Important aspects of human cognition are considered in terms of patterning, which we claim represents a shift from focusing on what is present to what is absent. We make use of Deacon’s notion of absentials and apply it to the patterning that underscores human cognition. Several important aspects of human cognition are considered that represent a shift from focusing on what is present to what is absent, namely, language as representing the transition from percept (...) to concept-based thinking, mathematical grouping and patterning of items into sets that gave rise to verbal language, as well as imaginative thinking which is so critical for the development of the arts, mathematics and science. The connection between information and absence is also examined, in which we claim that information is an absential, paralleling an idea of Deacon’s. (shrink)

The real reason for the apparent discontinuity between human and nonhuman minds is that all closely related hominids have become extinct. Nonetheless, I agree with Penn et al. that comparative psychology should aim to establish what cognitive traits humans share with other animals and what traits they do not share, because this could make profound contributions to genetics and neuroscience. There is, however, no consensus yet, and Penn et al.'s conclusion that it all comes down to one trait is (...) premature. (shrink)

In this paper, I respond to Kriegel’s criticism of McGinn’s mysterianism. Kriegel objects to a particular argument for the possibility of human cognitive closure and also gives a direct argument against mysterianism. I intend to show that neither the objection nor the argument is convincing.

The goal of this paper is to explore, from a phenomenologically informed perspective, the phenomenon of the operative spatialization of human thinking, viewed in its relationship with the embodied human organism’s spatial experience. Operative spatialization in this context refers to the cognitive role and functioning of spatial schematizations and differentiations in human thinking. My particular focus is the domain of conceptualization. By drawing on Husserl’s discussion of the (linguistic) process of a sedimentation of meaning, I aim to (...) show that spatialization functions in a structurally ambivalent manner. On the one hand, spatialization predisposes and thus narrows the scope of human conceptual thought. On the other hand, spatialization establishes an implicit cognitive scaffold indispensable for the development and practice of human higher-order thinking. The structure and functioning of this scaffold, I argue, is intrinsically related to the spatial structure and dynamics of human embodiment. Synthesizing insights from phenomenological studies concerning the experiential constitution of space, and classic and recent research findings from fields such as cognitive linguistics and psychology concerning the cognitive dimension of image-schemas and gestural behavior, I argue that the living human body functions centrally as the sense-constitutive ‘site of conversion’ (Husserl) between concrete structures of spatial experience and abstract structures of conceptual thought. (shrink)

Recent advances in neuroscience have paved the way to innovative applications that cognitively augment and enhance humans in a variety of contexts. This paper aims at providing a snapshot of the current state of the art and a motivated forecast of the most likely developments in the next two decades. Firstly, we survey the main neuroscience technologies for both observing and influencing brain activity, which are necessary ingredients for human cognitive augmentation. We also compare and contrast such technologies, as (...) their individual characteristics (e.g., spatio-temporal resolution, invasiveness, portability, energy requirements and cost) influence their current and future role in human cognitive augmentation. Secondly, we chart the state of the art on neurotechnologies for human cognitive augmentation, keeping an eye both on the applications that already exist and those that are emerging or are likely to emerge in the next two decades. Particularly, we consider applications in the areas of communication, cognitive enhancement, memory, attention monitoring/enhancement, situation awareness and complex problem solving, and we look at what fraction of the population might benefit from such technologies and at the demands they impose in terms of user training. Thirdly, we briefly review the ethical issues associated with current neuroscience technologies. These are important because they may differentially influence both present and future research on (and adoption of) neurotechnologies for human cognitive augmentation: an inferior technology with no significant ethical issues may thrive while a superior technology causing widespread ethical concerns may end up being outlawed. Finally, based on the lessons learned in our analysis, using past trends and considering other related forecasts, we attempt to forecast the most likely future developments of neuroscience technology for human cognitive augmentation and provide informed recommendations for promising future research and exploitation avenues. (shrink)

Most cognitive psychology experiments evaluate models of human cognition using a relatively small, well-controlled set of stimuli. This approach stands in contrast to current work in neuroscience, perception, and computer vision, which have begun to focus on using large databases of natural images. We argue that natural images provide a powerful tool for characterizing the statistical environment in which people operate, for better evaluating psychological theories, and for bringing the insights of cognitive science closer to real applications. We (...) discuss how some of the challenges of using natural images as stimuli in experiments can be addressed through increased sample sizes, using representations from computer vision, and developing new experimental methods. Finally, we illustrate these points by summarizing recent work using large image databases to explore questions about human cognition in four different domains: modeling subjective randomness, defining a quantitative measure of representativeness, identifying prior knowledge used in word learning, and determining the structure of natural categories. (shrink)

In this chapter, we aimed at further characterizing the functional neuroanatomy of the human rapid eye movement (REM) sleep at the population level. We carried out a meta-analysis of a large dataset of positron emission tomography (PET) scans acquired during wakefulness, slow wave sleep and REM sleep, and focused especially on the brain areas in which the activity diminishes during REM sleep. Results show that quiescent regions are confined to the inferior and middle frontal cortex and to the inferior (...) parietal lobule. Providing a plausible explanation for some of the features of dream reports, these findings may help in refining the concepts, which try to account for human cognition during REM sleep. In particular, we discuss the significance of these results to explain the alteration in executive processes, episodic memory retrieval and self representation during REM sleep dreaming as well as the incorporation of external stimuli into the dream narrative. (shrink)

Can the output of human cognition be predicted from the assumption that it is an optimal response to the information-processing demands of the environment? A methodology called rational analysis is described for deriving predictions about cognitive phenomena using optimization assumptions. The predictions flow from the statistical structure of the environment and not the assumed structure of the mind. Bayesian inference is used, assuming that people start with a weak prior model of the world which they integrate with experience (...) to develop stronger models of specific aspects of the world. Cognitive performance maximizes the difference between the expected gain and cost of mental effort. Memory performance can be predicted on the assumption that retrieval seeks a maximal trade-off between the probability of finding the relevant memories and the effort required to do so; in categorization performance there is a similar trade-off between accuracy in predicting object features and the cost of hypothesis formation; in casual inference the trade-off is between accuracy in predicting future events and the cost of hypothesis formation; and in problem solving it is between the probability of achieving goals and the cost of both external and mental problem-solving search. The implemention of these rational prescriptions in neurally plausible architecture is also discussed. (shrink)

When we understand that something is a pot, is it because of one property that all pots share? This seems unlikely, but without this common essence, it is difficult to see how we could teach someone to use the word "pot" or to see something as _a_ pot. The Buddhist apoha theory tries to resolve this dilemma, first, by rejecting properties such as "potness" and, then, by claiming that the element uniting all pots is their very difference from all non-pots. (...) In other words, when we seek out a pot, we select an object that is not a non-pot, and we repeat this practice with all other items and expressions. Writing from the vantage points of history, philosophy, and cognitive science, the contributors to this volume clarify the nominalist apoha theory and explore the relationship between apoha and the scientific study of human cognition. They engage throughout in a lively debate over the theory's legitimacy. Classical Indian philosophers challenged the apoha theory's legitimacy, believing instead in the existence of enduring essences. Seeking to settle this controversy, essays explore whether apoha offers new and workable solutions to problems in the scientific study of human cognition. They show that the work of generations of Indian philosophers can add much toward the resolution of persistent conundrums in analytic philosophy and cognitive science. (shrink)

Wagman examines the emulation of human cognition by artificial intelligence systems. The book provides detailed examples of artificial intelligence programs (such as the FERMI System and KEKADA program) accomplishing highly intellectual tasks.

Ambitious and elegant, this book builds a bridge between evolutionary theory and cultural psychology. Michael Tomasello is one of the very few people to have done systematic research on the cognitive capacities of both nonhuman primates and human children. The Cultural Origins of Human Cognition identifies what the differences are, and suggests where they might have come from. -/- Tomasello argues that the roots of the human capacity for symbol-based culture, and the kind of psychological development (...) that takes place within it, are based in a cluster of uniquely human cognitive capacities that emerge early in human ontogeny. These include capacities for sharing attention with other persons; for understanding that others have intentions of their own; and for imitating, not just what someone else does, but what someone else has intended to do. In his discussions of language, symbolic representation, and cognitive development, Tomasello describes with authority and ingenuity the "ratchet effect" of these capacities working over evolutionary and historical time to create the kind of cultural artifacts and settings within which each new generation of children develops. He also proposes a novel hypothesis, based on processes of social cognition and cultural evolution, about what makes the cognitive representations of humans different from those of other primates. -/- Lucid, erudite, and passionate, The Cultural Origins of Human Cognition will be essential reading for developmental psychology, animal behavior, and cultural psychology. (from the HUP website). (shrink)

This paper presents the main paradoxes of the theory of human cognition, namely the paradoxes of epistemology and methodology. Each of paradoxes is given its laconic solution using a more strict definition of relevant concepts. Suggested solutions could be helpful in developing further the complete teaching of human cognition.

ABSTRACTHumans are cognitive misers because their basic tendency is to default to processing mechanisms of low computational expense. Such a tendency leads to suboptimal outcomes in certain types of hostile environments. The theoretical inferences made from correct and incorrect responding on heuristics and biases tasks have been overly simplified, however. The framework developed here traces the complexities inherent in these tasks by identifying five processing states that are possible in most heuristics and biases tasks. The framework also identifies three possible (...) processing defects: inadequately learned mindware; failure to detect the necessity of overriding the miserly response; and failure to sustain the override process once initiated. An important insight gained from using the framework is that degree of mindware instantiation is strongly related to the probability of successful detection and override. Thus, errors on such tasks cannot be unambiguously attributed to miserly processing – and corre... (shrink)

A consideration of efforts to explain religion naturalistically, including a range of recent cognitive-evolutionary approaches. The book also examines recent efforts to reconcile natural-scientific accounts of the world with traditional religious teachings.

Searching for information is critical in many situations. In medicine, for instance, careful choice of a diagnostic test can help narrow down the range of plausible diseases that the patient might have. In a probabilistic framework, test selection is often modeled by assuming that people's goal is to reduce uncertainty about possible states of the world. In cognitive science, psychology, and medical decision making, Shannon entropy is the most prominent and most widely used model to formalize probabilistic uncertainty and the (...) reduction thereof. However, a variety of alternative entropy metrics (Hartley, Quadratic, Tsallis, Rényi, and more) are popular in the social and the natural sciences, computer science, and philosophy of science. Particular entropy measures have been predominant in particular research areas, and it is often an open issue whether these divergences emerge from different theoretical and practical goals or are merely due to historical accident. Cutting across disciplinary boundaries, we show that several entropy and entropy reduction measures arise as special cases in a unified formalism, the Sharma–Mittal framework. Using mathematical results, computer simulations, and analyses of published behavioral data, we discuss four key questions: How do various entropy models relate to each other? What insights can be obtained by considering diverse entropy models within a unified framework? What is the psychological plausibility of different entropy models? What new questions and insights for research on human information acquisition follow? Our work provides several new pathways for theoretical and empirical research, reconciling apparently conflicting approaches and empirical findings within a comprehensive and unified information‐theoretic formalism. (shrink)

The development of modern science has depended strongly on specific features of the cultures involved; however, its results are widely and trans-culturally accepted and applied. The science and technology of electricity provides a particularly interesting example. It emerged as a specific product of post-Renaissance Europe, rooted in the Greek philosophical tradition that encourages explanations of nature in theoretical terms. It did not evolve in China presumably because such encouragement was missing. The trans-cultural acceptance of modern science and technology is postulated (...) to be due, in part, to the common biological dispositions underlying human cognition, with generalizable capabilities of abstract, symbolic and strategic thought. These faculties of the human mind are main prerequisites for dynamic cultural development and differentiation. They appear to have evolved up to a stage of hunters and gatherers perhaps some 100 000 years ago. However, the extent of the correspondence between some constructions of the human mind and the order of nature, as revealed by science, is a late insight of the last centuries. Quantum physics and relativity are particularly impressive examples. (shrink)

The intentions to simulate human cognition are permanently increasing. Nonetheless, our knowledge about human cognition is based on fragments of different points of view. Hence, it is necessary to examine which demands these points of view make on technologies aiming at simulating human cognition. In this paper it is argued that no technology can function beyond the cognitive abilities of its constructor. It seems that the cognitive limits and constrains of the constructor will also (...) be implanted in the technologies. It is perhaps the right time to think about what kind of future we are going to create by means of an artificial cognition built upon fragmentary, and many times confusing, premises. (shrink)

Social engineering cyberattacks are a major threat because they often prelude sophisticated and devastating cyberattacks. Social engineering cyberattacks are a kind of psychological attack that exploits weaknesses in human cognitive functions. Adequate defense against social engineering cyberattacks requires a deeper understanding of what aspects of human cognition are exploited by these cyberattacks, why humans are susceptible to these cyberattacks, and how we can minimize or at least mitigate their damage. These questions have received some amount of attention, (...) but the state-of-the-art understanding is superficial and scattered in the literature. In this paper, we review human cognition through the lens of social engineering cyberattacks. Then, we propose an extended framework of human cognitive functions to accommodate social engineering cyberattacks. We cast existing studies on various aspects of social engineering cyberattacks into the extended framework, while drawing a number of insights that represent the current understanding and shed light on future research directions. The extended framework might inspire future research endeavor toward a new sub-field that can be called Cybersecurity Cognitive Psychology, which tailors or adapts principles of Cognitive Psychology to the cybersecurity domain while embracing new notions and concepts that are unique to the cybersecurity domain. (shrink)

In order to maximize human performance, defence forces continue to explore, develop, and apply human performance enhancement (HPE) methods, ranging from pharmaceuticals to (bio)technological enhancement. This raises ethical, legal, and societal concerns and requires organizing a careful reflection and deliberation process, with relevant stakeholders. We discuss a range of ethical, legal, and societal aspects (ELSA), which people involved in the development and deployment of HPE can use for such reflection and deliberation. A realistic military scenario with proposed HPE (...) application can serve as a starting point for such an iterative and participatory process. Stakeholders can discuss this application, modify its features, and design appropriate processes around it – for instance, procedures for informed consent. We propose that organizing aspects into these three categories – ethical, legal, and societal – can help involve appropriate interlocutors at different moments: legal aspects with people in strategy or management roles, from the start of a project; ethical aspects with people in operations and medical roles, during development; and societal aspects with people in communication and personnel roles, during deployment. Notably, we developed and discussed this framework and the three aspects in close collaboration with personnel from the military. (shrink)

It is widely believed that what distinguishes the social cognition of humans from that of other animals is the belief–desire psychology of four–year–old children and adults (so–called theory of mind). We argue here that this is actually the second ontogenetic step in uniquely human social cognition. The first step is one year old children's understanding of persons as intentional agents, which enables skills of cultural learning and shared intentionality. This initial step is ‘the real thing’ in the (...) sense that it enables young children to participate in cultural activities using shared, perspectival symbols with a conventional/normative/reflective dimension—for example, linguistic communication and pretend play—thus inaugurating children's understanding of things mental. Understanding beliefs and participating in collective intentionality at four years of age—enabling the comprehension of such things as money and marriage—results from several years of engagement with other persons in perspective–shifting and reflective discourse containing propositional attitude constructions. (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)

One important goal of cognitive science is to understand the mind in terms of its representational and computational capacities, where computational modeling plays an essential role in providing theoretical explanations and predictions of human behavior and mental phenomena. In my research, I have been using computational modeling, together with behavioral experiments and cognitive neuroscience methods, to investigate the information processing mechanisms underlying learning and visual cognition in terms of perceptual representation and attention strategy. In perceptual representation, I have (...) used neural network models to understand how the split architecture in the human visual system influences visual cognition, and to examine perceptual representation development as the results of expertise. In attention strategy, I have developed the Eye Movement analysis with Hidden Markov Models method for quantifying eye movement pattern and consistency using both spatial and temporal information, which has led to novel findings across disciplines not discoverable using traditional methods. By integrating it with deep neural networks (DNN), I have developed DNN+HMM to account for eye movement strategy learning in human visual cognition. The understanding of the human mind through computational modeling also facilitates research on artificial intelligence's (AI) comparability with human cognition, which can in turn help explainable AI systems infer humans’ belief on AI's operations and provide human-centered explanations to enhance human−AI interaction and mutual understanding. Together, these demonstrate the essential role of computational modeling methods in providing theoretical accounts of the human mind as well as its interaction with its environment and AI systems. (shrink)

Apoha: Buddhist Nominalism and Human Cognition. Edited by Mark Siderits, Tom Tillemans, and Arindam Chakrabarti. New York: Columbia University Press, 2011. Pp. viii + 333. $95 ; $32 ; $31.99.

In this essay, I consider the implications for traditional philosophical ethics posed by discoveries in brain research or neurocognition as well as psychological discoveries concerning human biases and cognitive limitations presented in behavioral economics. I conclude that although there still is much for philosophical ethics to do, the empirical research shows that human freedom and responsibility for ethical decisions is somewhat diminished and that choice architecture and nudges through public policy become important for getting people to do the (...) right thing. (shrink)

Bullot & Reber (B&R) provide compelling evidence that sensitivity to context, history, and design stance are crucial to theories of art appreciation. We ask how these ideas relate to broader aspects of human cognition. Further open questions concern how psychological essentialism contributes to art appreciation and how essentialism regarding created artifacts (such as art) differs from essentialism in other domains.

In conformity with the dynamical perspective advocated by van Gelder, a more psychological approach can highlight the intrinsic temporality of human cognition, revealing the inadequacies of representationalism as a framework for the modeling of mind.

Counter to the traditional semiotic view of language as an object used in an instrumental function, linguistic semiosis is seen as constitutive of human cognition, accounting for sapience as the ….

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)

This article aims to bridge quantum physics, human cognition, and Kitarō Nishida's logic of basho. The primary claim is that the indeterminacy underlying both quantum and cognitive phenomena is synonymous with Nishida’s “absolute nothingness”, the ontological basis of the logic. By interpreting Nishida’s soku hi dialectic in terms of phenomenal appearances in awareness, Nishida’s term “basho” is equated with this place where awareness actualises thereby allowing Nishida’s three basho to be framed in terms of the degree of subjectivity (...) present within awareness. Connections between logic of basho and the theory of enactive cognition are set out with emphasis on how cognitive representation can be placed in the human’s enactive engagement with reality. As the logic of basho accounts for the dialectical nature of both quantum reality and cognitive reality, the article concludes that his logic can be seen as encompassing physical reality as well as the reality of (non-)subjective awareness. (shrink)

Context: Distributed language and interactivity are central members of a set of concepts that are rapidly developing into rigorous, exciting additions to 4E cognitive science. Because they share certain assumptions and methodological commitments with enactivism, the two have sometimes been confused; additionally, while enactivism is a well-developed paradigm, interactivity has relied more on methodological development and on a set of focal examples. Problem: The goal of this article is to clarify the core conceptual commitments of both interactivity-based and enactive approaches (...) to cognitive science by contrasting the two and highlighting their differences in assumptions, focus, and explanatory strategies. Method: We begin with the shared commitments of interactivity and enactivism - e.g., antirepresentationalism, naturalism, interdisciplinarity, the importance of biology, etc. We then give an overview of several important varieties of enactivism, including sensorimotor and anti-representationalist enactivism, and then walk through the history of the “core” varieties, taking care to contrast Maturana’s approach with that of Varela and the current researchers following in Varela’s footsteps. We then describe the differences between this latter group and interactivity-based approaches to cognitive science. Results: We argue that enactivism’s core concepts are explanatorily inadequate in two ways. First, they mis-portray the organization of many living systems, which are not operationally closed. Second, they fail to realize that most epistemic activity depends on engagement with non-local resources. Both problems can be dealt with by adopting an interactivity-based perspective, in which agency and cognition are fundamentally distributed and involve integration of non-local resources into the local coupling of organism and environment. Implications: The article’s primary goal is theoretical clarification and exposition; its primary implication is that enactive concepts need to be modified or extended in some way in order to explain fully many aspects of cognition and directed biological activity. Or, read another way, the article’s primary implication is that interactivity already provides a rich set of concepts for doing just that, which, while closely allied with enactivism in several ways, are not enactivist concepts. Constructivist content: The article consists entirely of a comparison between two constructivist fields of theory. Key Words: Interactivity, enactivism, distributed language, radical embodied cognitive science, ecological psychology, autonomy. (shrink)

Research on human infants, adult nonhuman primates, and children and adults in diverse cultures provides converging evidence for four systems at the foundations of human knowledge. These systems are domain specific and serve to represent both entities in the perceptible world (inanimate manipulable objects and animate agents) and entities that are more abstract (numbers and geometrical forms). Human cognition may be based, as well, on a fifth system for representing social partners and for categorizing the social (...) world into groups. Research on infants and children may contribute both to understanding of these systems and to attempts to overcome misconceptions that they may foster. (shrink)

Syllogisms (e.g. “All A are B; All B are C; What is true about A and C?”) are a long‐studied area of human reasoning. Riesterer, Brand, and Ragni compare a variety of models to human performance and show that not only do current models have a lot of room for improvement, but more importantly a large part of this improvement must come from examining individual differences in performance.

The theory of psychosis and autism as diametrical disorders offers a tractable and testable view of normal and abnormal human cognitive variation as a function of opposing traits grouped by their selection for maternal and paternal reproductive fitness. The theory could be usefully rooted and developed with reference to the lower-level perceptual and attentional phenomena from which social cognitive modules are developmentally refined.

Strong adaptationists explore complex organic design as taskspecific adaptations to ancestral environments. This strategy seems best when there is evidence of homology. Weak adaptationists don't assume that complex organic (including cognitive and linguistic) functioning necessarily or primarily represents taskspecific adaptation. This approach to cognition resembles physicists' attempts to deductively explain the most facts with fewest hypotheses. For certain domainspecific competencies (folkbiology) strong adaptationism is useful but not necessary to research. With grouplevel belief systems (religion) strong adaptationism degenerates into spurious (...) notions of social function and cultural selection. In other cases (language, especially universal grammar) weak adaptationism's 'minimalist' approach seems productive. (shrink)

The main purpose of this study is to probe into the human capacity of understanding systems and defects in human knowledge of the world. The study addresses the greyness levels and systems levels and explains why the world cannot be perceived as a purely white or black structure. It also clarifies why human knowledge of systems always remains grey. The investigation relies on logical and deductive reasoning and uses the theoretical foundations of systems thinking and Boulding’s systems (...) hierarchy. The most important argument that this study advances is that human knowledge, in any form or under any circumstances, is grey and incomplete and will remain grey. Because the notion of “perfect knowledge” is ambiguous given human epistemic limits, any proportion of knowledge is incomplete and prone to change. Less complexity could lead to more accurate predications, but even in the simplest forms of systems, reaching perfect knowledge seems to be an unwarranted claim. Furthermore, because our perception of past events is incomplete, we cannot predict the future with certainty, as a result of which both the past and the future appear grey to us. The world, as an integrated system, is neither black nor white, but it remains grey, and the systems partially recognized by humans are part of the grey world. Gaining knowledge and increasing discoveries only contribute to the grey systems that are already known. (shrink)

In this paper, we examine the role of materiality in human cognition. We address issues such as the ways in which brain functions may change in response to interactions with material forms, the attributes of material forms that may cause change in brain functions, and the spans of time required for brain functions to reorganize when interacting with material forms. We then contrast thinking through materiality with thinking about it. We discuss these in terms of their evolutionary significance (...) and history as attested by stone tools and writing, material forms whose interaction endowed our lineage with conceptual thought and meta-awareness of conceptual domains. (shrink)

In this paper I argue that the effects of sin for our cognition of God primarily consist in a lack of knowledge by acquaintance of God and the relevant ensuing propositional knowledge. In the course of my argument, I make several conceptual distinctions and offer analyses of 1Cor 13:9-12 and Rom 1:18-23. As it turns out, we have ample reason to think that sin has had and still has profound consequences for our cognition of God, but there is (...) no reason to think that sin has taken away all knowledge of God or that sin has resulted in a loss of specific cognitive faculties that are oriented toward knowledge of God. (shrink)

Since the emergence of our species at least, natural selection based on genetic variation has been replaced by culture as the major driving force in human evolution. It has made us what we are today, by ratcheting up cultural innovations, promoting new cognitive skills, rewiring brain networks, and even shifting gene distributions. Adopting an evolutionary perspective can therefore be highly informative for cognitive science in several ways: It encourages us to ask grand questions about the origins and ramifications of (...) our cognitive abilities; it equips us with the means to investigate, explain, and understand key dimensions of cognition; and it allows us to recognize the continued and ubiquitous workings of culture and evolution in everyday instances of cognitive behavior. Taking advantage of this reorientation presupposes a shift in focus, though, from human cognition as a general, homogenous phenomenon to the appreciation of cultural diversity in cognition as an invaluable source of data. (shrink)

Everybody knows that humans are cultural animals. Although this fact is universally acknowledged, many opportunities to exploit it are overlooked. In this article, I propose shifting our attention from local examples of extended mind to the cultural-cognitive ecosystems within which human cognition is embedded. I conclude by offering a set of conjectures about the features of cultural-cognitive ecosystems.