Using path-breaking discoveries of cognitive science, Mark Johnson argues that humans are fundamentally imaginative moral animals, challenging the view that morality is simply a system of universal laws dictated by reason. According to the Western moral tradition, we make ethical decisions by applying universal laws to concrete situations. But Johnson shows how research in cognitive science undermines this view and reveals that imagination has an essential role in ethical deliberation. Expanding his innovative studies of human reason (...) in Metaphors We Live By and The Body in the Mind, Johnson provides the tools for more practical, realistic, and constructive moral reflection. (shrink)

An organizing model of ‘the self’ emerges from applying various kinds of brain injury to recent cognitive science and philosophical work on ‘the self’. This model unifies various contents and mechanisms central to current notions of the self. The article then highlights several criteria and aspects of this notion of self. Qualities of the right type and level of psychological significance delineate ‘the self’ as an organizing concept useful for recent philosophical work and cognitive science research.

Bayesian reverse-engineering is a research strategy for developing three-level explanations of behavior and cognition. Starting from a computational-level analysis of behavior and cognition as optimal probabilistic inference, Bayesian reverse-engineers apply numerous tweaks and heuristics to formulate testable hypotheses at the algorithmic and implementational levels. In so doing, they exploit recent technological advances in Bayesian artificial intelligence, machine learning, and statistics, but also consider established principles from cognitive psychology and neuroscience. Although these tweaks and heuristics are highly pragmatic in character (...) and are often deployed unsystematically, Bayesian reverse-engineering avoids several important worries that have been raised about the explanatory credentials of Bayesian cognitive science: the worry that the lower levels of analysis are being ignored altogether; the challenge that the mathematical models being developed are unfalsifiable; and the charge that the terms ‘optimal’ and ‘rational’ have lost their customary normative force. But while Bayesian reverse-engineering is therefore a viable and productive research strategy, it is also no fool-proof recipe for explanatory success. (shrink)

Over the last few decades, our knowledge of how the human mind and brain works increased dramatically. The field of cognitive science enables us to understand religious traditions, rituals, and visionary experiences in novel ways. This has implications for the study of the New Testament and early Christianity. How people in the ancient Mediterranean world remembered sayings and stories, what they experienced when participating in rituals, how they thought about magic and miracle, and how they felt and reasoned (...) about moral questions--all of that can be now better understood with the help of insights from cognitive science. István Czachesz argues that the field of New Testament Studies witnesses the beginning of a cognitive turn. He surveys relevant developments in the Cognitive Science of Religion and explores the field of cognitive and behavioral sciences in search of opportunities of gaining new insights about biblical materials. Czachesz presents some methodological tools and initial steps, together with a large number of examples of applying the cognitive approach to the New Testament and related ancient literature. (shrink)

Contemporary logicians have expanded upon the old notions of psychologism in logic and proposed new, weakened versions of it. Those weakened versions postulate that psychologistic logic does not have to inform about the ontology or metaphysics of reasoning. Instead, logic applied in cognitive science could serve as one of many paradigms for making empirical predictions about the observable process of human reasoning. The purpose of this article is to entertain this notion and answer the question: what properties (...) should a logical system formally representing actual human reasoning have? Based on the existing evidence from cognitive science and neuroscience we identified three potential candidates: context-sensitivity (satisfied for example by adaptive logics), content-sensitivity (satisfied by non-Fregean logics) and probabilism (satisfied for example by fuzzy logics). (shrink)

Cognitive science has always included multiple methodologies and theoretical commitments. The philosophy of cognitive science should embrace, or at least acknowledge, this diversity. Bechtel’s (2009a) proposed philosophy of cognitive science, however, applies only to representationalist and mechanist cognitive science, ignoring the substantial minority of dynamically oriented cognitive scientists. As an example of nonrepresentational, dynamical cognitive science, we describe strong anticipation as a model for circadian systems (Stepp & Turvey, 2009). (...) We then propose a philosophy of science appropriate to nonrepresentational, dynamical cognitive science. (shrink)

Given the recent call to strengthen collaboration between researchers and relevant practitioners, we consider participatory design as a way to advance Cognitive Science. Building on examples from the Learning Sciences and Human−Computer Interaction, we (a) explore what, why, who, when, and where researchers can collaborate with community members in Cognitive Science research; (b) examine the ways in which participatory‐design research can benefit the field; and (c) share ideas to incorporate participatory design into existing basic and (...) class='Hi'>applied research programs. Through this article, we hope to spark deeper discussions on how cognitive scientists can collaborate with community members to benefit both research and practice. (shrink)

is normative in the sense that it aims to make recommendations for improving human judgment; it aims to have a practical impact on morally and politically significant human decisions and actions; and it studies normative, rational judgment qua rational judgment. These nonstandard ways of understanding ACP as normative collectively suggest a new interpretation of the strong replacement thesis that does not call for replacing normative epistemic concepts, relations, and inquiries with descriptive, causal ones. Rather, it calls for recognizing that the (...) aims and normative inquiries of epistemology and normative psychology have become intermutual in nature. Key Words: Heuristics and biases • applied cognitive psychology • normative psychology • rationality • naturalized epistemology • Epistemics • Applied Naturalized Epistemology • strong replacement • strategic reliabilism • ameliorative psychology. (shrink)

When it comes to applying computational theory to the problem of phenomenal consciousness, cognitive scientists appear to face a dilemma. The only strategy that seems to be available is one that explains consciousness in terms of special kinds of computational processes. But such theories, while they dominate the field, have counter-intuitive consequences; in particular, they force one to accept that phenomenal experience is composed of information processing effects. For cognitive scientists, therefore, it seems to come down to a (...) choice between a counter-intuitive theory or no theory at all. We offer a way out of this dilemma. We argue that the computational theory of mind doesn't force cognitive scientists to explain consciousness in terms of computational processes, as there is an alternative strategy available: one that focuses on the representational vehicles that encode information in the brain. This alternative approach to consciousness allows us to do justice to the standard intuitions about phenomenal experience, yet remain within the confines of cognitive science. (shrink)

The requirement by the National Science Foundation (NSF) that research proposals include plans for “broader impact” activities to foster connections between Science, Technology, Engineering, and Math (STEM) research and service to society has been controversial since it was first introduced. A chief complaint is that the requirement diverts time and resources from the focus of research and toward activities for which researchers may not be well prepared. This paper describes the theoretical framework underlying a new strategy to pair (...) NSF-funded nano research centres with science museums in order to achieve greater success in the broader impact mission, and to transform the perceived burden of the requirement into an opportunity to provide enhanced value to the constituencies of the partnering organizations, as well as to the larger community. This partnership approach is presented as a model that also can be applied to NSF-funded research centres in other STEM fields, and to non-NSF-funded STEM research centres nevertheless looking to pursue broader impacts types of activities. The model also provides an opportunity to stretch the typical spectrum of broader impacts activities to include citizen engagement in science, technology and societal concerns. (shrink)

A recent issue of Time magazine (March 29, 1999) was devoted to the twenty greatest "thinkers" of the twentieth century -- scientists, inventors, and engineers. There is one interesting omission: there are no cognitive psychologists or cognitive scientists. (Cognitive science is an amalgam of cognitive, neuro, and developmental psychology, artificial intelligence, philosophy, linguistics, biology, and anthropology.) Freud is there, to be sure. But, while he was very influential, it is not even clear that he was (...) a scientist, let alone a cognitive scientist. There are those who regard Freud as somewhere between incompetent and a charlatan (see Glymour, 1988). In any case, though Freud's positive proposal for the mind's architecture -- namely, that it contains the unconscious -- seems correct as far as it goes, it does appear that all the details are wrong. For example: (1) there is a lot more to the mind than the mere unconscious; (2) it is doubtful that there is an id, ego, and superego; (3) most dreams may very likely be meaningless; and (4) human motivation, even unconscious motivation, is about a lot more than sex. In the end, because he was most interested in certain kinds of human mental malfunctioning, Freud is probably best thought of as a physician, a proponent and early explorer of human mental health; he was not an experimental cognitive psychologist. (shrink)

In this chapter, the author considers a line of thought in Arthur Danto in that regard about the bearing of cognitive science on our construal of changes in art. For Danto, a key to the issue of how to understand change in art forms and artistic identities is found in his fundamental notion that both the meaning and the style of a work of art are historically indexed; that is, they depend on historical conditions. Danto's skepticism about facile (...) changes in world views is born out of his theory that the history of such changes has certain logic, defined over basic or fundamental forms of action and thought; a view that applies as much to science as it does to art. The author's claim has been that recent research shows that, logical deductions aside, advances in cognitive science suggest that the language of art criticism will have to change. (shrink)

Take part... and you will bear witness to the semiotic nature of human animals. This event, commented by Charbel Niño El-Hani (Federal University of Bahia) and chaired by Elma Berisha (Lyceum Institute), is part of the activities of the 2022 International Open Seminar on Semiotics: a Tribute to John Deely on the Fifth Anniversary of His Passing, cooperatively organized by the Institute for Philosophical Studies of the Faculty of Arts and Humanities of the University of Coimbra, the Lyceum Institute, the (...) Deely Project, Saint Vincent College, the Iranian Society for Phenomenology at the Iranian Political Science Association, the International Association for Semiotics of Space and Time, the Institute for Scientific Information on Social Sciences of the Russian Academy of Sciences, the Semiotic Society of America, the American Maritain Association, the International Association for Semiotic Studies, the International Society for Biosemiotic Studies, the International Center for Semiotics and Intercultural Dialogue, Moscow State Academic University for the Humanities and the Mansarda Acesa with the support of the FCT - Foundation for Science and Technology, I.P., of the Ministry of Science, Technology and Higher Education of the Government of Portugal under the UID/FIL/00010/2020 project. *** Jamin Pelkey is Associate Professor and Program Director in the Department of Languages, Literatures and Cultures at Ryerson University, Toronto, where he is also an active faculty member in the Ryerson-York graduate program in Communication & Culture. He serves as Co-Editor of Semiotica, Vice President of the International Association for Cognitive Semiotics, and executive board member for the International Cognitive Linguistics Association, the International Society for Biosemiotic Studies, and the Semiotic Society of America. Jamin’s research explores semiotic dimensions of language evolution and embodied cognition. He is the recipient of the 2017 Mouton d’Or Award for best article in Semiotica and has edited or co-edited twelve collections in linguistics, anthropology, and semiotics, including Tropological Thought and Action (2022), Cognitive Semiotics (2019), Applied Brand Semiotics (2018), Archaeology of Concepts (2018), Sociohistorical Linguistics in Southeast Asia (2017), Virtual Identities (2016), and The Semiotics of Paradox (2015). His authored books include Dialectology as Dialectic (2011) and The Semiotics of X (2017). He is currently editing Bloomsbury Semiotics, a major reference work in four volumes. *** Charbel N. El-Hani is full professor in the Institute of Biology, Federal University of Bahia, Brazil. Coordinator of the LEFHBio - History, Philosophy, and Biology Teaching Lab and the INCT IN-TREE - National Institute of Science and Technology in Interdisciplinary and Transdisciplinary Studies in Ecology and Evolution. Between January 2020 and July 2021, he was visiting researcher at the CES - Centre for Social Studies of the University of Coimbra, Portugal. He works in the areas of philosophy of biology, ecology, ethnobiology and science education research. *** Homepage: https://www.uc.pt/fluc/uidief/io2s Auditorium: https://www.uc.pt/fluc/uidief/io2s/auditorium *** Technical support assured by Robert Junqueira. The cover image for the video was designed by Zahra Soltani. (shrink)

Cognitive science is held, not only by its practitioners, to offer something distinctively new in the philosophy of mind. This novelty is seen as the product of two factors. First, philosophy of mind takes itself to have well and truly jettisoned the ‘old paradigm’, the theory of the mind as embodied soul, easily and completely known through introspection but not amenable to scientific inquiry. This is replaced by the ‘new paradigm’, the theory of mind as neurally-instantiated computational mechanism, (...) relatively opaque to introspection and the proper subject of detailed empirical investigation. Second, in the constitutive disciplines of cognitive science we have for the first time the theoretical, experimental and technological resources to begin this investigation. My concern here is to show that, despite its scientific and philosophical sophistication, the new paradigm is in certain striking ways very similar to the old paradigm and that Wittgenstein's criticisms of the former apply to much of the latter. (shrink)

In this study, Don Ross explores the relationship of economics to other branches of behavioral science, asking, in the course of his analysis, under what interpretation economics is a sound empirical science. The book explores the relationships between economic theory and the theoretical foundations of related disciplines that are relevant to the day-to-day work of economics -- the cognitive and behavioral sciences. It asks whether the increasingly sophisticated techniques of microeconomic analysis have revealed any deep empirical regularities (...) -- whether technical improvement represents improvement in any other sense. Casting Daniel Dennett and Kenneth Binmore as its intellectual heroes, the book proposes a comprehensive model of economic theory that, Ross argues, does not supplant, but recovers the core neoclassical insights, and counters the caricaturish conception of neoclassicism so derided by advocates of behavioral or evolutionary economics. Because he approaches his topic from the viewpoint of the philosophy of science, Ross devotes one chapter to the philosophical theory and terminology on which his argument depends and another to related philosophical issues. Two chapters provide the theoretical background in economics, one covering developments in neoclassical microeconomics and the other treating behavioral and experimental economics and evolutionary game theory. The three chapters at the heart of the argument then apply theses from the philosophy of cognitive science to foundational problems for economic theory. In these chapters, economists will find a genuinely new way of thinking about the implications of cognitive science for economics, and cognitive scientists will find in economic behavior, a new testing site for the explanations of cognitive science. (shrink)

In recent years, the family of algorithms collected under the term ``deep learning'' has revolutionized artificial intelligence, enabling machines to reach human-like performances in many complex cognitive tasks. Although deep learning models are grounded in the connectionist paradigm, their recent advances were basically developed with engineering goals in mind. Despite of their applied focus, deep learning models eventually seem fruitful for cognitive purposes. This can be thought as a kind of biological exaptation, where a physiological structure becomes (...) applicable for a function different from that for which it was selected. In this paper, it will be argued that it is time for cognitive science to seriously come to terms with deep learning, and we try to spell out the reasons why this is the case. First, the path of the evolution of deep learning from the connectionist project is traced, demonstrating the remarkable continuity, and the differences as well. Then, it will be considered how deep learning models can be useful for many cognitive topics, especially those where it has achieved performance comparable to humans, from perception to language. It will be maintained that deep learning poses questions that cognitive sciences should try to answer. One of such questions is the reasons why deep convolutional models that are disembodied, inactive, unaware of context, and static, are by far the closest to the patterns of activation in the brain visual system. (shrink)

In this article we question the utility of the distinction between conceptual and nonconceptual content in cognitive science, and in particular, in the empirical study of visual perception. First, we individuate some difficulties in characterizing the notion of “concept” itself both in the philosophy of mind and cognitive science. Then we stress the heterogeneous nature of the notion of nonconceptual content and outline the complex and ambiguous relations that exist between the conceptual/nonconceptual duality and other pairs (...) of notions, such as top–down/bottom-up and modular/nonmodular. Finally we look in greater detail at the proposal developed by Jacob and Jeannerod (Ways of seeing. The scopes and limits of visual cognition. Oxford, UK: Oxford University Press, 2003 ), who apply the notion of nonconceptual content to empirical research on visual perception. After reconstructing their point of view on concepts, we try to reject their major arguments in support of the conceptual/nonconceptual distinction, i.e. the compositionality of thought and the fineness of grain of percepts. (shrink)

Purpose: This, the second part of a two-part paper, describes how the concerns of enactive cognitive science have been realized in actual research: methodological issues, proposed explanatory mechanisms and models, some of the potential as both a theoretical and applied science, and several of the major open research questions. Findings: Despite some skepticism about "mechanisms" in constructivist literature, enactive cognitive science attempts to develop cognitive formalisms and models. Such techniques as feedback loops, self-organization, (...) autocatalytic networks, and dynamical systems modeling are used to develop alternatives to cognitivist models. A number of technical similarities are starting to emerge in the different models being proposed. Research Implications: The need to resolve the interplay between autonomy and coupling with the environment suggests the need for further technical research. And the reintroduction of first-person concerns into cognitive science raises some questions of method, particularly with regard to the relationship between first-person experience, neuroscience, and methods of description, analysis, and explanation. Results to date suggest that insights from enactive cognitive science could lead to innovations in the design of artifacts. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Kennedy Institute of Ethics Journal 10.2 (2000) 175-188 [Access article in PDF] Scope Note 38 Bioethics Resources on the Web * Once described as an "enormous used book store with volumes stacked on shelves and tables and overflowing onto the floor" (Pool, Robert. 1994. Turning an Info-Glut into a Library. Science 266 (7 October): 20-22, p. 20), Internet resources now receive numerous levels of organization, from basic directory (...) listings to elaborate "links" (cross-references to other Internet documents) that flash and glow in the dark. In many ways, the Internet functions as a direct extension of the traditional library. Following linked references across various sites is an electronic version of browsing library stacks, and the serendipitous discoveries made while "surfing the Net" recall the wonders of physically going "book-to-book." Although many of the Internet's best aspects augment library strengths by eliminating physical distance from sources, Net resources pose unique problems for researchers. It is not always clear who is responsible for the content of Web documents, when the document was produced, or how often (if ever) it is updated. Internet resource tools, then, must enable researchers to identify appropriate resources and to evaluate what they find when they get there. Web Research as Taking "Snapshots" Given the Internet's visual nature and fluid content, the process of conducting research on the Web has been likened to taking an informal picture of information on a specific date at a particular time. This metaphor also conveys the "zoom-in" aspect of searching through Web pages by going from general to specific categories. In the first section of this Scope Note, National Reference Center for Bioethics Literature (NRCBL) staff present a snapshot of bioethics resources taken during the spring months of 2000. Entries are divided into the categories of directories, electronic journals, full-text documents, news/current awareness, and teaching resources. In the two subsequent sections, this series of categories is repeated for entries on a specific topic within bioethics-genetics-and again for general search and evaluation tools. Where a Web site may contain pages applicable [End Page 175] to more than one category, multiple entries are made for that site with appropriate information for each category.Much as telecommunication advances have strengthened the relationship of patients and providers as partners, the dynamic nature of the Internet acknowledges that the researcher functions as a librarian whenever accessing the Web. It is our hope that BIOETHICSLINE and the other NRCBL databases not only will enable researchers to search the Web more efficiently, but also will help them to evaluate what they find when they get there. Bioethicsline on the Web: An International Plan in Progress Once only available through libraries, the U.S. National Library of Medicine (NLM), the funding agency for the ongoing development of the BIOETHICS LINE® database from the Kennedy Institute, has provided free Web access to that database of 63,000 citations since September 1998 through Internet Grateful Med. Plans are now underway to eliminate such specialty databases and incorporate all citations into PubMed (for journal articles) or LOCATORplus (for book-like materials and chapters in books). Both of these databases are likewise available at no cost on the Web. In the transition to PubMed and LOCATORplus some features of BIOETHICSLINE that presently are available may be lost. Researchers are encouraged to contact the National Reference Center for Bioethics Literature with search requests or for search strategy assistance with either the current or the future system ([email protected]).The inclusion of bioethics citations in PubMed and LOCATORplus will have several advantages. First, unique keywords from the Bioethics Thesaurus will be considered for inclusion in Medical Subject Headings (MeSH), the indexing vocabulary for PubMed and LOCATORplus, thereby enhancing retrieval of relevant clinical literature by offering more precise terminology covering ethical issues. Second, it will be easier to identify foreign-language materials, which are not currently included in the scope of BIOETHICSLINE. Third, the updating schedule will become more frequent. On the other hand, there may be some loss of searching precision because certain specialized features... (shrink)

This study is concerned with processes for discovering new theories in science. It considers a computational approach to scientific discovery, as applied to the discovery of theories in cognitive science. The approach combines two ideas. First, a process-based scientific theory can be represented as a computer program. Second, an evolutionary computational method, genetic programming, allows computer programs to be improved through a process of computational trialand-error. Putting these two ideas together leads to a system that can (...) automatically generate and improve scientific theories. The application of this method to the discovery of theories in cognitive science is examined. Theories are built up from primitive operators. These are contained in a theory language that defines the space of possible theories. An example of a theory generated by this method is described. These results support the idea that scientific discovery can be achieved through a heuristic search process, even for theories involving a sequence of steps. However, this computational approach to scientific discovery does not eliminate the need for human input. Human judgment is needed to make reasonable prior assumptions about the characteristics of operators used in the theory generation process, and to interpret and provide context for the computationally generated theories. (shrink)

Evolutionary thinking has expanded in the last decades, spreading from its traditional stronghold - the explanation of speciation and adaptation in Biology - to new domains including the human sciences. The essays in this collection attest to the illuminating power of evolutionary thinking when applied to the understanding of the human mind. The contributors to Cognition, Evolution and Rationality use an evolutionary standpoint to approach the nature of the human mind, including both cognitive and behavioral functions. Cognitive (...) science is by its nature an interdisciplinary subject and the essays use a variety of disciplines including the Philosophy of Science, the Philosophy of Mind, Game Theory, Robotics and Computational Neuroanatomy to investigate the workings of the mind. The topics covered by the essays range from general methodological issues to long-standing philosophical problems such as how rational human beings actually are. This book will be of interest across a number of fields, including philosophy, evolutionary theory and cognitive science. (shrink)

Evolutionary thinking has expanded in the last decades, spreading from its traditional stronghold – the explanation of speciation and adaptation in biology - to new domains. Fascinating pieces of work, the essays in this collection attest to the illuminating power of evolutionary thinking when applied to the understanding of the human mind. The contributors to_ Cognition, Evolution and Rationality_ use an evolutionary standpoint to approach the nature of the human mind, including both cognitive and behavioural functions. Cognitive (...) science is by its nature an interdisciplinary subject and the essays in this collection investigate the workings of the mind through a variety of disciplines including the philosophy of science, the philosophy of mind, game theory, robotics and computational neuroanatomy. Topics covered range from general methodological issues to long-standing philosophical problems such as how rational human beings actually are. With contributions from leading experts in the areas involved, this book will be of interest across a number of fields, including philosophy, evolutionary theory and cognitive science. (shrink)

Evolutionary thinking has expanded in the last decades, spreading from its traditional stronghold – the explanation of speciation and adaptation in biology - to new domains. Fascinating pieces of work, the essays in this collection attest to the illuminating power of evolutionary thinking when applied to the understanding of the human mind. The contributors to_ Cognition, Evolution and Rationality_ use an evolutionary standpoint to approach the nature of the human mind, including both cognitive and behavioural functions. Cognitive (...) science is by its nature an interdisciplinary subject and the essays in this collection investigate the workings of the mind through a variety of disciplines including the philosophy of science, the philosophy of mind, game theory, robotics and computational neuroanatomy. Topics covered range from general methodological issues to long-standing philosophical problems such as how rational human beings actually are. With contributions from leading experts in the areas involved, this book will be of interest across a number of fields, including philosophy, evolutionary theory and cognitive science. (shrink)

The Cognitive Science of Religion (CSR) holds that religion emerges from human cognition and its intuitions. Hence, it describes religion as a ‘natural’ belief in ‘supernatural agents’. Traditional theology also maintained that there is an ‘innate’ or ‘implanted’ knowledge of God or gods. It will be argued that CSR and theology can be related, yet not in a straightforward manner. After sketching out in what sense CSR calls religion ‘natural’ and how it describes ‘supernatural agents’, this article explores (...) some examples of the traditional theological doctrine of an ‘implanted’ knowledge of God. It shows that the reliability of such an ‘implanted’ knowledge of God was disputed among theologians and, even if it was affirmed, had an ambiguous position in theology. This also applies to CSR if it is to be related to the traditional theological doctrine. There are illuminating convergences between CSR and theology but also considerable divergences. Both, however, prove significant for theology. (shrink)

Endowing artificial systems with explanatory capacities about the reasons guiding their decisions, represents a crucial challenge and research objective in the current fields of Artificial Intelligence (AI) and Computational Cognitive Science [Langley et al., 2017]. Current mainstream AI systems, in fact, despite the enormous progresses reached in specific tasks, mostly fail to provide a transparent account of the reasons determining their behavior (both in cases of a successful or unsuccessful output). This is due to the fact that the (...) classical problem of opacity in artificial neural networks (ANNs) explodes with the adoption of current Deep Learning techniques [LeCun, Bengio, Hinton, 2015]. In this paper we argue that the explanatory deficit of such techniques represents an important problem, that limits their adoption in the cognitive modelling and computational cognitive science arena. In particular we will show how the current attempts of providing explanations of the deep nets behaviour (see e.g. [Ritter et al. 2017] are not satisfactory. As a possibile way out to this problem, we present two different research strategies. The first strategy aims at dealing with the opacity problem by providing a more abstract interpretation of neural mechanisms and representations. This approach is adopted, for example, by the biologically inspired SPAUN architecture [Eliasmith et al., 2012] and by other proposals suggesting, for example, the interpretation of neural networks in terms of the Conceptual Spaces framework [Gärdenfors 2000, Lieto, Chella and Frixione, 2017]. All such proposals presuppose that the neural level of representation can be considered somehow irrelevant for attacking the problem of explanation [Lieto, Lebiere and Oltramari, 2017]. In our opinion, pursuing this research direction can still preserve the use of deep learning techniques in artificial cognitive models provided that novel and additional results in terms of “transparency” are obtained. The second strategy is somehow at odds with respect to the previous one and tries to address the explanatory issue by avoiding to directly solve the “opacity” problem. In this case, the idea is that one of resorting to pre-compiled plausible explanatory models of the word used in combination with deep-nets (see e.g. [Augello et al. 2017]). We argue that this research agenda, even if does not directly fits the explanatory needs of Computational Cognitive Science, can still be useful to provide results in the area of applied AI aiming at shedding light on the models of interaction between low level and high level tasks (e.g. between perceptual categorization and explanantion) in artificial systems. (shrink)

Contemporary architecture is increasingly grounded in science and mathematics. Architectural discourse has shifted radically from the sometimes disorienting Derridean deconstruction, to engaging scientific terms such as fractals, chaos, complexity, nonlinearity, and evolving systems. That's where the architectural action is -- at least for cutting-edge architects and thinkers -- and every practicing architect and student needs to become conversant with these terms and know what they mean. Unfortunately, the vast majority of architecture faculty are unprepared to explain them to students, (...) not having had a scientific education themselves. Here is an architecture book by an architect/scientist, just in time to help architects in the new millennium. Alexander discusses many of the scientific terms arising in cutting-edge architecture, and explains them to those who don't have scientific training or advanced mathematical knowledge. We find discussions of the evolution of forms; the importance of process in design; iteration; genetic algorithms; sequences of transformations; different levels of scale (i.e. fractals); etc. They are explained here by an architect who is also a scientist, because he wants to change the way architects think and build. Alexander is not merely popularizing other scientists' results and making them accessible to architects: he is in fact presenting new and original scientific work that ties many of these concepts together in a way that will be useful to architects. (shrink)

Dynamical systems theory (DST) is a branch of mathematics that assesses abstract or physical systems that change over time. It has a quantitative part (mathematical equations) and a related qualitative part (plotting equations in a state space). Nonlinear dynamical systems theory applies the same tools in research involving phenomena such as chaos and hysteresis. These approaches have provided different ways of investigating and understanding cognitive systems in cognitive science and neuroscience. The ‘dynamical hypothesis’ claims that cognition is (...) and can be understood as dynamical systems. Common consequences for such an approach include rejecting understanding cognition as information processing in nature, including eschewing explanatory roles for computation or representation. Contemporary applications of DST include mouse‐tracking studies in cognitive science and nonrepresentational perspectives on motor control in neuroscience. Such work has philosophical implications concerning the boundaries of cognition, explanation, and representations. DST offers powerful methodology and theories that raise many topics of philosophical significance. (shrink)

Philosophers of music (and also music theorists) have recognized for a long time that research in the sciences, especially psychology, might have import for their own work. (Langer 1941 and Meyer 1956 are good examples.) However, while scientists had been interested in music as a subject of research (e.g., Helmholtz 1912, Seashore 1938), the discipline known as psychology of music, or more broadly cognitive science of music, came into its own only around 1980 with the publication of several (...) landmark works. Among the most important of these were The Psychol- ogy of Music (1980), a collection of papers edited by the psychologist Diana Deutsch, and A Generative Theory of Tonal Music (1983) by music theorist and composer Fred Lerdahl and linguist Ray Jackendoff. These works and others made possible the first attempts to apply scientific research to philosophical issues concerning music (e.g., Raffman 1993, DeBellis 1995). Since the 1980’s, of course, a great deal of research has been done in cognitive science, philosophy, and music. For philosophers, there are perhaps three topics with respect to which findings in the cognitive sciences are most likely to be germane—the nature of musical understanding, the role of emotions or feelings in music, and the evaluation of musical works. This brief overview will describe some of the scientific research that has been done on these topics, and then indicate how it might be philosophically significant. (shrink)

This chapter argues that empirical findings in cognitive science can play a significant evidential role in an optimal methodology for metaphysics. It does not propose any radical metaphysical methodology or any wholesale replacement of traditional methods. Rather, it offers a supplement to traditional methods. The chapter proposes a general template (or two) for metaphysical methodology under which cognitive scientific considerations might become routine or commonplace factors in realist metaphysics, not just isolated or occasional factors. This template is (...) applied to four problems in metaphysics: the passage of time, moral value, natural kinds, and theism. (shrink)

While pointing out important features of cognitive science, Núñez et al. (2019) also argue prematurely for the end of cognitive science. I discuss problematic analytic features in the application of hierarchical cluster analysis to journal citation data. On the conceptual side, I argue that the research programs framework of Lakatos may not be so wisely applied to cognitive science. Further, the diversity of structure in cognitive science departments may represent a rational, (...) strategic adaptation by an interdisciplinary department to cognitive and other resource challenges rather than the sign of low progress on a discipline. (shrink)

In introductory chemistry courses, should students be encouraged to solve problems by reasoning based on conceptual understanding or by applying memorized facts and algorithms? Cognitive scientists have recently studied this issue with the assistance of new technologies. In the current consensus model for cognition, during problem solving the brain relies on “working memory” to sequentially process small elements of knowledge. Working memory is able to hold and manipulate virtually all elements that can be recalled “with automaticity” from long-term memory, (...) but very few elements that are not recallable. As one consequence, students can reliably solve well-structured science problems only if most of the facts and algorithms needed to solve the problem have previously been well memorized. To achieve automaticity in recall, facts and procedures must be committed to memory and then tagged with associations to other knowledge in the brain’s conceptual frameworks. Accommodation can be assisted by guided inquiry. Articles citing methods that can assist students in the development of automaticity are listed, and implications for chemistry instruction are discussed. (shrink)

All normal human beings alive in the last fifty thousand years appear to have possessed, in Mark Turner's phrase, 'impressively atful minds'. Cognitively modern minds produced a staggering list of behavioural singularities - science, religion, mathematics, language, advanced tool use, decorative dress, dance, culture, art - that seems to indicate a mysterious and unexplained discontinuity between us and all other living things. This brute fact gives rise to some tantalizing questions: How did the artful mind emerge? What are the (...) basic mental operations that make art possible for us now, and how do they operate? These are the questions that occupy the distinguished contributors to this book, which emerged from a year-long Getty-funded research project hosted by the Centre for Advanced Study in the Behavioural Sciences at Stanford. (shrink)

Since Darwin, the idea of psychological continuity between humans and other animals has dominated theory and research in investigating the minds of other species. Indeed, the field of comparative psychology was founded on two assumptions. First, it was assumed that introspection could provide humans with reliable knowledge about the causal connection between specific mental states and specific behaviors. Second, it was assumed that in those cases in which other species exhibited behaviors similar to our own, similar psychological causes were at (...) work. In this paper. we show how this argument by analogy is flowed with respect to the case of second-order mental states. As a test case, we focus on the question of how other species conceive of visual attention, and in particular whether chimpanzees interpret seeing as a mentalistic event involving internal states of perception, attention, and belief. We conclude that chimpanzees do not reason about seeing in this manner, and indeed, there is considerable reason to suppose that they do not harbor representations of mental states in general. We propose a reinterpretation model in which the majority of the rich social behaviors that humans and other primates share in common emerged long before the human lineage evolved the psychological means of interpreting those behaviors in mentalistic terms. Although humans, chimpanzees, and most other species may be said to possess mental states, humans alone may have evolved a cognitive specialization for reasoning about such states. (shrink)

Se presentan los resultados de una investigación cualitativa hermenéutica sobre la lingüística cognitiva y la lingüística aplicada, relacionadas con otras ciencias en un contexto específico de la comunidad científica especializada. Desde una visión integral y holística de las ciencias biomédicas y humanas, asimismo, se estudian los lenguajes técnico-científicos de la ciencia y de la tecnología para facilitar la interrelación cognitiva entre las diferentes disciplinas. Este estudio permite crear capacidades para evaluar el acervo léxico en contexto, útil para la transmisión y (...) la transformación del conocimiento en un lenguaje propio acorde a la exigencia del método científico. El objetivo consistió en indagar sobre la relación de la unidad léxica con su nexo cognitivo a una unidad terminológica de uso cotidiano en la información y en la comunicación académica de la práctica médico-legal forense. Los resultados establecen diferencia y precisan cierta comprensión de la significación de unidades léxicas ambiguas de mayor relevancia y frecuencia, utilizadas en este ámbito del conocimiento, en cuatro categorías de análisis; según las características propias de la disciplina en dialogo con otras ciencias en contexto. Se evidencia la importancia de educar durante el proceso enseñanza-aprendizaje significativo de la disciplina en contexto, desde la metalingüística del objeto de estudio dimensionado y relacionado con otros objetos de estudio, que permita el proceso cognitivo del lenguaje técnico-científico transdisciplinar, la apropiación social y la circulación del conocimiento aplicado a las prácticas médico legales integrales en relación entre la Psicofarmacología, la Psiquiatría, la Antropología y la Psicología, con las ciencias biomédicas y humanas. In this work results of a qualitive hermeneutic research about a cognitive and applied linguistic related to other sciences in an specific context of a given scientific community were presented, a technical and scientific language regarding science and technology was pointed out from an integral vision in order to facilitate cognitive relationship among different disciplines. This study also allows to create capacities in order to assess vocabulary in context, useful for the transmission and transformation of knowledge according to a scientific method. The objective was directed to know about the relationship between the lexical unit and its meaning in a given communicative context and in the academic communication of a medical - legal forensic practice. The importance of educate during the teaching learning process is also mentioned in this research and the main objective is to develop an assertive medical practice among Psychopharmacology, psychiatric, anthropology and psychology with biomedical and human sciences. (shrink)

An article by Alexandra Kirsch accepted for publication in Cognitive Processing occasioned debate among reviewers about broad methodological issues in cognitive science. One of these issues is the proper place of Popperian falsificationism in the interdisciplinary cluster. Another is the tension between abstract models and theories that apply to wide classes of cognitive systems, and models of more restricted scope intended to predict specifically human patterns of thought and behavior. The lead editorial in a Commentary debate (...) invited by the journal’s editors considers these issues from the perspective of a pragmatist philosophy of science inspired by Herbert Simon’s classic, MIT Press, Cambridge, 1969) reflections on the blurring of the distinction between science and engineering in cognitive science. (shrink)

We lay groundwork for applying ethnographic methods in philosophy of science. We frame our analysis in terms of two tasks: to identify the benefits of an ethnographic approach in philosophy of science and to structure an ethnographic approach for philosophical investigation best adapted to provide information relevant to philosophical interests and epistemic values. To this end, we advocate for a purpose-guided form of cognitive ethnography that mediates between the explanatory and normative interests of philosophy of science, (...) while maintaining openness and independence when framing such an investigation to achieve robust unbiased results. (shrink)

Many current programs for cognitive science sail under the banner of “embodied cognition.” These programs typically seek to distance themselves from standard cognitive science. The present proposal for a conception of embodied cognition is less radical than most, indeed, quite compatible with many versions of traditional cognitive science. Its rationale is based on two elements, each of which is theoretically plausible and empirically well-founded. The first element invokes the idea of “bodily formats,” i.e., representational (...) codes primarily utilized in forming interoceptive or directive representations of one’s bodily states and activities. The second element appeals to wideranging evidence that the brain reuses or redeploys cognitive processes having different original uses. When the redeployment theme is applied to bodily formats of representation, they jointly provide for the possibility that body-coded cognition is a very pervasive sector of cognition. (shrink)

Democracy has been a flawed hegemony since the fall of communism. Its flexibility, its commitment to equality of representation, and its recognition of the legitimacy of opposition politics are all positive features for political institutions. But democracy has many deficiencies: it is all too easily held hostage by powerful interests; it often fails to advance social justice; and it does not cope well with a number of features of the political landscape, such as political identities, boundary disputes, and environmental crises. (...) Although democracy is valuable it fits uneasily with other political values and is in many respects less than equal to the demands it confronts. In this volume prominent political theorists and social scientists present original discussions of such central issues. Democracy's Values deals with the nature and value of democracy, particularly the tensions between it and such goods as justice, equality, efficiency, and freedom. (shrink)

This paper considers the question of whether the influential distinction between levels of explanation introduced by David Marr can be used as a general framework for contemplating levels of explanation in cognitive sciences. Marr introduced three levels at which we can explain cognitive processes: the computational, algorithmic, and implementational levels. Some argue that Marr’s levels of explanation can only be applied to modular cognitive systems. However, since many psychological processes are non-modular, it seems that Marr’s levels (...) of explanation cannot explain such psychological processes. To show that the latter claim is not convincing, the paper draws upon an influential paradigm from cognitive sciences that is based on the principle of free energy. Based on this paradigm, the paper argues that even non-modular psychological processes can be computationally analyzed and algorithmically implemented. The conclusion of the paper is that, at least under the assumption that the func- tion of the mind is to minimize free energy, Marr’s levels of explanation can be successfully used as a general framework for understanding psychological processes at different levels of description. (shrink)

This article reviews a number of different areas in the foundations of formal learning theory. After outlining the general framework for formal models of learning, the Bayesian approach to learning is summarized. This leads to a discussion of Solomonoff's Universal Prior Distribution for Bayesian learning. Gold's model of identification in the limit is also outlined. We next discuss a number of aspects of learning theory raised in contributed papers, related to both computational and representational complexity. The article concludes with a (...) description of how semi-supervised learning can be applied to the study of cognitive learning models. Throughout this overview, the specific points raised by our contributing authors are connected to the models and methods under review. (shrink)

Much of Alvin Plantinga’s Where the Conflict Really Lies will contain few surprises for those who have been following his work over the past decades. This —I hasten to add — is nothing against the book. The fact alone that his ideas on various topics, which have appeared scattered throughout the literature, are now actualized, applied to the debate about the conflict between science and religion, and organized into an overarching argument with a single focus makes this book (...) worthwhile. Moreover, I see this book making significant progress on two opposite ends of the spectrum of views about science and religion. On the one end, we find the so-called new atheists and other conflict-mongers. Compared to the overheated rhetoric that oozes from their writings, this book is a breath of fresh air. Plantinga cuts right to the chase and soberly exposes the bare bones of the new atheists’ arguments. It immediately becomes clear how embarrassingly bare these bones really are. On the other end of the spectrum are theologians and scientists who envisage harmony and concord between science and religion. (shrink)

If the Trade Descriptions Act were applied to academic labels, cognitive scientists would be in trouble. For what they do is much wider than the name suggests—and wider, too, than most philosophers assume. They give you more for your money than you may have expected.

This chapter argues that empirical findings in cognitive science can play a significant evidential role in an optimal methodology for metaphysics. It does not propose any radical metaphysical methodology or any wholesale replacement of traditional methods. Rather, it offers a supplement to traditional methods. The chapter proposes a general template for metaphysical methodology under which cognitive scientific considerations might become routine or commonplace factors in realist metaphysics, not just isolated or occasional factors. This template is applied (...) to four problems in metaphysics: the passage of time, moral value, natural kinds, and theism. (shrink)

Applying the concepts of dynamical systems theory to explain cognitive phenomena is still a fairly recent trend in cognitive science and its potential and consequences are not nearly mapped out. A decade ago, dynamical approaches were introduced as a paradigm shift in cognitive science and in this paper I concentrate on how to substantiate this claim. After having considered and rejected the possibility that continuous time is the crucial factor, I present Kelso’s model of a (...) near-cognitive phenomenon which invokes self-organization as the guiding principle. Then, the explanatory strategy implicit in this approach is explicated and its underlying assumption presented. Finally, I discuss how we should characterize this explanatory framework using the notion of emergence. (shrink)

Are humans rational? Various experiments performed over the last several decades have been interpreted as showing that humans are irrational we make significant and consistent errors in logical reasoning, probabilistic reasoning, similarity judgements, and risk-assessment, to name a few areas. But can these experiments establish human irrationality, or is it a conceptual truth that humans must be rational, as various philosophers have argued? In this book, Edward Stein offers a clear critical account of this debate about rationality in philosophy and (...) cognitive science. He discusses concepts of rationality - the pictures of rationality that the debate centres on - and assesses the empirical evidence used to argue that humans are irrational. He concludes that the question of human rationality must be answered not conceptually but empirically, using the full resources of an advanced cognitive science. Furthermore, he extends this conclusion to argue that empirical considerations are also relevant to the theory of knowedge - in other words, that epistemology should be naturalized. from the reviews: 'Stein has done a great service in bringing together all of the important arguments in the human rationality debate and providing a measured critical assessment of them.... This will be an important book and is essential reading for epistemologists, philosophers of mind, and cognitive and evolutionary psychologists.' Choice 'very considerable value... for professionals' Times Higher Education Supplement. (shrink)

Marr’s seminal distinction between computational, algorithmic, and implementational levels of analysis has inspired research in cognitive science for more than 30 years. According to a widely-used paradigm, the modelling of cognitive processes should mainly operate on the computational level and be targeted at the idealised competence, rather than the actual performance of cognisers in a specific domain. In this paper, we explore how this paradigm can be adopted and revised to understand mathematical problem solving. The computational-level approach (...) applies methods from computational complexity theory and focuses on optimal strategies for completing cognitive tasks. However, human cognitive capacities in mathematical problem solving are essentially characterised by processes that are computationally sub-optimal, because they initially add to the computational complexity of the solutions. Yet, these solutions can be optimal for human cognisers given the acquisition and enactment of mathematical practices. Here we present diagrams and the spatial manipulation of symbols as two examples of problem solving strategies that can be computationally sub-optimal but humanly optimal. These aspects need to be taken into account when analysing competence in mathematical problem solving. Empirically informed considerations on enculturation can help identify, explore, and model the cognitive processes involved in problem solving tasks. The enculturation account of mathematical problem solving strongly suggests that computational-level analyses need to be complemented by considerations on the algorithmic and implementational levels. The emerging research strategy can help develop algorithms that model what we call enculturated cognitive optimality in an empirically plausible and ecologically valid way. (shrink)

This book develops a new approach to naturalizing phenomenology. The author proposes to integrate phenomenology with the mechanistic framework that offers new methodological perspectives for studying complex mental phenomena such as consciousness. While mechanistic explanatory models are widely applied in cognitive science, their approach to describing subjective phenomena is limited. The author argues that phenomenology can fill this gap. He proposes two novel ways of integrating phenomenology and mechanism. First, he presents a new reading of phenomenological analyses (...) as functional analyses. Such functional phenomenology delivers a functional sketch of a target system and provides constraints on the space of possible mechanisms. Second, he develops the neurophenomenological approach in the direction of dynamic modeling of experience. He shows that neurophenomenology can deliver dynamical constraints on mechanistic models and thus inform the search for an underlying mechanism. (shrink)

This book is intended as an introduction to the breadth of current research in cognitive science, with the research at Lund University Cognitive Science as our sample. The result is a smorgasbord for readers with some background in the neighbouring disciplines. Through the chapters we will follow some of the important cross-disciplinary issues in cognitive science. One is how the external world is represented, from cognitive maps in rats, to drawings made to enhance (...) communication, or the organization of semantic knowledge. Another is to what extent such representations really are used: the world is often its own best model in areas from robotics to choice, and several chapters illustrate that even communication is firmly situated in and constrained by its surroundings. In addition, many chapters emphasize the essentially dynamic relationship between mind and environment, in areas from development to interaction and learning. A third thread is how research concerning other animals= cognitive capacities, from pigeons to chimpanzees, has inspired research on human cognition, and how this comparative approach can be made to incorporate also non-animate fellow beings, such as robots and virtual characters. In sum, the book contains most of the areas we think are important in cognitive science today, and we hope that it will be of use for beginning researchers and advanced students in the area. Its production is part of the celebrations of Lund University Cognitive Science’s 20th anniversary. Our group hosts researchers with backgrounds in psychology, philosophy, computer science, linguistics, computational neuroscience, education, etc., and all of us have a multidisciplinary education. We encourage you to visit our web pages at www.lucs.lu.se to learn more about the activities of the group. (shrink)