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)

The Cognitive Basis of Science concerns the question 'What makes science possible?' Specifically, what features of the human mind and of human culture and cognitive development permit and facilitate the conduct of science? The essays in this volume address these questions, which are inherently interdisciplinary, requiring co-operation between philosophers, psychologists, and others in the social and cognitive sciences. They concern the cognitive, social, and motivational underpinnings of scientific reasoning in children and lay persons (...) as well as in professional scientists. The editors' introduction lays out the background to the debates, and the volume includes a consolidated bibliography that will be a valuable reference resource for all those interested in this area. The volume will be of great importance to all researchers and students interested in the philosophy or psychology of scientific reasoning, as well as those, more generally, who are interested in the nature of the human mind. (shrink)

What follows is a discussion of three sets of experimental results that deal with various aspects of universal biological understanding among American and Maya children and adults. The first set of experiments shows that by the age of four-to-five years urban American and Yukatek Maya children employ a concept of innate species potential, or underlying essence, as an inferential framework for understanding the affiliation of an organism to a biological species, and for projecting known and unknown biological properties to organisms (...) in the face of uncertainty. The second set of experiments shows that the youngest Maya children do not have an anthropocentric understanding of the biological world. Children do not initially need to reason about non-human living kinds by analogy to human kinds. The third set of results show that the same taxonomic rank is cognitively preferred for biological induction in two diverse populations: people raised in the Mid-western USA and Itza' Maya of the Lowland Meso-american rainforest. This is the generic species  the level of oak and robin. These findings cannot be explained by domain-general models of similarity because such models cannot account for why both cultures prefer species-like groups in making inferences about the biological world, although Americans have relatively little actual knowledge or experience at this level. The implication from these experiments is that folk biology may well represent an evolutionary design: universal taxonomic structures, centred on essence-based generic species, are arguably routine products of our ‘habits of mind,' which may be in part naturally selected to grasp relevant and recurrent ‘habits of the world.' The science of biology is built upon these domain-specific cognitive universals: folk biology sets initial cognitive constraints on the development of any possible macro-biological theory, including the initial development of evolutionary theory. Nevertheless, the conditions of relevance under which science operates diverge from those pertinent to folk biology. For natural science, the motivating idea is to understand nature as it is ‘in itself,' independently of the human observer. From this standpoint, the species-concept, like taxonomy and teleology, may arguably be allowed to survive in science as a regulative principle that enables the mind to readily establish stable contact with the surrounding environment, rather than as an epistemic concept that guides the search for truth. (shrink)

The main aim of the paper is to defend (the possibility of) reductionism in the neuroscience--cognitive science case. This is done in three steps. First an ontological and methodological picture is presented which acknowledges the level structure of reality but claims that because every higher level is evolutionarily preceded by the lower level(s), reductionism is as viable strategy as anything else. Secondly, a direct challenge to the two popular doctrines, namely emergentism and supervenience, is presented, the point being (...) that we don't have clear conception of what "emerging" is or how specifically to explain what something's "depending on" something or "determining" something is (in the case of supervenience). In the third part the so-called modified structuralist framework (from the structuralist philosophy of science) is proposed as an alternative model to the old Nagelian one, a model which can serve reductionistic purposes well because it admits many kinds of reduction, from approximate to very strict ones. (shrink)

Dual process models of higher cognition have become very influential in the cognitive sciences. The popular Default-Interventionist model has long favoured a serial view on the interaction between...

The domain of numbers provides a paradigmatic case for investigating interactions of culture, language, and cognition: Numerical competencies are considered a core domain of knowledge, and yet the development of specifically human abilities presupposes cultural and linguistic input by way of counting sequences. These sequences constitute systems with distinct structural properties, the cross-linguistic variability of which has implications for number representation and processing. Such representational effects are scrutinized for two types of verbal numeration systems—general and object-specific ones—that were in parallel (...) use in several Oceanic languages. The analysis indicates that the object-specific systems outperform the general systems with respect to counting and mental arithmetic, largely due to their regular and more compact representation. What these findings reveal on cognitive diversity, how the conjectures involved speak to more general issues in cognitive science, and how the approach taken here might help to bridge the gap between anthropology and other cognitive sciences is discussed in the conclusion. (shrink)

The cognitive science of religion is an emerging field of cognitive science that gathers insights from different disciplines to explain how humans acquire and transmit religious beliefs. For the CSR scholars, the human mental tools have specific biases that make them susceptible to acceptance and transmission of religious beliefs. This article examines the characteristics of these biases and how they work, and shows that although our innate cognitive tendencies make our minds generally receptive to religion, (...) they do not explain the emergence and endurance of specific religious beliefs in a particular culture. We will also show that although advocates of CSR study religion as a 'natural' phenomenon, and seek to discover the natural causes of the formation, acceptance, transmission and prevalence of religious beliefs, their efforts do not lead to decrease the validity of religious beliefs and rejection of 'non-natural' explanations of religious beliefs. (shrink)

This essay in the "anthropology of science" is about how cognition constrains culture in producing science. The example is folk biology, whose cultural recurrence issues from the very same domain-specific cognitive universals that provide the historical backbone of systematic biology. Humans everywhere think about plants and animals in highly structured ways. People have similar folk-biological taxonomies composed of essence-based species-like groups and the ranking of species into lower- and higher-order groups. Such taxonomies are not as arbitrary in (...) structure and content, nor as variable across cultures, as the assembly of entities into cosmologies, materials or social groups. (shrink)

Cognitive science is an interdisciplinary research endeavor focusing on human cognitive phenomena such as memory, language use, and reasoning. It emerged in the second half of the 20th century and is charting new directions at the beginning of the 21st century. This chapter begins by identifying the disciplines that contribute to cognitive science and reviewing the history of the interdisciplinary engagements that characterize it. The second section examines the role that mechanistic explanation plays in (...) class='Hi'>cognitive science, while the third focuses on the importance of mental representations in specifically cognitive explanations. The fourth section considers the interdisciplinary nature of cognitive science and explores how multiple disciplines can contribute to explanations that exceed what any single discipline might accomplish. The conclusion sketches some recent developments in cognitive science and their implications for philosophers. (shrink)

The paper frames interdisciplinary research as creating complex, distributed cognitive-cultural systems. It introduces and elaborates on the method of cognitive ethnography as a primary means for investigating interdisciplinary cognitive and learning practices in situ. The analysis draws from findings of nearly 20 years of investigating such practices in research laboratories in pioneering bioengineering sciences. It examines goals and challenges of two quite different kinds of integrative problem-solving practices: biomedical engineering (hybridization) and integrative systems biology (collaborative interdependence). Practical (...) lessons for facilitating research and learning in these specific fields are discussed and a preliminary set of interdisciplinary epistemic virtues are proposed as candidates for cultivation in interdisciplinary practices of these kinds more widely. (shrink)

The present article focuses on the conceptual structures of two Arabic words which are used in both everyday life and science: كَهْرَبَاء (kahrabāʾ) (electricity) and ضَوْء (ḍawʾ) (light). Under a cognitive linguistics approach, the polysemy of these terms, revealed in the citations extracted from ArabiCorpus, is studied. More specifically, the analysis of the terms involves the polysemy or ‘radial category’ along with its prototypical and peripheral meanings, and the main factors in projecting the idealised cognitive models (ICMs) (...) where the radial categories are formed: conceptual metaphor and conceptual metonymy. The results indicate that power and knowledge motivate the conceptualisations that underpin the categories كَهْرَبَاء (kahrabāʾ) (electricity) and ضَوْء (ḍawʾ) (light) respectively. Using such non-scientific conception in understanding the scientific senses of these terms leads to students’ confusion and failure to understand them. To ensure that students construe the scientific concepts correctly, they must be mindful of the inconsistency between their non-scientific and scientific meanings. (shrink)

This volume gathers together leading philosophers of science and cognitive scientists from around the world to provide one of the first book-length studies of this important and emerging field. Specific topics considered include learning and the nature of scientific knowledge, the cognitive consequences of exposure to explanations, climate change, and mechanistic reasoning and abstraction. Chapters explore how experimental methods can be applied to questions about the nature of science and show how to fruitfully theorize about the (...) nature and role of science with well-grounded empirical research. Advances in Experimental Philosophy of Science presents a new direction in the philosophical exploration of science and paves a path for those who might seek to pursue research in experimental philosophy of science. (shrink)

The existence of objective knowledge and the possibility of communicating it by means of language have traditionally been taken for granted by educators. Recent developments in the philosophy of science and the historical study of scientific accomplishments have deprived these presuppositions of their former plausibility. Sooner or later, this must have an effect on the teaching of science. In this paper I am presenting a brief outline of an alternative theory of knowing that takes into account the thinking (...) organism's cognitive isolation from 'reality'. This orientation was proposed by Vico at the beginning of the 18th century, disregarded for two hundred years, and then propounded independently by Piaget as a developmentally grounded constructivist epistemology. The paper focuses specifically on the adaptive function of cognition, Piaget's scheme theory, the process of communication, and the subjective perspective on social interaction. In the concluding section it then suggests some of the consequences the shift of epistemological presuppositions might have for the practice of teaching. (shrink)

The existence of objective knowledge and the possibility of communicating it by means of language have traditionally been taken for granted by educators. Recent developments in the philosophy of science and the historical study of scientific accomplishments have deprived these presuppositions of their former plausibility. Sooner or later, this must have an effect on the teaching of science. In this paper I am presenting a brief outline of an alternative theory of knowing that takes into account the thinking (...) organism''s cognitive isolation from reality. This orientation was proposed by Vico at the beginning of the 18th century, disregarded for two hundred years, and then propounded independently by Piaget as a developmentally grounded constructivist epistemology. The paper focuses specifically on the adaptive function of cognition, Piaget''s scheme theory, the process of communication, and the subjective perspective on social interaction. In the concluding section it then suggests some of the consequences the shift of epistemological presuppositions might have for the practice of teaching. (shrink)

The philosophy of science has lost its self-confidence, witness the lack of advanced textbooks in contrast to the abundance of elementary textbooks. Structures in Science is an advanced textbook that explicates, updates, accommodates, and integrates the best insights of logical-empiricism and its main critics. This `neo-classical approach' aims at providing heuristic patterns for research. The book introduces four ideal types of research programs and reanimates the distinction between observational laws and proper theories. It explicates various patterns of explanation (...) by subsumption and specification as well as structures in reductive and other types of interlevel research. Its analysis of theory evaluation leads to new characterizations of confirmation, empirical progress, and pseudoscience. Partial analogies between progress in nomological research and progress in explicative and design research emerge. Finally, special chapters are devoted to design research programs, computational philosophy of science, the structuralist approach to theories, and research ethics. (shrink)

This article is a contribution to the critical sociology of science perspective introduced and developed by Pierre Bourdieu. The paper proposes a transversalist theory of science and technology production and diffusion. It is here argued that science and technology are comprised of multiple regimes where each regime is historically grounded, possesses its own division of labour, modes of cognitive and artifact production and has specific audiences. The major regimes include the disciplinary regime, utilitarian regime, transitory regime (...) and research-technology regime. Though each regime is autonomous, they are simultaneously closely interlaced. In science and technology, autonomy is not antithetical to interdependence and reciprocity. This study demonstrates for the four specified regimes of production and diffusion that differentiation is not contrary to interaction. In science, differentiation and interaction comprise two sides of the same coin. All regimes exhibit a measure of transversality. (shrink)

Over the past 10 years, Cognitive Linguistics has taken a quantitative turn. Yet, concerns have been raised that this preoccupation with quantification and modelling may not bring us any closer to understanding how language works. We show that this objection is unfounded, especially if we rely on modelling techniques based on biologically and psychologically plausible learning algorithms. These make it possible to take a quantitative approach, while generating and testing specific hypotheses that will advance our understanding of how knowledge (...) of language emerges from exposure to usage. (shrink)

This paper explores a variety of different versions of the thesis that natural language is involved in human thinking. It distinguishes amongst strong and weak forms of this thesis, dismissing some as implausibly strong and others as uninterestingly weak. Strong forms dismissed include the view that language is conceptually necessary for thought (endorsed by many philosophers) and the view that language is _de facto_ the medium of all human conceptual thinking (endorsed by many philosophers and social scientists). Weak forms include (...) the view that language is necessary for the acquisition of many human concepts, and the view that language can serve to scaffold human thought processes. The paper also discusses the thesis that language may be the medium of _conscious_ propositional thinking, but argues that this cannot be its most fundamental cognitive role. The idea is then proposed that natural language is the medium for non-domain-specific thinking, serving to integrate the outputs of a variety of domain-specific conceptual faculties (or central-cognitive ‘quasi-modules’). Recent experimental evidence in support of this idea is reviewed, and the implications of the idea are discussed, especially for our conception of the architecture of human cognition. Finally, some further kinds of evidence which might serve to corroborate or refute the hypothesis are mentioned. The overall goal of the paper is to review a wide variety of accounts of the cognitive function of natural language, integrating a number of different kinds of evidence and theoretical consideration in order to propose and elaborate the most plausible candidate. (shrink)

Specifically designed to make the philosophy of mind intelligible to those not trained in philosophy, this book provides a concise overview for students and researchers in the cognitive sciences. Emphasizing the relevance of philosophical work to investigations in other cognitive sciences, this unique text examines such issues as the meaning of language, the mind-body problem, the functionalist theories of cognition, and intentionality. As he explores the philosophical issues, Bechtel draws connections between philosophical views and theoretical and experimental work (...) in such disciplines as cognitive psychology, artificial intelligence, linguistics, neuroscience, and anthropology. (shrink)

Does recent work in the cognitive sciences have any implications for theories or methods employed within the philosophy of science itself? The answer to this question depends first on one’s conception of the philosophy of science and then on the nature of work being done in the various different fields comprising the cognitive sciences. For example, one might think of the philosophy of science as being an autonomous discipline that is both logically and epistemologically prior (...) to any empirical inquiry. If the cognitive sciences are empirical sciences, then research in the cognitive sciences could not have any significant implications for the philosophy of science. And that would be the end of the matter. Logical Empiricism is now typically understood as having exemplified this point of view.More specifically, Logical Empiricism took it for granted (i) that scientific knowledge should be understood as ideally having the structure of a formal logical calculus, and (ii) that the empirical warrant for scientific claims is given by directly observed data together with formal rules which determine the weight of the evidence for or against the particular claims in question. (shrink)

Although language has long been regarded as a primarily arbitrary system, sound symbolism, or non-arbitrary correspondences between the sound of a word and its meaning, also exists in natural language. Previous research suggests that listeners are sensitive to sound symbolism. However, little is known about the specificity of these mappings. This study investigated whether sound symbolic properties correspond to specific meanings, or whether these properties generalize across semantic dimensions. In three experiments, native English-speaking adults heard sound symbolic foreign words (...) for dimensional adjective pairs and for each foreign word, selected a translation among English antonyms that either matched or mismatched with the correct meaning dimension. Listeners agreed more reliably on the English translation for matched relative to mismatched dimensions, though reliable cross-dimensional mappings did occur. These findings suggest that although sound symbolic properties generalize to meanings that may share overlapping semantic features, sound symbolic mappings offer semantic specificity. (shrink)

The philosophy of science has lost its self-confidence. Structures in Science (2001) is an advanced textbook that explicates, updates and integrates the best insights of logical empiricism and its main critics. This "neo-classical approach" aims at providing heuristic patterns for research.The book introduces four ideal types of research programs (descriptive, explanatory, design and explicative) and reanimates the distinction between observational laws and proper theories without assuming a theory-free language. It explicates various patterns of explanation by subsumption and specification (...) as well as structures in reductive and other types of interlevel research. Its threefold analysis of theory evaluation leads to new characterizations of confirmation, empirical progress, and truth approximation. What emerges are partial analogies between progress in nomological research, presented in detail in From Instrumentalism to Constructive Realism (2000) and progress in explicative and design research. Finally, special chapters are devoted to design research programs, computational philosophy of science, the structuralist approach to theories, and research ethics.The present synopsis of Structures in Science highlights the main topics, the final emphasis being on design research and research ethics. (shrink)

Atran's account of cultural transmission can be further refined by considering constraints from early-developed, domain-specific intuitive ontological understanding. These suggest specific predictions about the cultural survival of “memes,” depending on the way they activate intuitive understanding. There is no general dynamic of cultural inheritance; only complex predictions for domain-specific competencies that cut across cultural domains.

We situate the debate on intentionality within the rise of cognitive neuroscience and argue that cognitive neuroscience can explain intentionality. We discuss the explanatory significance of ascribing intentionality to representations. At first, we focus on views that attempt to render such ascriptions naturalistic by construing them in a deflationary or merely pragmatic way. We then contrast these views with staunchly realist views that attempt to naturalize intentionality by developing theories of content for representations in terms of information and (...) biological function. We echo several other philosophers by arguing that these theories over-generalize unless they are constrained by a theory of the functional role of representational vehicles. This leads to a discussion of the functional roles of representations, and how representations might be realized in the brain. We argue that there’s work to be done to identify a distinctively mental kind of representation. We close by sketching a way forward for the project of naturalizing intentionality. This will not be achieved simply by ascribing the content of mental states to generic neural representations, but by identifying specific neural representations that explain the puzzling intentional properties of mental states. (shrink)

I have been arguing, for almost thirty years now, that emotions have been unduly neglected in philosophy. Back in the seventies, it was an argument that attracted little sympathy. I have also been arguing that emotions are a ripe for philosophical analysis, a view that, as evidenced by the Manchester 2001 conference and a large number of excellent publications, has now become mainstream. My own analysis of emotion, first published in 1973, challenged the sharp divide between emotions and rationality, insisted (...) that we reject the established notion that the emotions are involuntary, and argued, in a brief slogan, that ‘emotions are judgments.’ Since then, although the specific term ‘judgment’ has come under considerable fire and my voluntarist thesis continues to attract incredulousness the general approach I took to emotions has been widely accepted in both philosophy and the social sciences. When Paul Griffiths took on what he misleadingly characterized as ‘propositional attitude’ theories of emotion as the enemy of all that was true and scientifically worthy, I knew that we had made it. Such ferocious abuse is surely a sign that we had shifted, in Kuhnian terms, from being revolutionary to becoming the ‘normal’ paradigm. The current counter-revolution of affect programmes and neuro-reductionism says a lot about who we are and how far we have come. (Progress in philosophy is moved more by this drama of one outrageous thesis after another—once called ‘dialectic’—than by cautious, careful argument.). (shrink)

This paper presents a cognitive model of the planning process. The model generalizes the theoretical architecture of the Hearsay‐ll system. Thus, it assumes that planning comprises the activities of a variety of cognitive “specialists.” Each specialist can suggest certain kinds of decisions for incorporation into the plan in progress. These include decisions about: (a) how to approach the planning problem; (b) what knowledge bears on the problem; (c) what kinds of actions to try to plan; (d) what specific (...) actions to plan; and (e) how to allocate cognitive resources during planning. Within each of these categories, different specialists suggest decisions at different levels of abstraction. The activities of the various specialists are not coordinated in any systematic way. Instead, the specialists operate opportunistically, suggesting decisions whenever promising opportunities arise. The paper presents a detailed account of the model and illustrates its assumptions with a “thinking aloud” protocol. It also describes the performance of a computer simulation of the model. The paper contrasts the proposed model with successive refinement models and attempts to resolve apparent differences between the two points of view. (shrink)

This volume offers a meta-philosophical reflection on feminist philosophies of science. It emphasizes and discusses both the connections and differences between "traditional" philosophies of science and feminist philosophies of science. The collection systematically analyses feminist contributions to the various philosophies of specific sciences. Each chapter is devoted to a specific area of philosophy of science: general philosophy of science, philosophy of biology, philosophy of climate sciences, philosophy of cognitive sciences and neurosciences, philosophy of economics, (...) philosophy of history and archaeology, philosophy of logic and mathematics, philosophy of medicine, philosophy of psychology, philosophy of physics, and philosophy of social sciences. Since some of these areas have so far rarely been addressed by feminist philosophers, this new collection provides new angels and stimulates the debate on pivotal issues that are part and parcel of both "traditional" philosophies of science and feminist philosophies of science. Using a range of different methodologies and styles, the essays all show great clarity in both arguments and contents. (shrink)

Cognitive scientists of religion promise to lay bare the cognitive mechanisms that generate religious beliefs in human beings. Defenders of the debunking argument believe that the cognitive mechanisms studied in this field pose a threat to folk theism. A number of influential responses to the debunking argument rely on making two sets of distinctions: proximate/ultimate explanations and specific/general religious beliefs. I argue, however, that such responses have drawbacks and do not make room for folk theism. I suggest (...) that a detour through the literature in the philosophy of mind regarding the problem of mental causation regarding nonreductive physicalism can provide a way for preserving folk theism without doing violence to the way cognitive science of religion is being practiced today. More specifically, I believe there is a way of responding to the debunking argument that does not require a rejection of the causal premise. (shrink)

We discuss external and internal graphical and linguistic representational systems. We argue that a cognitive theory of peoples' reasoning performance must account for (a) the logical equivalence of inferences expressed in graphical and linguistic form, and (b) the implementational differences that affect facility of inference. Our theory proposes that graphical representation limit abstraction and thereby aid “processibility”. We discuss the ideas of specificity and abstraction, and their cognitive relevance. Empirical support both comes from tasks which involve the (...) manipulation of external graphics and tasks that do not. For the former, we take Euler's (1772) circles, provide a novel computational reconstruction, show how it captures abstractions, and contrast it with earlier construals and with Johnson‐Laird's (1983) mental models representations. We demonstrate equivalence of the graphical Euler system, and the nongraphical mental models system. For tasks not involving manipulation of external graphics, we discuss text comprehension, and the mental performance of syllogisms. By positing an internal system with the same specificity as Euler's circles, we cover the mental models data, and generate new empirical predictions. Finally, we consider how the architecture of working memory explains why such specific representations are relatively easy to store. (shrink)

The use of physical models of molecular structures as research tools has been central to the development of biochemistry and molecular biology. Intriguingly, it has received little attention from scholars of science. In this paper, I argue that these physical models are not mere three-dimensional representations but that they are in fact very special research tools: they are cognitive augmentations. Despite the fact that they are external props, these models serve as cognitive tools that augment and extend (...) the modeler’s cognitive capacities and performance in molecular modeling tasks. This cognitive enhancement is obtained because of the way the modeler interacts with these models, the models’ materiality contributing to the solving of the molecule’s structure. Furthermore, I argue that these material models and their component parts were designed, built and used specifically to serve as cognitive facilitators and cognitive augmentations. (shrink)

How do cognitive neuroscientists explain phenomena like memory or language processing? This book examines the different kinds of experiments and manipulative research strategies involved in understanding and eventually explaining such phenomena. Against this background, it evaluates contemporary accounts of scientific explanation, specifically the mechanistic and interventionist accounts, and finds them to be crucially incomplete. Besides, mechanisms and interventions cannot actually be combined in the way usually done in the literature. This book offers solutions to both these problems based on (...) insights from experimental practice. It defends a new reading of the interventionist account, highlights the importance of non-interventionist studies for scientific inquiry, and supplies a taxonomy of experiments that makes it easy to see how the gaps in contemporary accounts of scientific explanation can be filled. The book concludes that a truly empirically adequate philosophy of science must take into account a much wider range of experimental research than has been done to date. With the taxonomy provided, this book serves a stepping-stone leading into a new era of philosophy of science—for cognitive neuroscience and beyond. (shrink)

This volume offers an English translation of John of St. Thomas's Cursus theologicus I, question I, disputation 2. In this particular text, the Dominican master raises questions concerning the scientific status and nature of theology. At issue, here, are a number of factors: namely, Christianity's continual coming to terms with the "Third Entry" of Aristotelian thought into Western Christian intellectual culture - specifically the Aristotelian notion of 'science' and sacra doctrina's satisfaction of those requirements - the Thomistic-commentary tradition, and (...) the larger backdrop of the Iberian Peninsula's flourishing "Second Scholasticism." In this latter context, John of St. Thomas applies the theological principles of Thomas Aquinas to the Scholastic disputes preoccupying Thomist, Franciscan, and Jesuit theologians, such as Cajetan, Bañez, Luis de Molina, Vazquez, Suárez - to name only a few - in a tour de force of theological thinking throughout the entire period of Scholasticism. In the process - and not insignificantly - the status quaestionis of theology's scientific character is clearly framed and answered according to John's satisfaction. Key to John of St. Thomas's resolution of the question is his understanding of the continuity of the power of human reason with the super-intelligibility of divine revelation spelled out in terms of what he calls "virtual revelation." This text presented in this volume is a quintessential example of the deep and abiding harmony that flourished between faith and reason as well as grace and nature within the golden era of Baroque Scholasticism. (shrink)

We discuss the three dominant models of the phenomenological literature pertaining to temporal consciousness, namely the cinematic, the retentional, and the extensional model. This is first done by presenting the distinction between acts and contents of consciousness and the assumptions underlying the different models concerning both the extendedness and duration of these two components. Secondly, we elaborate on the consequences related to whether a perspective of direct or indirect realism about temporal perceptions is assumed. Finally, we review some relevant findings (...) from the psychology and neuroscience of temporality in order to decide which of the three models of time consciousness is better confirmed from an empirical viewpoint. Depending on the time scale, all three models of temporal consciousness might apply. We specifically argue in favor of an extensional model of time consciousness for the experienced present where the acts and contents of consciousness are both extended. The retentional model might apply to longer time intervals covered by working memory. In addition, a predictive component is highlighted as decisive for an understanding of temporality. (shrink)

In this inaugural lecture I offer, against the background of a discussion of knowledge representation and its tools, an overview of my research in the philosophy of science. I defend a relational model-theoretic realism as being the appropriate meta-stance most congruent with the model-theoretic view of science as a form of human engagement with the world. Making use of logics with preferential semantics within a model-theoretic paradigm, I give an account of science as process and product. I (...) demonstrate the power of the full-blown employment of this paradigm in the philosophy of science by discussing the main applications of model-theoretic realism to traditional problems in the philosophy of science. I discuss my views of the nature of logic and of its role in the philosophy of science today. I also specifically offer a brief discussion on the future of cognitive philosophy in South Africa. My conclusion is a general look at the nature of philosophical inquiry and its significance for philosophers today. South African Journal of Philosophy Vol. 25 (4) 2006: pp. 275-289. (shrink)

Beyond modularityattempts a synthesis of Fodor's anticonstructivist nativism and Piaget's antinativist constructivism. Contra Fodor, I argue that: (1) the study of cognitive development is essential to cognitive science, (2) the module/central processing dichotomy is too rigid, and (3) the mind does not begin with prespecified modules; rather, development involves a gradual process of “modularization.” Contra Piaget, I argue that: (1) development rarely involves stagelike domain-general change and (2) domainspecific predispositions give development a small but significant kickstart by (...) focusing the infant's attention on proprietary inputs. Development does not stop at efficient learning. A fundamental aspect of human development (“representational redescription”) is the hypothesized process by which information that isina cognitive system becomes progressively explicit knowledgetothat system. Development thus involves two complementary processes of progressive modularization and progressive “explicitation.” Empirical findings on the child as linguist, physicist, mathematician, psychologist, and notator are discussed in support of the theoretical framework. Each chapter concentrates first on the initial state of the infant mind/brain and on subsequent domain-specific learning in infancy and early childhood. It then goes on to explore data on older children's problem solving and theory building, with particular focus on evolving cognitive flexibility. Emphasis is placed throughout on the status of representations underlying different capacities and on the multiple levels at which knowledge is stored and accessible. Finally, consideration is given to the need for more formal developmental models, and a comparison is made between representational redescription and connectionist simulations of development. In conclusion, I consider what is special about human cognition by speculating on the status of representations underlying the structure of behavior in other species. (shrink)

Human vision supports social perception by efficiently detecting agents and extracting rich information about their actions, goals, and intentions. Here, we explore the cognitive architecture of perceived animacy by constructing Bayesian models that integrate domain‐specific hypotheses of social agency with domain‐general cognitive constraints on sensory, memory, and attentional processing. Our model posits that perceived animacy combines a bottom–up, feature‐based, parallel search for goal‐directed movements with a top–down selection process for intent inference. The interaction of these architecturally distinct processes (...) makes perceived animacy fast, flexible, and yet cognitively efficient. In the context of chasing, in which a predator (the “wolf”) pursues a prey (the “sheep”), our model addresses the computational challenge of identifying target agents among varying numbers of distractor objects, despite a quadratic increase in the number of possible interactions as more objects appear in a scene. By comparing modeling results with human psychophysics in several studies, we show that the effectiveness and efficiency of human perceived animacy can be explained by a Bayesian ideal observer model with realistic cognitive constraints. These results provide an understanding of perceived animacy at the algorithmic level—how it is achieved by cognitive mechanisms such as attention and working memory, and how it can be integrated with higher‐level reasoning about social agency. (shrink)

The computational view of mind rests on certain intuitions regarding the fundamental similarity between computation and cognition. We examine some of these intuitions and suggest that they derive from the fact that computers and human organisms are both physical systems whose behavior is correctly described as being governed by rules acting on symbolic representations. Some of the implications of this view are discussed. It is suggested that a fundamental hypothesis of this approach is that there is a natural domain of (...) human functioning that can be addressed exclusively in terms of a formal symbolic or algorithmic vocabulary or level of analysis. Much of the paper elaborates various conditions that need to be met if a literal view of mental activity as computation is to serve as the basis for explanatory theories. The coherence of such a view depends on there being a principled distinction between functions whose explanation requires that we posit internal representations and those that we can appropriately describe as merely instantiating causal physical or biological laws. In this paper the distinction is empirically grounded in a methodological criterion called the " cognitive impenetrability condition." Functions are said to be cognitively impenetrable if they cannot be influenced by such purely cognitive factors as goals, beliefs, inferences, tacit knowledge, and so on. Such a criterion makes it possible to empirically separate the fixed capacities of mind from the particular representations and algorithms used on specific occasions. In order for computational theories to avoid being ad hoc, they must deal effectively with the "degrees of freedom" problem by constraining the extent to which they can be arbitrarily adjusted post hoc to fit some particular set of observations. This in turn requires that the fixed architectural function and the algorithms be independently validated. It is argued that the architectural assumptions implicit in many contemporary models run afoul of the cognitive impenetrability condition, since the required fixed functions are demonstrably sensitive to tacit knowledge and goals. The paper concludes with some tactical suggestions for the development of computational cognitive theories. (shrink)

The last 15 years or so has seen the development of a fascinating new area of cognitive science: the cognitive science of religion (CSR). Scientists in this field aim to explain religious beliefs and various other religious human activities by appeal to basic cognitive structures that all humans possess. The CSR scientific theories raise an interesting philosophical question: do they somehow show that religious belief, more specifically belief in a god of some kind, is irrational? (...) In this paper I investigate this question and argue that CSR does not show that belief in god is irrational. (shrink)

This paper addresses the questions concerningthe relationship between scientific andcognitive processes. The fact that both,science and cognition, aim at acquiring somekind of knowledge or representationabout the world is the key for establishing alink between these two domains. It turns outthat the constructivist frameworkrepresents an adequate epistemologicalfoundation for this undertaking, as its focusof interest is on the (constructive)relationship between the world and itsrepresentation. More specifically, it will beshown how cognitive processes and their primaryconcern to construct a representation of theenvironment (...) and to generate functionallyfitting behavior can act as the basis forembedding the activities and dynamics of theprocess of science in them by making use ofconstructivist concepts, such as functionalfitness, structure determinedness, etc.Cognitive science and artificiallife provide the conceptual framework of representational spaces and their interactionbetween each other and with the environmentenabling us to establish this link betweencognitive processes and thedevelopment/dynamics of scientific theories.The concepts of activation, synaptic weight,and genetic (representational) spaces arepowerful tools which can be used asexplanatory vehiclesfor a cognitivefoundation of science, more specifically forthe context of discovery (i.e., thedevelopment, construction, and dynamics ofscientific theories and paradigms).Representational spaces do not only offer us abetter understanding of embedding science incognition, but also show, how theconstructivist framework, both, can act as anadequate epistemological foundation for theseprocesses and can be instantiated by theserepresentational concepts from cognitivescience. The final part of this paper addresses somemore fundamental questions concerning thepositivistic and constructivist understandingof science and human cognition. Among otherthings it is asked, whether a purelyfunctionalist and quantitative view of theworld aiming almost exclusively at itsprediction and control is really satisfying forour intellect (having the goal of achieving aprofound understanding of reality). (shrink)

In this book, Earl Mac Cormac presents an original and unified cognitive theory of metaphor using philosophical arguments which draw upon evidence from psychological experiments and theories. He notes that implications of this theory for meaning and truth with specific attention to metaphor as a speech act, the iconic meaning of metaphor, and the development of a four-valued system of truth. Numerous examples of metaphor from poetry and science are presented and analyzed to support Mac Cormac's theory. A (...) Cognitive Theory of Metaphortakes up three levels of explanation—metaphor as expressed in surface language, the semantics of metaphor, and metaphor as a cogitive process—and unifies these by interpreting metaphor as an evolutionary knowledge process in which metaphors mediate between minds and culture. Mac Cormac considers, and rejects, the radical theory that all use of language is metaphorical; however, this argument also recognizes that the theoryof metaphor may itself be metaphorical. The book first considers the computational metaphor often adopted by cognitive psychology as an example of metaphor requiring analysis. In contrast to three well-known philosophical theories of metaphor—the tension theory, the controversion theory, and the grammatical deviance theory—it develops a semantical anomaly theory of metaphor based on a quasi-mathematical hierarchy of words. In developing the theory, Mac Cormac makes much-needed connections between theories of metaphor and more orthodox analytic philosophy of meaning, including discussions of speech acts and the logic of fuzzy sets. This semantical theory of explanation is then shown to be compatible with contemporary psychological theories of memory. (shrink)

Psychology is once again in the course of rapid change in both metaphysics and method. Unfortunately recent studies of human action by philosophers have contributed less to this movement than they might. Putting the matter very crudely the failure of much contemporary action theory to influence the human sciences can be attributed to an adherence to an outmoded philosophy of science and an outdated theory of causation. I shall be dealing with only one specific example of recent action theory (...) in this paper, that of Davidson, but its shortcomings are fairly typical of the approach. (shrink)

Psychology is once again in the course of rapid change in both metaphysics and method. Unfortunately recent studies of human action by philosophers have contributed less to this movement than they might. Putting the matter very crudely the failure of much contemporary action theory to influence the human sciences can be attributed to an adherence to an outmoded philosophy of science and an outdated theory of causation. I shall be dealing with only one specific example of recent action theory (...) in this paper, that of Davidson, but its shortcomings are fairly typical of the approach. (shrink)

The article deals with the problem of the cognitive status of moral judgements in moral philosophy and cognitive science. Having a cognitive status means that a judgement ade­quately expresses moral content in a form specific to morality. In moral philosophy, be­ginning with the Modern Times, the problem of cognitive status has been presented as a question about the nature of moral judgements and formulated as a dilemma of rea­son and sense. In the process of discussing (...) this problem, two schools of thought emerged: intellectualism and sentimentalism, which set a paradigm for thinking about moral judge­ments that is also incorporated in contemporary ethics. In both, the assertion of the ‘ratio­nal’ or ‘emotional’ nature of moral judgements was used to justify such features as un­conditionality, directness, universality, imperativeness, and non-utilitarianism. In contem­porary cognitive science, the issue of the ‘rational’ or ‘emotional’ nature of moral judge­ments is related to the issue of the emotional-intuitive and rational-discursive factors in the formation of moral judgements. By analysing the theories of Jonathan Haidt, ac­cording to which sense-intuitive moral judgements have cognitive status, and Joshua Green, according to which only rational-discursive judgements have such status, it was shown that the dilemma of reason and feeling is not clarified in cognitive science, but only reproduced. The lesson that moral philosophy must learn from the discussion of moral judgements in cognitive science is to recognise that neither the validity of moral judgements nor their specific features depend on whether reason or feeling, reasoning or intuition is involved in their formation. These features are entirely determined by the specificity of morality as a cultural phenomenon and are not produced by natural mecha­nisms. (shrink)

The paper intends to identify some particular basic assumptions, approaches and means of proceeding, which are spontaneously shared by philosophers, sociologists and historians of science, besides the common interchange of meta-notions describing science. To this end, the specific subject matter, scope, meta-cognitive goals and methodological background of each of the three domains of science study is first outlined. Only two shared proceedings are further discussed in details: the objective attitude, called 'playing a stranger', and the historiographers' (...) involvement in demarcational problem resolution. A far-reaching prospect is finally suggested for philosophers and historiographers: methodological partnership, leading towards the elaboration of an impending integral metatheory of science. (shrink)

What Is Scientific Knowledge? is a much-needed collection of introductory-level chapters on the epistemology of science. Renowned historians, philosophers, science educators, and cognitive scientists have authored 19 original contributions specifically for this volume. The chapters, accessible for students in both philosophy and the sciences, serve as helpful introductions to the primary debates surrounding scientific knowledge.First-year undergraduates can readily understand the variety of discussions in the volume, and yet advanced students and scholars will encounter chapters rich enough to (...) engage their many interests. The variety and coverage in this volume make it the perfect choice for the primary text in courses on scientific knowledge. It can also be used as a supplemental book in classes in epistemology, philosophy of science, and other related areas. (shrink)

This is a sequel to my paper, "Searching for a (Post)Foundational Approach to Philosophy of Science", which appeared in an earlier issue of this Journal [Ginev 2001, Journal for General Philosophy of science 32, 27-37]. In the present paper I continue to scrutinize the possibility of a strong hermeneutics of scientific research. My aim is to defend the position of cognitive existentialism that combines the advocacy of science's cognitive specificity and the rejection of any (...) form of essentialism. A special attention will be paid to the notion of the thematizing project of scientific research. (shrink)

Philosophy of science studies the methods, theories, and concepts used by scientists. It mainly developed as a field in its own right during the twentieth century and is now a diversified and lively research area. This book surveys the current state of the discipline by focusing on central themes like confirmation of scientific hypotheses, scientific explanation, causality, the relationship between science and metaphysics, scientific change, the relationship between philosophy of science and science studies, the role of (...) theories and models, unity of science. These themes define general philosophy of science. The book also presents sub-disciplines in the philosophy of science dealing with the main sciences: logic, mathematics, physics, biology, medicine, cognitive science, linguistics, social sciences, and economics. While it is common to address the specific philosophical problems raised by physics and biology in such a book, the place assigned to the philosophy of special sciences is much more unusual. Most authors collaborate on a regular basis in their research or teaching and share a common vision of philosophy of science and its place within philosophy and academia in general. The chapters have been written in close accordance with the three editors, thus achieving strong unity of style and tone. (shrink)

The richness of humanity is the diversity of its cultures, but now as never before the destructive power of modern technology and threatening ecological disasters make it necessary that we all recognize we are many peoples of one world. Complementing the diversity of our different cultures, the growth of a common, scientific knowledge inspires the hope that we may achieve and share a secondary culture of ideas. Computers, which can help represent explicitly the best ideas of modern science, can (...) aid in the diffusion of such powerful ideas to create a popular, secondary, scientific culture.We propose that a primary objective of learning environment design should be the development of thinkable models in the minds of students; further, since thinkable models represent a level of knowledge deeper than superficial terminology and specific graphical forms, such may be an objective suitable for various people in different cultures. To pursue these notions in some detail, a taxonomy of models is developed and the issue of how representations relate to human modes of perception and action is raised. The notions are explored first through the contrasting of a half-dozen approaches to the Pythagorean Theorem; then through describing polylingual word worlds and the Rosetta disk project.Common experiences produce common models —not only public models but the cognitive structures built from those shared experiences; and shared models will permit enhanced communication and understanding. If sharing experiences through play with computer based learning environments in different languages permits children to develop common models of the world, this will ultimately enhance mutual understanding between people in different places. This objective is now within reach. (shrink)