître notamment la centralité du pronom personnel et du démonstratif ; le rejet du principe de réagencement au profit de constructions ; le rejet du principe de pronoms « vides de sens » ; enfin, une extension de la notion d’impersonnel à we ou they. Le concept de « clivée en there », emprunté à Davidse et Reeve plutôt qu’à la Grammaire Cognitive, est également proposé. (shrink)

ABSTRACT Research examining ethical decision-making has focused on how people engage in EDM, leading many researchers to focus on sensemaking models of EDM. Although the merits of a sensemaking approach with respect to EDM are evident in the literature, less is known about the specific cognitive processes by which sensemaking impacts EDM. This study examines the impact of three late-cycle cognitive processes – idea generation, evaluation, and revision – as well as the timing of these processes on EDM. Results indicate (...) that information gathering early on is critical to EDM; a finding which supports an active sensemaking model over an intuitive one. (shrink)

Theories of decision-making and its neural substrates have long assumed the existence of two distinct and competing valuation systems, variously described as goal-directed vs. habitual, or, more recently and based on statistical arguments, as model-free vs. model-based reinforcement-learning. Though both have been shown to control choices, the cognitive abilities associated with these systems are under ongoing investigation. Here we examine the link to cognitive abilities, and find that individual differences in processing speed covary with a shift from model-free to model-based (...) choice control in the presence of above-average working memory function. This suggests shared cognitive and neural processes; provides a bridge between literatures on intelligence and valuation; and may guide the development of process models of different valuation components. Furthermore, it provides a rationale for individual differences in the tendency to deploy valuation systems, which may be important for understanding the manifold neuropsychiatric diseases associated with malfunctions of valuation. (shrink)

Self-compassion (SC) seems to play an important role in improving Emotion Regulation (ER). Nevertheless, the results of previous studies regarding the links between SC and ER are not consistent, especially facing diverse models of ER (strategy-based vs skill-based). The goal of this prospective study was to evaluate the links between these three concepts, by testing the predictive roles of SC and ER skills on both ER adaptive and maladaptive strategies, using standardised questionnaires and visual analogue scales. Results of regression analysis (...) showed that self-compassion positively predicts cognitive reappraisal, acceptance, problem-solving, relaxation, self-support, tolerance and ER skills and negatively predicts behavioural avoidance, expressive suppression and ruminations. Results also showed that ER skills positively predict cognitive reappraisal, expression, acceptance, relaxation, self-support and tolerance and negatively predicts behavioural avoidance, expressive suppression and ruminations. Results from a mediation model are also promising regarding both the role of ER skills on the effect of SC on adaptive ER strategy use. Even if this study can be associated with common limits of self-report measures, it highlights the role of SC in a model of ER. (shrink)

Cognitive Grammar postulates two modes of cognitive processing for the structuring of complex scenes, summary scanning and sequential scanning. Generally speaking, the theory is committed to basing grammatical concepts upon more general cognitive principles. In the case of summary and sequential scanning, independent evidence is lacking, but Langacker argues that the distinction should nonetheless be accepted as it buys us considerable theory-internal explanatory power. For example, dynamic prepositions, to-infinitives and participles (e.g., into, to enter, entered ) are distinguished from finite (...) and bare verbs in terms of summary vs. sequential scanning. In this paper, we try to show that various theory-internal and theory-external arguments do not seem to support the two scanning modes. In particular, we offer a detailed examination of causatives (e.g., get, make ) and argue that their complementation patterns are difficult to reconcile with differences in scanning. We conclude that the status of, and need for, summary and sequential scanning in (Cognitive) grammar is doubtful, especially if grammar is approached from the viewpoint of the language learner/user. It follows also that the parcelling of some form-function mappings may prove less clear-cut than previously assumed. (shrink)

Emotional intelligence (EI) stands at the nexus between intelligence and emotion disciplines, and we outline how EI research might be better integrated within both theoretical frameworks. From the former discipline, empirical research focused upon whether EI is an intelligence and what type of intelligence it constitutes. It is clear that ability-based tests of EI form a group factor of cognitive abilities that may be integrated into the Cattell–Horn–Carroll framework; less clear is the lower order factor structure of EI. From the (...) latter discipline, research linking EI with theoretical frameworks from emotion research remain relatively sparse. Emotion regulation and appraisal theory may be key to explain how EI may reflect different processes. We propose a research agenda to advance the EI study. (shrink)

We live in an ageing society, where people are living longer, and where decreases in the birth rate mean that the proportion of the population above retirement age is steadily increasing. An ageing population has considerable implications for health services and care provision. Consequently there is a growing interest among researchers, medical practitioners, and policy makers in older adults, their capabilities, and the changes in their cognitive functioning. This book offers an up-to-the-minute account of the latest methodological and theoretical issues (...) in cognitive ageing. Part of the Debates in Psychology series, it sets out the arguments surrounding the currently controversial questions in cognitive ageing. What is the appropriate methodology for understanding cognitive change? How many factors are necessary to understand the patterns of age-related change? What might these factors be? The topics and arguments are explored in a series of chapters by the leading researchers in the field. Each contributor offers their view of how cognitive ageing can be best understood, and together they cover a broad range of cognitive functions including language use, cognitive slowing, and memory loss. Each of the chapters stands alone as the latest review of work in the area. Taken together, the chapters form a coherent theoretical debate through which the reader will learn about the dynamic nature of cognitive ageing research, and about the direction this research will be taking in the future. Models of Cognitive Aging will be an invaluable resource for anyone with an interest in the elderly, and in their cognitive abilities. (shrink)

This paper presents a view of nature as a network of infocomputational agents organized in a dynamical hierarchy of levels. It provides a framework for unification of currently disparate understandings of natural, formal, technical, behavioral and social phenomena based on information as a structure, differences in one system that cause the differences in another system, and computation as its dynamics, i.e. physical process of morphological change in the informational structure. We address some of the frequent misunderstandings regarding the natural/morphological computational (...) models and their relationships to physical systems, especially cognitive systems such as living beings. Natural morphological infocomputation as a conceptual framework necessitates generalization of models of computation beyond the traditional Turing machine model presenting symbol manipulation, and requires agent-based concurrent resource-sensitive models of computation in order to be able to cover the whole range of phenomena from physics to cognition. The central role of agency, particularly material vs. cognitive agency is highlighted. (shrink)

A central claim in Luiz Pessoa’s (2013) book is that the terms “emotion” and “cognition” can be useful in characterizing behaviors but will not be cleanly mapped into brain regions. In order to be verified, this claim requires models for the integration and interfacing of emotion and cognition; yet, such models remain problematic.

Past research shows that the bilingual experience may enhance cognitive executive function. In this experiment, we evaluated cognitive control in bilinguals relative to monolinguals by using a dimensional overlap model to predict performance in a task composed of Stroop and Simon stimuli. A group of 24 Spanish monolinguals and 24 bilinguals with differing first languages and all having Spanish as a second language did a picture naming task and a task composed of Stroop and Simon stimuli, where the effect of (...) different overlap conditions between stimuli and responses were examined. The tasks were performed in Spanish for both groups and performance was indexed with behavioral and electrophysiological measures. We hypothesized that the bilinguals’ daily language practice in L2 reflected overlap conditions similar to the Simon task. Both naming a picture in L2 and the Simon task would involve conflict at the response level. L2 picture naming entails interference between two potential oral responses, to name in L2 vs. L1. Similarly, incongruent stimuli in the Simon task produce interference because the irrelevant dimension overlap with an incorrect response. In contrast, the manual Stroop task involves a different type of conflict between two overlapping stimulus dimensions. We predicted for these reasons a superior performance in Simon tasks over Stroop tasks for bilinguals, while monolinguals were expected to have a similar performance in both tasks. We also expected to see a correlation between the performance on the picture naming task and the Simon task in bilinguals. However, the behavioral results did not confirm these hypotheses. In fact, both groups had similar congruency effects as measured by reaction times and error rates, and there was no correlation between the picture naming and Simon task in bilinguals. Despite this, the electrophysiological data suggested a relationship between the picture naming task and the P300 congruency effect in bilinguals. Our findings provide insights into the neurocognitive bases of language and serve as a research avenue for language behaviors in bilinguals. (shrink)

Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modelling probabilistic-dynamic systems using two aspects of quantum theory. The first, 'contextuality', is a way to understand interference effects found with inferences and decisions under conditions of uncertainty. The second, 'quantum entanglement', (...) allows cognitive phenomena to be modeled in non-reductionist ways. Employing these principles drawn from quantum theory allows us to view human cognition and decision in a totally new light. Introducing the basic principles in an easy-to-follow way, this book does not assume a physics background or a quantum brain and comes complete with a tutorial and fully worked-out applications in important areas of cognition and decision. (shrink)

Subjects exposed to strings of letters generated by a finite state grammar can later classify grammatical and nongrammatical test strings, even though they cannot adequately say what the rules of the grammar are (e.g., Reber, 1989). The MINERVA 2 (Hintzman, 1986) and Medin and Schaffer (1978) memory‐array models and a number of connectionist outoassociator models are tested against experimental data by deriving mainly parameter‐free predictions from the models of the rank order of classification difficulty of test strings. The importance of (...) different assumptions regarding the coding of features (How should the absence of a feature be coded? Should single letters or digrams be coded?), the learning rule used (Hebb rule vs. delta rule), and the connectivity (Should features be predicted only by previous features in the string, or by all features simultaneously?) is investigated by determining the performance of the models with and without each assumption. Only one class of connectionist model (the simultaneous delta rule) passes all the tests. It is shown that this class of model can be regarded by abstracting a set of representative but incomplete rules of the grammar. (shrink)

Autonomist accounts of cognitive science suggest that cognitive model building and theory construction (can or should) proceed independently of findings in neuroscience. Common functionalist justifications of autonomy rely on there being relatively few constraints between neural structure and cognitive function (e.g., Weiskopf, 2011). In contrast, an integrative mechanistic perspective stresses the mutual constraining of structure and function (e.g., Piccinini & Craver, 2011; Povich, 2015). In this paper, I show how model-based cognitive neuroscience (MBCN) epitomizes the integrative mechanistic perspective and concentrates (...) the most revolutionary elements of the cognitive neuroscience revolution (Boone & Piccinini, 2016). I also show how the prominent subset account of functional realization supports the integrative mechanistic perspective I take on MBCN and use it to clarify the intralevel and interlevel components of integration. (shrink)

Teams are pervasive in the history of mankind. Particularly in our fast-growing modern society, teams composed of members from different cultures and disciplines are quite often used at workplace. Though widely used, the effectiveness of teams is inconsistent. Meta-analyses show a double-edged effect of diversity on creativity and innovation, suggesting that diversity needs to be tactfully managed if we want to leverage the creative potential of teams. The current paper strives to meet this challenge and makes suggestions on how to (...) foster creativity in intercultural and interdisciplinary teams. It discusses the concepts of teams vs. groups and creativity vs. innovation. Drawing upon the sociocultural theories of creativity and innovation, particularly literature reviews and meta-analyses, this paper attempts to identify motivational, cognitive and environmental enablers of team creativity. These enablers can be summarized as a VICTORY model, which focuses on team (T) and synthesizes the sociocultural (Vision), motivational (Openness, Risk-taking, Yes-mindset) and cognitive (Ideation, Combination) antecedents of team creativity. (shrink)

This chapter contains sections titled: Introduction Discovering a Defensible Kind of Philosophical Writing Imitators vs. Constitution‐Painters The Necessary and Sufficient Criterion of Philosophical Writing.

Psychologists and neuroscientists extensively rely on computational models for studying and analyzing the human mind. Traditionally, such computational models have been hand-designed by expert researchers. Two prominent examples are cognitive architectures and Bayesian models of cognition. Although the former requires the specification of a fixed set of computational structures and a definition of how these structures interact with each other, the latter necessitates the commitment to a particular prior and a likelihood function that – in combination with Bayes' rule (...) – determine the model's behavior. In recent years, a new framework has established itself as a promising tool for building models of human cognition: the framework of meta-learning. In contrast to the previously mentioned model classes, meta-learned models acquire their inductive biases from experience, that is, by repeatedly interacting with an environment. However, a coherent research program around meta-learned models of cognition is still missing to date. The purpose of this article is to synthesize previous work in this field and establish such a research program. We accomplish this by pointing out that meta-learning can be used to construct Bayes-optimal learning algorithms, allowing us to draw strong connections to the rational analysis of cognition. We then discuss several advantages of the meta-learning framework over traditional methods and reexamine prior work in the context of these new insights. (shrink)