We intend to put into question two fundamental principles adopted by critical rationalism. One of them, explicitly proposed by Popper, argues that what is valid in logic is also in psychology. And the other, tacitly espoused, implies that epistemological verdicts have metascientific authority and validity. Regarding the second, we hold the view that to the conclusions arrived at by epistemology should not automatically be conferred metascientific authority and validity. To acquire metascientific import such conclusions also need to be derived from (...) the observation of the actual ways of producing scientific knowledge. The Hume-dependent manner with which Popper rejects induction exemplifies with emblematic strength the tendency to extend the conclusions of epistemology to philosophy of science. On one hand Popper endorses Hume’s argument about the lack of epistemic justification for induction, on the other, disagrees with the humean view that induction is routinely employed and should, therefore, be seen as a human or animal fact. Popper departs from Hume to argue that induction is not even a way of thinking; therefore, it can be employed neither by the layman nor by the scientist. Also in defense of the thesis that induction does not exist, Popper gives primacy to epistemology. More than an epistemological thesis, the theory that decrees that induction is not even a psychological fact requires empirical confirmation. For Popper being right, it is necessary to verify the theory that our minds always operate according to the model from the top down. And psychology not even provides the corroboration of Popper’s thesis. (shrink)

The Computational Metaphor is an extremely influential notion, and more than any other trend has given rise to the field of Cognitive Science. Environmentalism is at present better formalised as a political movement than as a scientific paradigm, despite significant research by Gibson and his followers. This article attempts to address the difficult problem of synthesising these two apparently antagonistic research paradigms.

The interpretive processes required to understand the context and goals of an algorithmic task are illustrated in the use of an intelligent instructional system developed to train soldiers to monitor a computerized missile's system automatic identification of aircraft. The problems students had in understanding the identification task were addressed in INCOFT, a simulation-based intelligent instructional system that depends, in part, on human instructors to convey the task framework. Supported by recent advances in the cognitive science of instruction, the concept ofapprenticeship (...) provides a model for the student-machine as well as the student-instructor interactions observed in the use of INCOFT. The system's instantiation of apprenticeship illustrates an alternative to conventional tutorial-based design of intelligent instructional systems. (shrink)

The essay deals with the mechanism of interpretation for legal metaphorical expressions. Firstly, it points out the perspective the cognitive approach induced about legal metaphors; then it suggests that this perspective gains in plausibility when a new bilateral model of language understanding is endorsed. A possible sketch of the meaning-making procedure for legal metaphors, compatible with this new model, is then proposed, and illustrated with some examples built on concepts belonging to the Italian Civil Code. The insights the bilateral model (...) of understanding provides are compared with the practice followed by legal communities for dealing with the metaphorical expressions they coin and use. (shrink)

A crucial task for sport research is to understand and explain the processes and conditions underlying skillful motor behavior. One way to account for these processes and conditions is to describe and analyze the distinct stages a learner goes through when acquiring a skill. This article starts by elaborating one of the most dominant conceptualizations of motor skills in sport, namely the information-processing approach to skills, and then it briefly recapitulates Hubert and Stuart Dreyfus’s phenomenology of skill acquisition. In a (...) second part, these two distinct perspectives of skills are discussed. The discussion progresses in a dialectical way where the author alternately argues for both perspectives. Emerging from this dialectic, the article presents two arguments for why Dreyfus’s phenomenology of skill acquisition is superior to the information-processing approach. (shrink)

The past 50 years have seen an accumulation of evidence suggesting that associative learning depends on high-level cognitive processes that give rise to propositional knowledge. Yet, many learning theorists maintain a belief in a learning mechanism in which links between mental representations are formed automatically. We characterize and highlight the differences between the propositional and link approaches, and review the relevant empirical evidence. We conclude that learning is the consequence of propositional reasoning processes that cooperate with the unconscious processes involved (...) in memory retrieval and perception. We argue that this new conceptual framework allows many of the important recent advances in associative learning research to be retained, but recast in a model that provides a firmer foundation for both immediate application and future research. (shrink)

In this paper, we argue that several recent ‘wide’ perspectives on cognition (embodied, embedded, extended, enactive, and distributed) are only partially relevant to the study of cognition. While these wide accounts override traditional methodological individualism, the study of cognition has already progressed beyond these proposed perspectives towards building integrated explanations of the mechanisms involved, including not only internal submechanisms but also interactions with others, groups, cognitive artifacts, and their environment. The claim is substantiated with reference to recent developments in the (...) study of “mindreading” and debates on emotions. We claim that the current practice in cognitive (neuro)science has undergone, in effect, a silent mechanistic revolution, and has turned from initial binary oppositions and abstract proposals towards the integration of wide perspectives with the rest of the cognitive (neuro)sciences. (shrink)

Historiography of science faces a preliminary question of strategy. A continuist conception of the history of science poses research problems different from those of a dynamic conception, which acknowledges that not only our theoretical knowledge but also the explananda themselves may change under the influence of new scientific insights. Whereas continuist historiography may advance our understanding of (the historical background of) current theoretical problems, dynamic historiography may also make a creative contribution to the progress of present-day research. This f act (...) is illustrated in a discussion of the various treatments of paradigmatic episodes in the history of philosophical psychology collected in the book under review, ranging from Socratic and Platonic sources of cognitivism, through medieval and modem views on mental language, representation and consciousness, to such 20th-century contributions as those of Husserl, Titchener, and analytic philosophy. (shrink)

The current renewal of connectionist techniques using networks of neuron-like units has started to have an influence on cognitive modelling. However, compared with classical artificial intelligence methods, the position of connectionism is still not clear. In this article artificial intelligence and connectionism are systematically compared as cognitive models so as to bring out the advantages and shortcomings of each. The problem of structured representations appears to be particularly important, suggesting likely research directions.

We argue that A. Damasio’s (1994) Somatic Marker hypothesis can explain why humans don’t generally suffer from the frame problem, arguably the greatest obstacle facing the Computational Theory of Mind. This involves showing how humans with damaged emotional centers are best understood as actually suffering from the frame problem. We are then able to show that, paradoxically, these results provide evidence for the Computational Theory of Mind, and in addition call into question the very distinction between easy and hard problems (...) in the contemporary philosophy of mind. (shrink)

Cognitive scientists must understand not just what the mind does, but how it does what it does. In this paper, I consider four aspects of cognitive architecture: how the mind develops, the extent to which it is or is not modular, the extent to which it is or is not optimal, and the extent to which it should or should not be considered a symbol‐manipulating device (as opposed to, say, an eliminative connectionist network). In each case, I argue that insights (...) from developmental and evolutionary biology can lead to substantive and important compromises in historically vexed debates. (shrink)

The aim of this article is to question the epistemic presuppositions of applying behavioural science in public policymaking. Philosophers of science who have examined the recent applications of the behavioural sciences to policy have contributed to discussions on causation, evidence, and randomised controlled trials. These have focused on epistemological and methodological questions about the reliability of scientific evidence and the conditions under which we can predict that a policy informed by behavioural research will achieve the policymakers’ goals. This paper argues (...) that the philosophical work of Helen Longino can also help us to have a better and fuller understanding of the knowledge which the behavioural sciences provide. The paper advances an analysis of the knowledge claims that are made in the context of policy applications of behavioural science and compares them with the behavioural research on which they are based. This allows us to show that behavioural policy and the debates accompanying it are based on an oversimplified understanding of what knowledge behavioural science actually provides. Recognising this problem is important as arguments that justify reliance on the behavioural sciences in policy typically presume this simplification. (shrink)

Within the strong branch of artificial intelligence, which is aimed at creating thinking machines with intellectual powers like those of man, the most explored research program is symbolic aI, defined as the attempt to use electronic computers to replicate the human mind, either assuming a structural and functional similarity between them, or trying to replicate the behavior produced by the human mind through computational processes that also have an intentional structure but are only instrumentally equivalent. In this paper we show (...) that strong symbolic aI, in either of its two variants, is impossible, since formal systems, that is what all computer programs ultimately are, are not sufficient to replicate in an intentional way four intellectual faculties of man that are essential to intelligent behavior: sense of the situation, common sense, procedural skills and theory abduction. (shrink)

The rejection of research results is sometimes thought to be justified in cases of individuals embracing fringe ideas that depart significantly from prevailing orthodoxy, or in cases of individuals who lack appropriate expertise or credentials. The case of John Garcia exhibits both of these dimensions, and illustrates that such rejection can delay scientific advancements. Garcia’s work decisively challenged what was the orthodoxy in psychology in the midcentury: behaviorism. Behaviorist learning theorists suffered from theory-entrenchment insofar as they failed to acknowledge Garcia’s (...) anomalous research findings that ran counter to their theoretical expectations. The case study also illustrates that theories on the margins can become embraced as a result of advancements in adjacent research fields. Studying how Garcia’s work moved from fringe to mainstream results in lessons for the philosophy of science and epistemology more generally. Only when we see the mechanisms of exclusion at work can we understand how science and other knowledge production systems can inadvertently act counterproductively via gatekeeping practices that filter out unorthodox points of view. (shrink)

Philosophy and Memory Traces defends two theories of autobiographical memory. One is a bewildering historical view of memories as dynamic patterns in fleeting animal spirits, nervous fluids which rummaged through the pores of brain and body. The other is new connectionism, in which memories are 'stored' only superpositionally, and reconstructed rather than reproduced. Both models, argues John Sutton, depart from static archival metaphors by employing distributed representation, which brings interference and confusion between memory traces. Both raise urgent issues about control (...) of the personal past, and about relations between self and body. Sutton demonstrates the role of bizarre body fluids in moral physiology, as philosophers from Descartes and Locke to Coleridge struggled to control their own innards and impose cognitive discipline on 'the phantasmal chaos of association'. Going on to defend connectionism against Fodor and critics of passive mental representations, he shows how problems of the self are implicated in cognitive science. (shrink)

One of the leading concerns animating current philosophy of mind is that, no matter how good a scientific account is, it will leave out what its like to be conscious. The challenge has thus been to study or at least explain away that qualitative dimension. Pursuant with that aim, I investigate how philosophy of signs in the Peircean tradition can positively reshape ongoing debates. Specifically, I think the account of iconic or similarity-based reference we find in semiotic theory offers a (...) more promising variant of the phenomenal concept strategy. Philosophers who endorse this strategy think that the difficulties we have fitting conscious qualia into a scientific picture may owe to the peculiar nature of indexical concepts. They point to the fact that, when we try to convey the feel of our experiences, we employ context-dependent gestures and/or utterances that are indexed to perspectives unique to each person. However, according to the theory I defend, there are three ways signs can refer, namely by convention, causal contact, and similarity. Since similarity is not reducible to proximity, I argue that a theory of reference that turns on shared quality can bypass some of the implausible consequences that plague indexical accounts. In the first chapter, I describe the apparatus needed to make sense of this claim. In the second chapter, I present my account of iconic reference. In the third chapter, I justify my reliance on a distinction that is less than real yet more than nominal. In the fourth chapter, I sketch a trinitarian metaphysics well-suited to house the foregoing account of qualia. (shrink)

Recent works in philosophy of mind and the cognitive sciences draw an “unconventional” picture of cognitive processes and of the mind. Instead of conceiving of cognition as a process that takes place within the boundaries of the skull and the skin, some contemporary theories claim that cognition is a situated process that encompasses the human agent’s boundaries. In particular, the Extended Mind Hypothesis (EMH) and the Enactive approach to cognition claim that embodied action is constitutive of cognitive processes, and thus (...) of the mind. Although both theories give an “extended” or “extensive” picture of cognition and of the mind, they disagree on the epistemic value of internal representations. The EMH claims that we need to posit internal action- oriented representations (AORs). AORs would account for action-selection, action-control, and for the prediction of incoming perceptual information. The enactive approach to cognition argues against AORs. The concept of AOR does not fulfill the representational conditions necessary to talk about representations properly. Furthermore, AORs are expressive of an internalistic prejudice, which makes the EMH weak. Moreover, a semiotic analysis of AORs shows that these items called “representations” are not active at all. Therefore, the epistemic posit of AOR plays no interesting job in the project of extending the mind in virtue of a reassessment of the concept of representation aimed at making it embodied and active. Therefore I claim that the concept of AOR has to be rejected. Action- control, action-selection, and the anticipation of aspects of action-perception loops can be explained in a more enactive way. Embodied action in a field of affordances explains how agents respond selectively to environmental features and how action-perception loops are anticipated by the “affective agent”. Furthermore, the enactive approach to cognition - especially if coupled with a semiotic description of cognitive niches and with some insights from the affective sciences (e.g. appraisal of core relational themes) - gives an explanation of action that, in contrast to the EMH, is actually able to “extend the mind”. (shrink)

Thesis (Ph.D.)--University of Hawaii at Manoa, 2008.

John Searle and Roger Penrose are two staunch critics of computationalism who nonetheIess believe that with the right framework the mind can be naturalized. while they may be successful in showing the shortcomings of computationalism, I argue that their alternative noncomputational frameworks equally fail to carry out the project to naturalize the mind. The main reason is their failure to resolve some fundamental incompatibilities between mind and science. Searle tries to resolve the incompatibility between the subjectivity of consciousness and the (...) objectivity of silence by means of conceptual clarification. He, howeve4 fails to deal with the concepts crucial to this incompatibility, namely, the publicness of scientific knowledge and the privacy of psychological knowledge. Penrose tries to resolve the incompatibility between the non-computationality of psychological process and the computationality of scientific process by expanding the scope of science through some radical changes in quantum physics. His strategy, howeve4 has the danger of trivializing the distinction between science and non-science thereby putting into question the very value of the project to naturalize the mind. In addition, the feasibility of this strategy remains dubious in light of the mysteries that still surround quantum physics. (shrink)

Due to his significant role in the development of computer technology and the discipline of artificial intelligence, Alan Turing has supposedly subscribed to the theory of mind that has been greatly inspired by the power of the said technology which has eventually become the dominant framework for current researches in artificial intelligence and cognitive science, namely, computationalism or the computational theory of mind. In this essay, I challenge this supposition. In particular, I will try to show that there is no (...) evidence in Turing’s two seminal works that supports such a supposition. His 1936 paper is all about the notion of computation or computability as it applies to mathematical functions and not to the nature or workings of intelligence. On the other hand, while his 1950 work is about intelligence, it is, however, particularly concerned with the problem of whether intelligence can be attributed to computing machines and not of whether computationality can be attributed to human intelligence or to intelligence in general. (shrink)

The purpose of this paper is to review the way in which cultural contributions to human nature have been treated within the field of cognitive science. I was initially motivated to write about this topic when invited to give a talk to a Cognitive Science department at a sister university in California a few years ago. My goal, on that occasion, was to convince my audience, none of whom were predisposed to considering culture an integral part of cognitive science, that (...) they would indeed benefit from recognizing some affinities between the ideas of some of the founders of cognitive science and ideas about culture emanating from the Soviet (now Russian) cultural-historical school. My task in presenting this argument to the readers of Outlines is most likely the mirror image of that earlier effort. On the one hand, the ideas of the cultural-historical school are well known to this readership and you do not need to be lectured on the topic by an American whose knowledge of the topic is no greater than your own. At best, the ways in which I have appropriated those ideas and put them to work might provide an opportunity to reflect on the strange fate of ideas when they move between national traditions of thought. On the other hand, owing to a double twist of fate (after all, what was an American doing in Moscow in 1962 doing post-doctoral work in psychology) I was also present during the discussions leading to the founding of Cognitive Science in the early 1970’s and subsequently became a member of the Cognitive Science Program at UCSD in the early 1980’s, arguably one of the pioneering efforts to institutionalize this new discipline. My hope is this unusual confluence of experiences, and the ideas that they have generated, will be of some use to those who see value in a dialogue between these different intellectual projects. With this goal in mind, I will begin by providing my own brief history of key ideas associated with the origins of cognitive science. My presentation will of necessity be highly selective – it is the relevance of the inclusion of culture in cognitive science that is my major focus. I will then summarize some major milestones in the development of cognitive science at UCSD before turning to describe my own fusion of ideas from cultural-historical psychology and cognitive science as a kind of existence proof of the potential value of inter-disciplinary dialogue. (shrink)

Decision-making has traditionally been modelled as a serial process, consisting of a number of distinct stages. The traditional account assumes that an agent first acquires the necessary perceptual evidence, by constructing a detailed inner repre- sentation of the environment, in order to deliberate over a set of possible options. Next, the agent considers her goals and beliefs, and subsequently commits to the best possible course of action. This process then repeats once the agent has learned from the consequences of her (...) actions and subsequently updated her beliefs. Under this interpretation, the agent’s body is considered merely as a means to report the decision, or to acquire the relevant goods. However, embodied cognition argues that an agent’s body should be understood as a proper part of the decision-making pro- cess. Accepting this principle challenges a number of commonly held beliefs in the cognitive sciences, but may lead to a more unified account of decision-making. This thesis explores an embodied account of decision-making using a recent frame- work known as predictive processing. This framework has been proposed by some as a functional description of neural activity. However, if it is approached from an embodied perspective, it can also offer a novel account of decision-making that ex- tends the scope of our explanatory considerations out beyond the brain and the body. We explore work in the cognitive sciences that supports this view, and argue that decision theory can benefit from adopting an embodied and predictive perspective. (shrink)

By the early part of the twentieth century, academia in the English-speaking world had stabilized (or ossified!) into a set of scientific and humanistic disciplines that still survives at the century’s end. The natural sciences have such disciplines as physics, chemistry, and biology, and the social sciences include economics, psychology, and sociology. These disciplines provide a convenient organizing principle for university departments and professional organizations, but they often bear little relation to cuttingedge research, which can concern topics that cut across (...) or occur at the boundaries of two or more of the established disciplines. When this happens, productive research and teaching must be interdisciplinary. Cognitive science is the interdisciplinary study of mind, embracing psychology, artificial intelligence, philosophy, neuroscience, linguistics, and anthropology. It is undoubtedly one of the major interdisciplinary successes of the twentieth century, with its own society, journal, and textbooks, and with more than sixty cognitive science programs established at universities in North American and Europe. This paper is an attempt to answer the question: What are the factors contributing to the success of the interdisciplinary field of cognitive science? My discussion is organized around the metaphor of the trading zone, a novel and fertile analogy that Gallison (1997) developed for his rich and detailed discussion of the practices of twentieth-century physics. To understand the diverse groups of December 1, 2006 experimenters and theoreticians, Gallison presents their interactions in terms of the trading zones described by anthropologists: Subcultures trade. Anthropologists have extensively studied how different groups, with radically different ways of dividing up the world and symbolically organizing its parts, can not only exchange goods but also depend essentially on those trades.. (shrink)

The 20 sup > th /sup > century has been a tumultuous time in psychology -- a century in which the discipline struggled with basic questions about its intellectual identity, but nonetheless managed to achieve spectacular growth and maturation. It’s not surprising, then, that psychology has attracted sustained philosophical attention and stimulated rich philosophical debate. Some of this debate was aimed at understanding, and sometimes criticizing, the assumptions, concepts and explanatory strategies prevailing in the psychology of the time. But much (...) philosophical work has also been devoted to exploring the implications of psychological findings and theories for broader philosophical questions like: Are humans really rational animals? How malleable is human nature? and Do we have any innate knowledge or innate ideas? One particularly noteworthy fact about philosophy of psychology in the 20 sup > th /sup > century is that, in the last quarter of the century, the distinction between psychology and the philosophy of psychology began to dissolve as philosophers played an increasingly active role in articulating and testing empirical theories about the mind and psychologists became increasingly interested in the philosophical underpinnings and implications of their work. Our survey is divided into five sections, each focusing on an important theme in 20 sup > th /sup > century psychology which has been the focus of philosophical attention and has benefited from philosophical scrutiny. (shrink)

This paper describes some epistemic cultural considerations which shape the uses of psychology. I argue the study of mind is bound by the metaphysical background of the given locale and era in which it is practiced. The epistemic setting in which psychology takes place will shape what is worth observing, how it is to be studied, how the data is to be interpreted, and the nature of the ultimate explanatory units. To demonstrate conceptual epistemic constraints, I discuss metaphor use in (...) psychology. In addition, epistemic constraints shape the praxes that arise from structural study of the mind. In order to illustrate this cultural constraint, I discuss Soviet Psychology and provide a contrast between practical uses of psychoanalysis in India, Egypt, and rural Ghana. In response to these conceptual and practical epistemic limitations, psychology could adapt methods drawn from history and anthropology. (shrink)

English: In this paper I indicate why I consider 'experimental philosophy' to be good news, though not as good as it could be, and not as all that new. I'll argue that there is no need to restrict experimental philosophy to eliciting intuitions through questionnaires. I'll indicate that good examples of experimental philosophy already exist in Artificial Intelligence and Cognitive Neuroscience. Dutch: Hieronder wil ik proberen aan te geven waarom ik de experimentele filosofie weliswaar als goed nieuws beschouw, maar niet (...) half zo goed als zou kunnen, en ook niet als echt nieuw. Qua filosofische experimenten beperkt de XF-beweging zich vooralsnog onnodig door haar focus op het eliciteren van intuïties, terwijl er reeds lang diverse goede voorbeelden van XF bestaan op het gebied van de kunstmatige intelligentie en de cognitieve neurowetenschap. (shrink)

The history of twentieth-century American psychology is often depicted as a history of the rise and fall of behaviorism. Although historians disagree about the theoretical and social factors that have contributed to the development of experimental psychology, there is widespread consensus about the growing and declining influence of behaviorism between approximately 1920 and 1970. Since such wide-scope claims about the development of American psychology are typically based on small and unrepresentative samples of historical data, however, the question rises to what (...) extent the received view is justified. This paper aims to answer this question in two ways. First, we use advanced scientometric tools to quantitatively analyze the metadata of 119.278 papers published in American journals between 1920 and 1970. We reconstruct the development and structure of American psychology using co-citation and co-occurrence networks and argue that the standard story needs reappraising. Second, we argue that the question whether behaviorism was the ‘dominant’ school of American psychology is historically misleading to begin with. Using the results of our bibliometric analyses, we argue that questions about the development of American psychology deserve more fine-grained answers. (shrink)

The article develops and justifies, on the basis of the epistemological argumentation theory, two central pieces of the theory of evaluative argumentation interpretation: 1. criteria for recognizing argument types and 2. rules for adding reasons to create ideal arguments. Ad 1: The criteria for identifying argument types are a selection of essential elements from the definitions of the respective argument types. Ad 2: After presenting the general principles for adding reasons (benevolence, authenticity, immanence, optimization), heuristics are proposed for finding missing (...) reasons, for deductive arguments, e.g., semantic tableaux are suggested. (shrink)

This essay shows the presence of transcendence in the on-going attempt to come up with a purely scientific account of the workings of the human mind. At the center of the developmental stages of this attempt is the computational theory of mind, which regards the human mind as some kind of computer. With Wittgenstein’s analysis of the limits of linguistic representation in the Tractatus as a framework, it is argued that the various difficulties encountered by this attempt are primarily due (...) to the transcendental nature of the human mind, which eludes scientific explanation. (shrink)

In this paper I attempt to sketch a preliminary framework for understanding the cognitive basis of the engagement of the mind with the material world. I advance the hypothesis that contrary to some of our most deeply-entrenched assumptions the relationship between the world and human cognition is not one of abstract representation or some other form of action at a distance but one of ontological inseparability. That is, what we have traditionally construed as an active or passive but always clearly (...) separated external stimulus for setting an internal cognitive mechanism into motion, may be after all a continuous part of the machinery itself; at least, ex hypothesi. (shrink)

In 2007, ten world-renowned neuroscientists proposed “A Decade of the Mind Initiative.” The contention was that, despite the successes of the Decade of the Brain, “a fundamental understanding of how the brain gives rise to the mind [was] still lacking” (2007, 1321). The primary aims of the decade of the mind were “to build on the progress of the recent Decade of the Brain (1990-99)” by focusing on “four broad but intertwined areas” of research, including: healing and protecting, understanding, enriching, (...) and modeling the mind. These four aims were to be the result of “transdisciplinary and multiagency” research spanning “across disparate fields, such as cognitive science, medicine, neuroscience, psychology, mathematics, engineering, and computer science.” The proposal for a decade of the mind prompted many questions (See Spitzer 2008). In this chapter, I address three of them: (1) How do proponents of this new decade conceive of the mind? (2) Why should a decade be devoted to understanding it? (3) What should this decade look like? (shrink)

This paper takes a board perspective on Community of Inquiry, following the orientation of earlier papers looking at progressive pedagogies. In those papers, I argued that Philosophy for Children should look for kindred spirits in order to both better understand its own position within pedagogic tradition and to “make friends” in order to positively influences the lives and learning of children. The whole language approaches to reading instruction was the major focus of those papers. Here I take a bolder perspective (...) arguing that in order to understand and appreciate what a community of inquiry is, how it operates, and its influence in the schools, one ought to look at applications of CI that are not within the Philosophy for Children literature. Some of these programs specifically discuss CI, others do not. In taking such an approach towards the literature of pedagogy, I have discovered and included programs that do use the words ‘community of inquiry’ as a part of the pedagogic lexicon. This position appears to be supported by Matthew Lipman himself. (shrink)

This paper serves to introduce the papers from the symposium by the same title, by describing the sort of work done in philosophy of psychology conceived as a branch of the philosophy of science, distinguishing it from other discussions of psychology in philosophy, and criticizing the claims to set limits on scientific psychology in the largely psychologically uninformed literatures concerning "folk psychology' and "wide" and "narrow" content. Philosophy of psychology as philosophy of science takes seriously and analyzes the explanatory structures, (...) conceptual problems, and evidentiary practices of extant scientific psychology. (shrink)