The notion of Befindlichkeit in Heidegger’s phenomenological way. Heidegger’s phenomenology of Befindlichkeit and the different kinds of affection was initiated still before Being and Time, and developed in its essential features till the end of the 1930’s. The current paper argues that, since its very origins in a philosophical framework, back to the translation of the affectiones in Augustine, the notion of Befindlichkeit sets the beginning of a structural understanding of existence - displayed both at the ontological levei of Grundstimmungen (...) (such as anguish, boredom or reservedness), and at the ontic level of different factual Stimmungen. Any comprehensive analysis of those affections counts on a tripie background with a Wovor, a Worum and the full-fledged exercise (Vollzug) of such and such affective understanding. In Being and Time this analysis is dedicated to fear, in its different nuances. But this phenomenon was already dealt with in Heidegger’s Lectures on Augustine (1921) and will reoccur in the Beiträge (1936-38). A reading of this conceptual evolution will here ground a defense of the phenomenological character of Heidegger’s way of thinking. (shrink)

Jonathan Boston provides an insightful analysis of the emergence and persistence of child poverty in New Zealand. His remarks on why child poverty matters are brief but, as he reports, “[t]here is a large and robust body of research on the harmful consequences of child poverty”. One cost he does not explicitly mention is the increased risk of maltreatment faced by children living in poverty. Given the clear correlation between risk of abuse and poverty, Boston’s recommendations might be expected to (...) go some way to addressing New Zealand’s appalling child maltreatment statistics. However, Boston himself identifies both fiscal and political barriers to the implementation of his proposed strategy. “Fundamentally”, he observes, “without adequate multi-party agreement, it will be hard to reduce child poverty on a durable basis” and “[c]urrently, such agreement is lacking”. Even if we accept Boston’s strategies for child-poverty reduction, then, it is prudent to consider other responses to the consequences of child poverty. Significant and controversial aspects of New Zealand’s 2013 White Paper for Vulnerable Children can be read in this light, and one of them – the proposal to use predictive risk modeling to identify children at risk of maltreatment – is the focus of this commentary. (shrink)

We explore the relationship between chief executive officer (CEO) personality traits and corporate social responsibility (CSR) reporting. Upper echelons theory indicates that the values, experiences, and personalities of top organizational managers influence their organization's strategic decisions and effectiveness. We utilize IBM Watson Personality Insights software to infer CEOs’ personality traits based on their responses to questions raised by analysts during year‐end conference calls; we obtain CEOs’ Big Five personality traits—openness, conscientiousness, extraversion, agreeableness, and neuroticism—from which we compute a measure of (...) their risk tolerance. Using a longitudinal dataset of Standard and Poor's 500 firms for 2008–2015, we document that high CEO risk tolerance is related to lower CSR report readability and smaller CSR disclosure volume. This finding indicates that executives who are comfortable with greater risk are more willing to supply stakeholders with reports that are shorter and require greater effort to understand. Exploration of the association between CEO Big Five personality traits and CSR report readability and disclosure volume allows key stakeholders to better comprehend CSR disclosures and connotations thereof. Overall, our results contribute to the debate on how CEO personality traits affect organizations’ CSR disclosure reporting strategies, and support upper echelons theory in the CSR setting. (shrink)

Innovation and sustainability are postulated as key variables for the future of large commercial distribution. In addition, the development of Information and Communication Technologies solutions, and especially those related to Artificial Intelligence and digitization, are particularly relevant factors in the current pandemic scenario in which retail companies operate. These tools are essential to face the derived changes in commercial relations, especially between companies and consumers. For all these reasons, this work aims to examine the effect of ICT, as a driving (...) factor for innovation and its direct and indirect impact on sustainability in retailing. Furthermore, this study takes into account the eventual differences in these relationships according to the types of store formats. To achieve the aforementioned objective, a theoretical model is proposed that is tested through an empirical study carried out on a sample of 510 consumers of three store formats of grocery retail formats in Spain. For the analysis of the data obtained, the partial least squares regression technique and the Multigroup Analysis were used. The results obtained confirm the direct and indirect effect of ICT on innovation and sustainability in grocery retailing. In addition, the results indicate that consumers unequally perceive the technological progress of companies. These differences are greater between discount stores versus hypermarkets and supermarkets. The larger the size of the store format, the higher the incidence of ICT in relation to innovation. Therefore, it is vital to take ICT into consideration, where Artificial Intelligence is imperative for the growth and development of sustainable competitive advantages in retail companies. (shrink)

Gualtiero Piccinini presents a systematic and rigorous philosophical defence of the computational theory of cognition. His view posits that cognition involves neural computation within multilevel neurocognitive mechanisms, and includes novel ideas about ontology, functions, neural representation, neural computation, and consciousness.

This paper seeks to understand Heidegger’s phenomenological analysis of the time experience in Sein und Zeit, from the formal point of view of the Care-structure, and in the Seminars of Zollikon, where time is described as world-time in its fullness. Aimed is to show that the early anthropological reception of his major work of 1927 by some of his pupils, like Löwith, who detected similarities with Psychoanalysis, is somehow strengthed by Heidegger himself later on, as he comes with Medard Boss (...) to develop Daseynsanalysis as a metaonlogical understanding of humans life in health and pathology. Illness as privation of health will be seen as the failure of inauthentic existence. And the full, ecstatical experience of time will be shown as the proper or authentic one, being-in-the-world as well as within the psychoanalytical session and interpretation. (shrink)

‘Quiet’ and ‘Disquiet’ are terms which express ways of accounting for time-experience, besides being equally open for a rendering as emotional states. Starting from three existential moods – stress, boredom, and the joy of the present moment – this inquiry aims to put into evidence the structuring features of our existential experience of time itself, both in the daily exercise of our being-in-the-world, and at the level of our being or not being in possession of oneself in such exercise and (...) in its potentially pathological derivates. In this context, which finds its theoretical roots in the Heideggerian analysis of the being-in, quiet and disquiet reveal their paradoxical character in terms of the mutual belonging and tension each of them, respectively, presupposes. At the same time, and with such a basis, we will find the way of understanding ‘quiet’ as a correlate of time as a ‘duration’. (shrink)

We sketch a framework for building a unified science of cognition. This unification is achieved by showing how functional analyses of cognitive capacities can be integrated with the multilevel mechanistic explanations of neural systems. The core idea is that functional analyses are sketches of mechanisms , in which some structural aspects of a mechanistic explanation are omitted. Once the missing aspects are filled in, a functional analysis turns into a full-blown mechanistic explanation. By this process, functional analyses are seamlessly integrated (...) with multilevel mechanistic explanations. (shrink)

Gualtiero Piccinini articulates and defends a mechanistic account of concrete, or physical, computation. A physical system is a computing system just in case it is a mechanism one of whose functions is to manipulate vehicles based solely on differences between different portions of the vehicles according to a rule defined over the vehicles. Physical Computation discusses previous accounts of computation and argues that the mechanistic account is better. Many kinds of computation are explicated, such as digital vs. analog, serial (...) vs. parallel, neural network computation, program-controlled computation, and more. Piccinini argues that computation does not entail representation or information processing although information processing entails computation. Pancomputationalism, according to which every physical system is computational, is rejected. A modest version of the physical Church-Turing thesis, according to which any function that is physically computable is computable by Turing machines, is defended. (shrink)

We begin by distinguishing computationalism from a number of other theses that are sometimes conflated with it. We also distinguish between several important kinds of computation: computation in a generic sense, digital computation, and analog computation. Then, we defend a weak version of computationalism—neural processes are computations in the generic sense. After that, we reject on empirical grounds the common assimilation of neural computation to either analog or digital computation, concluding that neural computation is sui generis. Analog computation requires continuous (...) signals; digital computation requires strings of digits. But current neuroscientific evidence indicates that typical neural signals, such as spike trains, are graded like continuous signals but are constituted by discrete functional elements (spikes); thus, typical neural signals are neither continuous signals nor strings of digits. It follows that neural computation is sui generis. Finally, we highlight three important consequences of a proper understanding of neural computation for the theory of cognition. First, understanding neural computation requires a specially designed mathematical theory (or theories) rather than the mathematical theories of analog or digital computation. Second, several popular views about neural computation turn out to be incorrect. Third, computational theories of cognition that rely on non-neural notions of computation ought to be replaced or reinterpreted in terms of neural computation. (shrink)

We sketch a novel and improved version of Boorse’s biostatistical theory of functions. Roughly, our theory maintains that (i) functions are non-negligible contributions to survival or inclusive fitness (when a trait contributes to survival or inclusive fitness); (ii) situations appropriate for the performance of a function are typical situations in which a trait contributes to survival or inclusive fitness; (iii) appropriate rates of functioning are rates that make adequate contributions to survival or inclusive fitness (in situations appropriate for the performance (...) of that function); and (iv) dysfunction is the inability to perform a function at an appropriate rate in appropriate situations. Based on our theory, we sketch solutions to three problems that have afflicted Boorse’s theory of function, namely, Kingma’s ([2010]) problem of the situation-specificity of functions, the problem of multi-functional traits, and the problem of how to distinguish between appropriate and inappropriate rates of functioning. (shrink)

El intento de estas páginas es el de seleccionar dentro de la semántica del miedo que contribuye a organizar la imagen moderna del orden político y jurídico el elemento específico del pánico, en la hipótesis de que este último constituya una diferencia que es asimismo un recurso epistémico. Dicho de un modo directo: si el miedo se presenta como una referencia constitutiva del orden, de su constitución como de su mantenimiento, el pánico parece, en cambio, cargado de un signo contrario; (...) nos habla de la disolución de un agregado dado por supuesto y es inclusivo en el perimetrar los límites y las condiciones de posibilidad. El objetivo es aquel de repasar algunos momentos de la historia del pánico buscando argumentar que el pánico es una pasión política, en el sentido de que se refiere a aquello de lo que la político está hecha, y al mismo tiempo es expresión de un límite "pasional" de la política, en tanto que define políticamente un límite interno. Respecto a tal objetivo, esta aportación no reivindica más que los caracteres de un hilvanado necesitante de un desarrollo ulterior por lo que se refiere no solo a aquello que no se incluye (y es obviamente mucho), sino también a los nudos que de forma conscientemente provisional se indican. Además, se limita a una periodizacion histórica que es de alguna manera preliminar, deteniéndose en el umbral de la fase en la cual el pánico es una palabra de un discurso disciplinar, es parte del objeto de un saber codificado (psicología, sociología, ciencia política), incluso si no desempeña necesariamente un rol apaciguador. (shrink)

Defending or attacking either functionalism or computationalism requires clarity on what they amount to and what evidence counts for or against them. My goal here is not to evaluate their plausibility. My goal is to formulate them and their relationship clearly enough that we can determine which type of evidence is relevant to them. I aim to dispel some sources of confusion that surround functionalism and computationalism, recruit recent philosophical work on mechanisms and computation to shed light on them, and (...) clarify how functionalism and computationalism may or may not legitimately come together. (shrink)

Written by two of the leading figures in the field, this is a lucid and systematic introduction to semantics as applied to transformational grammars of the ...

Newell was a founder of artificial intelligence and a pioneer in the use of computer simulations in psychology. In collaboration with J. Cliff Shaw and Herbert A. Simon, Newell developed the first list-processing programming language as well as the earliest computer programs for simulating human problem solving. Over a long and prolific career, he contributed to many techniques, such as protocol analysis and heuristic search, that are now part of psychology and computer science. Colleagues remembered Newell for his deep commitment (...) to science, his care for details, and his inexhaustible energy. (shrink)

The following three theses are inconsistent: (1) (Paradigmatic) connectionist systems perform computations. (2) Performing computations requires executing programs. (3) Connectionist systems do not execute programs. Many authors embrace (2). This leads them to a dilemma: either connectionist systems execute programs or they don't compute. Accordingly, some authors attempt to deny (1), while others attempt to deny (3). But as I will argue, there are compelling reasons to accept both (1) and (3). So, we should replace (2) with a more satisfactory (...) account of computation. Once we do, we can see more clearly what is peculiar to connectionist computation. (shrink)

This paper offers an account of what it is for a physical system to be a computing mechanism—a mechanism that performs computations. A computing mechanism is any mechanism whose functional analysis ascribes it the function of generating outputs strings from input strings in accordance with a general rule that applies to all strings. This account is motivated by reasons that are endogenous to the philosophy of computing, but it may also be seen as an application of recent literature on mechanisms. (...) The account can be used to individuate computing mechanisms and the functions they compute and to taxonomize computing mechanisms based on their computing power. This makes it ideal for grounding the comparison and assessment of computational theories of mind and brain. (shrink)

Machery’s argument that concepts split into different kinds is bold and inspiring but not fully persuasive. We will focus on the lack of evidence for the fourth tenet of Machery’s..

Knowledge is factually grounded belief. This account uses the same ingredients as the traditional analysis—belief, truth, and justification—but posits a different relation between them. While the traditional analysis begins with true belief and improves it by simply adding justification, this account begins with belief, improves it by grounding it, and then improves it further by grounding it in the facts. In other words, for a belief to be knowledge, it's not enough that it be true and justified; for a belief (...) to be knowledge, it must be justified by the facts. This account solves the Gettier problem. Gettierized beliefs fall short of knowledge because, albeit true and justified, they are not grounded in the facts. This account also elucidates why knowledge attributions are sensitive to epistemic standards. It's because whether we take a belief to be grounded in the facts is sensitive to epistemic standards. (shrink)

Since the cognitive revolution, it has become commonplace that cognition involves both computation and information processing. Is this one claim or two? Is computation the same as information processing? The two terms are often used interchangeably, but this usage masks important differences. In this paper, we distinguish information processing from computation and examine some of their mutual relations, shedding light on the role each can play in a theory of cognition. We recommend that theorists of cognition be explicit and careful (...) in choosing notions of computation and information and connecting them together.Keywords: Computation; Information processing; Computationalism; Computational theory of mind; Cognitivism. (shrink)

This paper offers an account of what it is for a physical system to be a computing mechanism—a system that performs computations. A computing mechanism is a mechanism whose function is to generate output strings from input strings and (possibly) internal states, in accordance with a general rule that applies to all relevant strings and depends on the input strings and (possibly) internal states for its application. This account is motivated by reasons endogenous to the philosophy of computing, namely, doing (...) justice to the practices of computer scientists and computability theorists. It is also an application of recent literature on mechanisms, because it assimilates computational explanation to mechanistic explanation. The account can be used to individuate computing mechanisms and the functions they compute and to taxonomize computing mechanisms based on their computing power. (shrink)

The received view is that computational states are individuated at least in part by their semantic properties. I offer an alternative, according to which computational states are individuated by their functional properties. Functional properties are specified by a mechanistic explanation without appealing to any semantic properties. The primary purpose of this paper is to formulate the alternative view of computational individuation, point out that it supports a robust notion of computational explanation, and defend it on the grounds of how computational (...) states are individuated within computability theory and computer science. A secondary purpose is to show that existing arguments for the semantic view are defective. (shrink)

I defend three main conclusions. First, whether a method is public is important, because non-public methods are scientifically illegitimate. Second, there are substantive prescriptive differences between the view that private methods are legitimate and the view that private methods are illegitimate. Third, Descriptive Experience Sam-pling is a public method.

Computation and information processing are among the most fundamental notions in cognitive science. They are also among the most imprecisely discussed. Many cognitive scientists take it for granted that cognition involves computation, information processing, or both – although others disagree vehemently. Yet different cognitive scientists use ‘computation’ and ‘information processing’ to mean different things, sometimes without realizing that they do. In addition, computation and information processing are surrounded by several myths; first and foremost, that they are the same thing. In (...) this paper, we address this unsatisfactory state of affairs by presenting a general and theory-neutral account of computation and information processing. We also apply our framework by analyzing the relations between computation and information processing on one hand and classicism and connectionism on the other. We defend the relevance to cognitive science of both computation, in a generic sense that we fully articulate for the first time, and information processing, in three important senses of the term. Our account advances some foundational debates in cognitive science by untangling some of their conceptual knots in a theory-neutral way. By leveling the playing field, we pave the way for the future resolution of the debates’ empirical aspects. (shrink)

This paper explores whether MacIntyrean virtue ethics concepts are applicable in non-Western business contexts, specifically in SMEs in Taiwan, a country strongly influenced by the Confucian tradition. It also explores what differences exist between different polities in this respect, and specifically interprets observed differences between the Taiwanese study and previous studies conducted in Europe and Asia. Based on case study research, the findings support the generalizability of the MacIntyrean framework. Drawing on the institutional logics perspective and synthesizing this with MacIntyrean (...) concepts, the paper explains the differences between the studies largely by reference to the Confucian tradition operating at both the micro-level within firms and at the macro-level as a means of harmonizing the potentially competing institutional logics to which firms are subject. The recent weakening of this tradition, however, suggests that increased conflict may characterize the future. (shrink)

It’s fashionable to maintain that in the near future we can become immortal by uploading our minds to artificial computers. Mind uploading requires three assumptions: that we can construct realistic computational simulations of human brains; that realistic computational simulations of human brains would have conscious minds like those possessed by the brains being simulated; that the minds of the simulated brains survive through the simulation. I will argue that the first two assumptions are implausible and the third is false. Therefore, (...) we will not upload our mind to computers and, most likely, we will not upload anything resembling our mind to computers. (shrink)

We argue that there are two different kinds of altruistic motivation: classical psychological altruism, which generates ultimate desires to help other organisms at least partly for those organisms’ sake, and nonclassical psychological altruism, which generates ultimate desires to help other organisms for the sake of the organism providing the help. We then argue that classical psychological altruism is adaptive if the desire to help others is intergenerationally reliable and, thus, need not be learned. Nonclassical psychological altruism is adaptive when the (...) desire to help others is adaptively learnable. This theory opens new avenues for the interdisciplinary study of psychological altruism. (shrink)

According to some philosophers, computational explanation is proprietary
to psychology—it does not belong in neuroscience. But neuroscientists routinely offer computational explanations of cognitive phenomena. In fact, computational explanation was initially imported from computability theory into the science of mind by neuroscientists, who justified this move on neurophysiological grounds. Establishing the legitimacy and importance of computational explanation in neuroscience is one thing; shedding light on it is another. I raise some philosophical questions pertaining to computational explanation and outline some promising answers that (...) are being developed by a number of authors. (shrink)

With the turning of wilderness areas into wildlife parks and the returning of developed areas of land to the forces of nature, intermediate hybrid realms surface in which wild and managed nature become increasingly entangled. A partitioning of environmental philosophy into ecoethics and animal welfare ethics leaves these mixed territories relatively uncharted—the first dealing with wild (animals), the second with the welfare of captive or domestic animals. In this article, we explore an environmental philosophy that considers explicitly these mixed situations. (...) We examine a recent Dutch policy of introducing domesticated and semi-wild large herbivores in newly developed nature areas. Larger issues are at stake, such as the intertwinement of nature and culture, the dynamic character of de-domestication processes, and the relation between concepts of authenticity and the wild. We sketch a pluralistic, dynamic, and pragmatic environmental philosophy that is capable of dealing with the complicated ethicalproblems concerning creatures and land caught between domestication and the wild. (shrink)

According to pancomputationalism, everything is a computing system. In this paper, I distinguish between different varieties of pancomputationalism. I find that although some varieties are more plausible than others, only the strongest variety is relevant to the philosophy of mind, but only the most trivial varieties are true. As a side effect of this exercise, I offer a clarified distinction between computational modelling and computational explanation.<br><br>.

A common presupposition in the concepts literature is that concepts constitute a sin- gular natural kind. If, on the contrary, concepts split into more than one kind, this literature needs to be recast in terms of other kinds of mental representation. We offer two new arguments that concepts, in fact, divide into different kinds: (a) concepts split because different kinds of mental representation, processed independently, must be posited to explain different sets of relevant phenomena; (b) concepts split because different kinds (...) of mental representation, processed independently, must be posited to explain responses to different kinds of category. Whether these arguments are sound remains an open empirical question, to be resolved by future empirical and theoretical work. (shrink)

This article defends a modest version of the Physical Church-Turing thesis (CT). Following an established recent trend, I distinguish between what I call Mathematical CT—the thesis supported by the original arguments for CT—and Physical CT. I then distinguish between bold formulations of Physical CT, according to which any physical process—anything doable by a physical system—is computable by a Turing machine, and modest formulations, according to which any function that is computable by a physical system is computable by a Turing machine. (...) I argue that Bold Physical CT is not relevant to the epistemological concerns that motivate CT and hence not suitable as a physical analog of Mathematical CT. The correct physical analog of Mathematical CT is Modest Physical CT. I propose to explicate the notion of physical computability in terms of a usability constraint, according to which for a process to count as relevant to Physical CT, it must be usable by a finite observer to obtain the desired values of a function. Finally, I suggest that proposed counterexamples to Physical CT are still far from falsifying it because they have not been shown to satisfy the usability constraint. (shrink)

Background The aim was to explore how the clinical ethics committees in Norway have worked and functioned within mental health care and addiction treatment services. Methods Analysis of 256 annual reports from clinical ethics committees from 2003 to 2012 and a survey to clinicians who had used a clinical ethics committee. Results Dilemmas related to coercion, confidentiality, information, and patient autonomy dominated. The committees established only for psychiatric hospitals, had received more cases from mental health and addiction services than the (...) committees also serving somatic services. Many of the case discussions involved both somatic and mental health care, complicated legal issues as well as ethical dilemmas. Mental health care professionals that have used the clinical ethics committees evaluated the clinical ethics committees deliberation as useful. Conclusion Given the many difficult ethical dilemmas in mental health care ethics work need to be strengthened. The complexity of the cases requires varied and interdisciplinary competence and training among the clinical ethics committee members. (shrink)

Despite its significance in neuroscience and computation, McCulloch and Pitts's celebrated 1943 paper has received little historical and philosophical attention. In 1943 there already existed a lively community of biophysicists doing mathematical work on neural networks. What was novel in McCulloch and Pitts's paper was their use of logic and computation to understand neural, and thus mental, activity. McCulloch and Pitts's contributions included (i) a formalism whose refinement and generalization led to the notion of finite automata (an important formalism in (...) computability theory), (ii) a technique that inspired the notion of logic design (a fundamental part of modern computer design), (iii) the first use of computation to address the mind–body problem, and (iv) the first modern computational theory of mind and brain. (shrink)