Instigados ou tocados com o belíssimo artigo escrito à quatro mãos entre Pim Haselager e González, nesta resenha crítica não só exporemos as linhas centrais de tal artigo que versa sobre uma proposta externalista da mente, levando em consideração a teoria da cognição encorporada e situada e a teoria da auto organização; também discutiremos que pensamos ser o externalismo algo muito radical. Neste sentido, prezamos por uma perspectiva mista: nem tão externalista, tampouco demasiada internalista.

I argue for three central theses: ‘intuition’ is ambiguous, in material object metaphysics ‘intuition’ refers to pre-theoretical beliefs, and these pre-theoretical beliefs are generated by an innate physical reasoning system. I begin by outlining the relevant background discussions on the nature of intuitions and their role in philosophy to motivate the need for a more careful investigation of the meaning of ‘intuition’ and the role of intuitions in specific sub-disciplines of philosophy. In chapters one and two I argue that ‘intuition’ (...) is ambiguous between an inflationary and deflationary sense. In the inflationary sense, ‘intuition’ refers to a priori intellectual seemings with a special phenomenology, conceptual etiology, and modal content. In the deflationary sense, ‘intuition’ refers to beliefs or inclinations to believe. In chapter three I specifically examine the use of intuitions in material object metaphysics and conclude that in this sub-community ‘intuition’ is used in the deflationary sense to refer to pre-theoretical beliefs. Drawing from research on infant cognition, in the final chapter I argue that intuitions regarding material object metaphysics are those judgments that arise from an innate physical reasoning system. Based on this empirical observation, I argue that metaphysicians ought to give preference to abstract intuitions over intuitions regarding concrete cases because these abstract intuitions reflect the innate structure of our physical reasoning mechanisms. (shrink)

According to the Perceptual Symbols Theory of cognition (Barsalou, 1999), modality‐specific simulations underlie the representation of concepts. A strong prediction of this view is that perceptual processing affects conceptual processing. In this study, participants performed a perceptual detection task and a conceptual property‐verification task in alternation. Responses on the property‐verification task were slower for those trials that were preceded by a perceptual trial in a different modality than for those that were preceded by a perceptual trial in the same modality. (...) This finding of a modality‐switch effect across perceptual processing and conceptual processing supports the hypothesis that perceptual and conceptual representations are partially based on the same systems. (shrink)

In the target article Hutto and Satne propose a new approach to studying mental content. Although I believe there is much to commend in their proposal, I argue that it makes no space for a kind of content that is of central importance to cognitive science, and which need not be involved in beliefs and desires: I will use the expression ‘representational content’ to refer to it. Neglecting representational content leads to an undue limitation of the contribution that the neo-Cartesian (...) approach can offer to the naturalising content project. I claim that neo-Cartesians can, on the one hand, help account for the nature of representational content and clarify what makes representational states contentful. On the other, besides explaining the natural origins of Ur-intentionality, neo-Cartesians should also take the role of accounting for the natural origins of contentful states that fall short of beliefs and desires. Finally, I argue that the only alternative for the authors is to embrace some form of non-representationalism, as Hutto elsewhere does. The success of the proposal thereby turns on the fate of the radical non-representationalist position that it accompanies. (shrink)

Linguistic theories of lexical semantics support a Neoclassical Theory of concepts, where entities like CAUSE, STATE, and MANNER serve as necessary conditions for the possession of individual event concepts. Not all concepts have a neoclassical structure, and whether or not words participate in regular linguistic patterns such as verbal alternations will be proposed as a probe for identifying whether their corresponding concepts do indeed have such structure. I show how the Neoclassical Theory supplements existing theories of concepts and supports a (...) version of analyticity and conceptual analysis. (shrink)

This project provides a detailed examination and critique of current philosophical, linguistic, and cognitive accounts of first language acquisition. In particular, I focus on the concept of "innate" and how it is embraced, marginally utilized, or abandoned altogether in efforts to describe the way that a child comes to be a competent user of a language. A central question that naturally falls out of this general inquiry is therefore what exactly is supposed to be "innate," according to various theories? Philosophically, (...) the theory of innate ideas put forth to explain human learning has existed for centuries and hence, this thesis as it relates to language is discussed. The revival of nativism by linguists like Chomsky is thus a central theme of the first chapter. Universal Grammar and the various arguments for it are closely scrutinized, and I close this chapter with what I take to be the commitments of linguistic nativism, how its proponents conceive of "innate," and several possible objections to the arguments they put forth. Just as the theory of innate ideas has had its contesters throughout the history of philosophy, so too have linguists and cognitive scientists rejected Universal Grammar and other forms of linguistic nativism. Thus, the second chapter presents several of these alternative explanations of language acquisition. Namely, I divide the chapter into three sections, Usage-Based Linguistics, Emergentism, and Sociolinguistic Acquisition, as it is my suggestion that most of the anti-UG attacks are levied from one of these three fields. In discussing the details of each, two distinctions become of particular concern: first, a large part of the differing conceptions of "innate" seem to hinge on what is meant by "learning" and "acquiring," and therefore second, a fine line between UBL and Emergentism can be drawn, a relationship that is otherwise conflated in the literature. Because chapter two involves a brief account of the way in which connectionist simulations are often utilized to model or represent language acquisition, particularly from an Emergentist perspective, chapter three begins by examining this feature of Emergentism in more detail. Due to its explanatory power, ability to be effectively modeled, and the evidentiary support found in neuroscience, Emergentism would appear to be the most tenable position to maintain regarding language acquisition. This possibility seems further strengthened when we take into account the neuroscientific data often used to bolster anti-nativist claims. Nevertheless, reflecting on the overarching concern of the project, regarding what is really meant by "innate," it is shown that this attack on nativism might stand on shakier ground than was originally assumed. Finally, based on these considerations, a case is made for an intermediary position, a theory of "Minimally Innate Ideas.". (shrink)

Tim Crane's ‘Cosmic Hermeneutics vs. Emergence: The Challenge of the Explanatory Gap’ claims that non‐reductive physicalism must either close the explanatory gap, addressing the challenge famously posed by Levine's argument, or become identical to emergentism. Since no way to close the gap is available, the result is that there can be no interesting philosophical position intermediate between physicalism and emergentism. This chapter argues that if we look at the relation between physicalism and emergentism from the vantage point of reduction, Crane's (...) analysis is rather persuasive. However, if we switch from reduction to causality, its conclusions appear more disputable. In particular, if we shift from ‘novelty and explanation’ to ‘novelty and causality’ as key features of emergent properties, we may introduce a distinction between two kinds of emergentism (moderate and radical) based on their attitude towards the causal inheritance principle. If the causal inheritance principle is accepted (some versions of) moderate emergentism may be considered as non‐trivial forms of non‐reductive physicalism. (shrink)

Language, through the discrete nature of linguistic names and strictly determined grammatical rules, creates absolute, “quantized”, sharply separated “facts” within the external world that is continuous, “fuzzy” and relational in its essence. Therefore, it is similar, in some important sense, to magic, which attributes causal and creative power to magical words and formulas. On the one hand, language increases greatly the effectiveness of the processes of thinking and interpersonal communication, yet, on the other hand, it determines and distorts to a (...) large extent the picture of the world created within the mind. The relatively smallest (but still significant) magical admixture is present in science, because of its relatively reliable methodology, while the largest is found in religion and a large part of philosophy. The magical nature of language also manifests itself in logic and mathematics that refer to ill determined, fuzzy objects, sets and relations in the real world. The meaning of linguistic names is based on the conceptual network—an epiphenomenon (continuous in its essence) of the neural network—where interactions between particular concepts are based on the relation of connotation. The names and formulas of language correspond to these concepts which are best separated and determined. A direct relation of denotation between the elements of language and “facts” of the world is an illusion. While we cannot dispense with language because of its immense usefulness, we must remember about its “fact-creating” nature and influence on our thought and cognitive processes. The picture of the reality created as the result of them is to a large extent formed and deformed by the nature of language, and not by the “immanent” properties of the world in itself. (shrink)

Niedenthal et al's classification of smiles erroneously conflates psychological mechanisms and adaptive functions. This confusion weakens the rationale behind the types of smiles they chose to individuate, and it obfuscates the distinction between the communicative versus denotative nature of smiles and the role of perceived-gaze direction in emotion recognition.

This paper will discuss the origin of the human mind, and the qualitative discontinuity between human and animal cognition. We locate the source of this discontinuity within the language faculty, and thus take the origin of the mind to depend on the origin of the language faculty. We will look at one such proposal put forward by Hauser et al. (Science 298:1569-1579, 2002), which takes the evolution of a Merge trait (recursion) to solely explain the differences between human and animal (...) cognition. We argue that the Merge-only hypothesis fails to account for various aspects of the human mind. Instead we propose that the process of lexicalisation is also unique to humans, and that this process is key to explaining the vast qualitative differences. We will argue that lexicalisation is a process through which concepts are reformatted to be able to take on semantic features and to take part in grammatical relations. These are both necessary conditions for a grammatical mind and the increased ability to express conceptual content. We therefore propose a possible explanans for the discontinuity between humans and animals, namely that merge with lexicalisation (and consequently semantic features and grammatical relations) is a minimal requirement for the human mind. (shrink)

The present studies examined whether implied tactile properties during language comprehension influence subsequent direct tactile perception, and the specificity of any such effects. Participants read sentences that implicitly conveyed information regarding tactile properties (e.g., Grace tried on a pair of thick corduroy pants while shopping) that were either related or unrelated to fabrics and varied in implied texture (smooth, medium, rough). After reading each sentence, participants then performed an unrelated rating task during which they felt and rated the texture of (...) a presented fabric. Results demonstrated that the texture properties implied in sentences influence direct tactile perception. Specifically, after reading about a smooth or rough texture, subsequent fabric ratings became notably smoother or rougher, respectively. However, we also show that there was some specificity to these effects: Fabric-related sentences elicited more specific and interactive effects on subsequent ratings. Together, we demonstrate that under certain circumstances, language comprehension can prime tactile representations and affect direct tactile perception. Results are discussed with regard to the nature and scope of multimodal mental simulation during reading. (shrink)

Near the beginning of the Cratylus (385e-387d) Plato's Socrates argues, against his friend Hermogenes, that the standards of correctness for our use of names in speech are in no way up to us. Yet this conclusion should strike us, at least initially, as bizarre. After all, how could it not be up to us whether to call our children by the names of our parents, or whether to call dogs “dogs“? My aim in this paper will be to show that, (...) although Plato's argument does not succeed in establishing this apparently bizarre conclusion, it may well succeed in establishing an equally momentous conclusion: that the standards of correctness for our use of concepts in thought are in no way up to us. (shrink)

The computational theory of mind construes the mind as an information-processor and cognitive capacities as essentially representational capacities. Proponents of the view claim a central role for representational content in computational models of these capacities. In this paper I argue that the standard view of the role of representational content in computational models is mistaken; I argue that representational content is to be understood as a gloss on the computational characterization of a cognitive process.Keywords: Computation; Representational content; Cognitive capacities; Explanation.

Gavagai! or the Future History of the Animal Language Controversy. By DAVID PREMACK.

This book is an inquiry into the philosophical concern with truth as one joint subject in philosophy of language and metaphysics and presents a theory of truth, substantive perspectivism (SP). Emphasizing our basic pre-theoretic understanding of truth (i.e., what is captured by the axiomatic thesis of truth that the nature of truth consists in capturing the way things are), and in the deflationism vs. substantivism debate background, SP argues for the substantive nature of non-linguistic truth and its notion’s indispensable substantive (...) explanatory role, both of which are not only intrinsically beyond what the linguistic function of the truth predicate can tell but are fundamentally related to the raison d’être of the truth predicate. Taking a holistic approach, SP endeavors to do justice to various reasonable perspectives, which are somehow contained in many competing accounts of truth, through a coordinate system: SP interprets such perspectives as distinct but related perspective-elaboration principles that distinctively (regarding distinct dimensions of the truth concern and/or for the sake of distinct purposes) elaborate, but are also unified by, the truth axiom thesis. To look at the issue from a broader vision, the book also takes a cross-tradition approach exploring the relationship between Daoist thinking of truth and thinking about truth in analytic philosophy.This book will enhance our systematic understanding of the issue through its holistic approach, broaden our vision on the issue via its cross-tradition approach, and enrich the conceptual and explanatory resources in treating the issue. (shrink)

The choice between realism and instrumentalism is at the core of concerns about how our scientific models relate to reality: Do our models aim to be literally true descriptions of reality, or is their role only as useful instruments for generating predictions? Realism about X, roughly speaking, is the claim that X exists and has its nature independent of our interests, attitudes, and beliefs. An instrumentalist about X denies this. She claims that talk of X should be understood as no (...) more than a useful locution for generating predictions, such talk should not be understood as taking on a commitment to the existence of X. According to an instrumentalist, we should either flatly not believe that X is out there, or else suspend judgement about the existence of X. The most we need acknowledge is that talk of X is useful in making predictions. The question of realism vs. instrumentalism can be asked about almost any theoretical entity in science. It is likely, and seems reasonable, that different answers will be given in different cases. Someone may wish to be a realist about certain theoretical entities (e.g. electrons), but an instrumentalist about others (e.g. centres of gravity). Not every noun-phrase in a scientific theory should be taken as expressing an ontological commitment. Psychological theories are no exception. Almost every theoretical posit in psychology has been questioned as to whether it is really out there or just a useful theoretical fiction. In this entry, I will focus on two major theoretical posits in psychology: (a) propositional attitudes (e.g. beliefs, desires) and (b) conscious states (qualia). (shrink)

According to the language of thought (LOT) approach and the related computational theory of mind (CTM), thinking is the processing of symbols in an inner mental language that is distinct from any public language. Herein, I explore a deep problem at the heart of the LOT/CTM program—it has yet to provide a plausible conception of a mental symbol.

In this book Martin Bunzl considers the prospects for a general and comprehensive account of explanation, given the variety of interests that prompt explanations in science. Bunzl argues that any successful account of explanation must deal with two very different contexts - one static and one dynamic. Traditionally, theories of explanation have been built for the former of these two contexts. That is to say, they are designed to show how it is that a 'finished' body of scientific knowledge can (...) be put to explanatory use. But finished sciences are few and far between. Real 'explanation' also occurs in a dynamical context in which questions are asked and answers are given as theories are in the process of being constructed. Here, Bunzl argues that attending to explanation produced under these dynamic circumstances undermines prominent features of the theory of explanation produced in the traditional static context. (shrink)

Two standard epistemological accounts are conflated in Dienes & Perner's account of knowledge, and this conflation requires the rejection of their four conditions of knowledge. Because their four metarepresentations applied to the explicit-implicit distinction are paired with these conditions, it follows by modus tollens that if the latter are inadequate, then so are the former. Quite simply, their account misses the link between true reasoning and knowledge.

How do minds emerge from developing brains? According to the representational features of cortex are built from the dynamic interaction between neural growth mechanisms and environmentally derived neural activity. Contrary to popular selectionist models that emphasize regressive mechanisms, the neurobiological evidence suggests that this growth is a progressive increase in the representational properties of cortex. The interaction between the environment and neural growth results in a flexible type of learning: minimizes the need for prespecification in accordance with recent neurobiological evidence (...) that the developing cerebral cortex is largely free of domain-specific structure. Instead, the representational properties of cortex are built by the nature of the problem domain confronting it. This uniquely powerful and general learning strategy undermines the central assumption of classical learnability theory, that the learning properties of a system can be deduced from a fixed computational architecture. Neural constructivism suggests that the evolutionary emergence of neocortex in mammals is a progression toward more flexible representational structures, in contrast to the popular view of cortical evolution as an increase in innate, specialized circuits. Human cortical postnatal development is also more extensive and protracted than generally supposed, suggesting that cortex has evolved so as to maximize the capacity of environmental structure to shape its structure and function through constructive learning. (shrink)

Some philosophers of education think that there is a pedagogically informative concept of training that can be gleaned from Wittgenstein's later writings: training as initiation into a form of life. Stickney, in 'Training and Mastery of Techniques in Wittgenstein's Later Philosophy: A response to Michael Luntley'takes me to task for ignoring this concept. In this essay I argue that there is no such concept to be ignored. I start by noting recent developments in Wittgenstein scholarship that raise serious issues about (...) how we should handle the translation of Arbrichtung and arbrichten. I then concentrate on the substantive philosophical issues about the very idea that training can have a pedagogically productive role in education. I show that what work training does is a function of the prior skill set of the trainee. This means that we have to endorse some form of rationalism and acknowledge that the learner can only respond to training if they already possess sufficient mental equipment to generate the appropriate responses. (shrink)

Haikonen (2003) is an attempt to explicate a platform for modelling consciousness. The book sets out the foundational concepts behind Haikonen’s work in the area and proposes a particular modelling environment. This is developed in three parts: part 1 offers a brief analysis of the state of play in cognitive modelling; part 2 an extended treatment of the phenomena to be explained; part 3 promises a synthesis of the two preceding discussions to provide the necessary background and detail for the (...) proposed modelling environment. This final part covers a broad range of technical details from the nature of the representational-computational economy instantiated, to the control of motor output, to the means of implementing emotions in artefacts. Haikonen proposes an environment based on a distributed representational economy, instantiated in a neural network architecture and trained using associative learning regimes, but which also has symbolic processing abilities to handle the critical task of generating inner language. (shrink)

Theories concerning the structure, or format, of mental representation should (1) be formulated in mechanistic, rather than metaphorical terms; (2) do justice to several philosophical intuitions about mental representation; and (3) explain the human capacity to predict the consequences of worldly alterations (i.e., to think before we act). The hypothesis that thinking involves the application of syntax-sensitive inference rules to syntactically structured mental representations has been said to satisfy all three conditions. An alternative hypothesis is that thinking requires the construction (...) and manipulation of the cognitive equivalent of scale models. A reading of this hypothesis is provided that satisfies condition (1) and which, even though it may not fully satisfy condition (2), turns out (in light of the frame problem) to be the only known way to satisfy condition (3). (shrink)

Neuroscience and cognitive science seek to explain behavioral regularities in terms of underlying mechanisms. An important element of a mechanistic explanation is a characterization of the operations of the parts of the mechanism. The challenge in characterizing such operations is illustrated by an example from the history of physiological chemistry in which some investigators tried to characterize the internal operations in the same terms as the overall physiological system while others appealed to elemental chemistry. In order for biochemistry to become (...) successful, researchers had to identify a new level of operations involving operations over molecular groups. Existing attempts at mechanistic explanation of behavior are in a situation comparable to earlier approaches to physiological chemistry, drawing their inspiration either from overall psychology activities or from low-level neural processes. Successful mechanistic explanations of behavior require the discovery of the appropriate component operations. Such discovery is a daunting challenge but one on which success will be beneficial to both behavioral scientists and cognitive and neuroscientists. (shrink)

Artificial intelligence, conceived either as an attempt to provide models of human cognition or as the development of programs able to perform intelligent tasks, is primarily interested in theuses of language. It should be concerned, therefore, withpragmatics. But its concern with pragmatics should not be restricted to the narrow, traditional conception of pragmatics as the theory of communication (or of the social uses of language). In addition to that, AI should take into account also the mental uses of language (in (...) reasoning, for example) and the existential dimensions of language as a determiner of the world we (and our computers) live in. In this paper, the relevance of these three branches of pragmatics-sociopragmatics, psychopragmatics, and ontopragmatics-for AI are explored. (shrink)

The frame problem is the problem of how we selectively apply relevant knowledge to particular situations in order to generate practical solutions. Some philosophers have thought that the frame problem can be used to rule out, or argue in favor of, a particular theory of belief states. But this is a mistake. Sentential theories of belief are no better or worse off with respect to the frame problem than are alternative theories of belief, most notably, the “map” theory of belief.

Given (1) Wittgensteins externalist analysis of the distinction between following a rule and behaving in accordance with a rule, (2) prima facie connections between rule-following and psychological capacities, and (3) pragmatic issues about training, it follows that most, even all, future artificially intelligent computers and robots will not use language, possess concepts, or reason. This argument suggests that AIs traditional aim of building machines with minds, exemplified in current work on cognitive robotics, is in need of substantial revision.

It is generally accepted that there is something special about reasoning by using mental images. The question of how it is special, however, has never been satisfactorily spelled out, despite more than thirty years of research in the post-behaviorist tradition. This article considers some of the general motivation for the assumption that entertaining mental images involves inspecting a picture-like object. It sets out a distinction between phenomena attributable to the nature of mind to what is called the cognitive architecture, and (...) ones that are attributable to tacit knowledge used to simulate what would happen in a visual situation. With this distinction in mind, the paper then considers in detail the widely held assumption that in some important sense images are spatially displayed or are depictive, and that examining images uses the same mechanisms that are deployed in visual perception. I argue that the assumption of the spatial or depictive nature of images is only explanatory if taken literally, as a claim about how images are physically instantiated in the brain, and that the literal view fails for a number of empirical reasons – for example, because of the cognitive penetrability of the phenomena cited in its favor. Similarly, while it is arguably the case that imagery and vision involve some of the same mechanisms, this tells us very little about the nature of mental imagery and does not support claims about the pictorial nature of mental images. Finally, I consider whether recent neuroscience evidence clarifies the debate over the nature of mental images. I claim that when such questions as whether images are depictive or spatial are formulated more clearly, the evidence does not provide support for the picture-theory over a symbol-structure theory of mental imagery. Even if all the empirical claims were true, they do not warrant the conclusion that many people have drawn from them: that mental images are depictive or are displayed in some (possibly cortical) space. Such a conclusion is incompatible with what is known about how images function in thought. We are then left with the provisional counterintuitive conclusion that the available evidence does not support rejection of what I call the “null hypothesis”; namely, that reasoning with mental images involves the same form of representation and the same processes as that of reasoning in general, except that the content or subject matter of thoughts experienced as images includes information about how things would look. (shrink)

There is often substantial disparity between philosophical ideals and scientific practice. Philosophical reductionism is motivated by a drive for ontological austerity. The vehicle is conceptual parsimony: the fewer our conceptual primitives, the less are our ontological commitments. A general moral to be drawn from my “Functionalism and Reductionism” is that scientific reduction does not, and should not be expected to, facilitate conceptual economy; yet reduction it still is, and in the classical mold. Those who press for the irreducibility of a (...) functional psychology have been seduced by an inadequate account of scientific reduction. Patricia Kitcher is unhappy with my argument because it fails to live up to her philosophical ideals. “The claim that psychology is irreducible to neurophysiology,” she suggests, “rests to a large extent on the fact that, even in principle, neurophysiology is not capable of carrying out the explanatory work of a functional psychology”. (shrink)

I briefly review the three basic strategies for naturalizing intentionality discussed by Haugeland 4:383–427, 1990, and Hutto and Satne, recounting their deficits. Then, I focus on Dennett’s version of what Haugeland calls the “second-base … neo-behaviorist” strategy. After briefly explaining Dennett’s proposal, I defend it against four common objections: circularity, relativity, under-specified rationality, and failure to track robustly natural facts. I conclude by recounting the advantages of Dennettian neo-behaviorism over the neo-Cartesian and neo-pragmatist alternatives, as well as Hutto and Satne’s (...) proposal that intentionality comes in two distinct kinds. (shrink)

The traditional view of symbol grounding seeks to connect an a priori internal representation or ‘form’ to its external referent. But such a ‘form’ is usually itself systematically composed out of more primitive parts, so this view ignores its grounding in the physics of the world. Some previous work simulating multiple talking/listening agents has effectively taken this stance, and shown how a shared discrete speech code can emerge. Taking the earlier work of Oudeyer, we have extended his model to include (...) a dispersive force intended to account broadly for a speaker’s motivation to increase auditory distinctiveness. New simulations show that vowel systems result that are more representative of the range seen in human languages. These simulations make many profound abstractions and assumptions. Relaxing these by including more physically and physiologically realistic mechanisms for talking and listening is seen as the key to replicating more complex and dynamic aspects of speech, such as consonant-vowel patterning. (shrink)

Christopher Winch; Reading and the Process of Reading, Journal of Philosophy of Education, Volume 23, Issue 2, 30 May 2006, Pages 303–315, https://doi.org/10.11.

We argue that one important aspect of the “cognitive neuroscience revolution” identified by Boone and Piccinini :1509–1534. doi: 10.1007/s11229-015-0783-4, 2015) is a dramatic shift away from thinking of cognitive representations as arbitrary symbols towards thinking of them as icons that replicate structural characteristics of their targets. We argue that this shift has been driven both “from below” and “from above”—that is, from a greater appreciation of what mechanistic explanation of information-processing systems involves, and from a greater appreciation of the problems (...) solved by bio-cognitive systems, chiefly regulation and prediction. We illustrate these arguments by reference to examples from cognitive neuroscience, principally representational similarity analysis and the emergence of dynamical models as a central postulate in neurocognitive research. (shrink)

Turing's analysis of computation is a fundamental part of the background of cognitive science. In this paper it is argued that a re‐interpretation of Turing's work is required to underpin theorizing about cognitive architecture. It is claimed that the symbol systems view of the mind, which is the conventional way of understanding how Turing's work impacts on cognitive science, is deeply flawed. There is an alternative interpretation that is more faithful to Turing's original insights, avoids the criticisms made of the (...) symbol systems approach and is compatible with the growing interest in agent‐environment interaction. It is argued that this interpretation should form the basis for theories of cognitive architecture. (shrink)

It seems obvious that our beliefs are logically imperfect in two ways: they are neither deductively closed nor logically consistent. But this common-sense truism has been judged erroneous by some philosophers in the light of various arguments. In defence of common sense I consider and rebut interpretative arguments for logical perfection and show that the assumption espoused by common sense is theoretically superior, and capable - unlike its rival - of accounting for the informativeness of mathematics. Finally, I suggest that (...) common sense opens the way to genuine disputes about the correct logic. (shrink)