Evolutionary epistemology takes various forms. As a philosophical discipline, it may use analogies by borrowing concepts from evolutionary biology to establish new foundations. This is not a very successful enterprise because the analogies involved are so weak that they hardly have explanatory force. It may also veil itself with the garbs of biology. Proponents of this strategy have only produced irrelevant theories by transforming epistemology's concepts beyond recognition. Sensible theories about “knowledge and biology” should presuppose that various long-standing problems concerning (...) relations between the mental and the physical are solved. Such problems are wrongly disregarded by evolutionary epistemologists. (shrink)

This study addresses the dynamical nature of a “representation‐hungry” cognitive task involving an imagined action. In our experiment, participants were handed rods that systematically increased or decreased in length on subsequent trials. Participants were asked to judge whether or not they thought they could reach for a distant object with the hand‐held rod. The results are in agreement with a dynamical model, extended from Tuller, Case, Ding, and Kelso (1994). The dynamical effects observed in this study suggest that predictive judgments (...) regarding the possibility or impossibility of a certain action can be understood in terms of dynamically evolving basins of attraction instead of as depending on representational structures. (shrink)

A taped conversational interview with Daniel Dennett and Bill Uzgalis covers a wide range of topics arising from Dennett’s thoughts about computing and human beings. The background of Dennett’s work is explored as are his views about mind-brain identity theory, artificial intelligence, functionalism, human exceptionalism, animal culture, language, pain, freedom and determinism, and quality of life.

A naturalistic scheme of primitive conceptual representations is proposed using the statistical measure of mutual information. It is argued that a concept represents, not the class of objects that caused its tokening, but the class of objects that is most likely to have caused it (had it been tokened), as specified by the statistical measure of mutual information. This solves the problem of misrepresentation which plagues causal accounts, by taking the representation relation to be determined via ordinal relationships between conditional (...) probabilities. The scheme can deal with statistical biases and does not rely on arbitrary criteria. Implications for the theory of meaning and semantic content are addressed. (shrink)

This non-article explores the limitations of applying brain science in “higher” disciplines. Many brain scientists believe that it is only a matter of time that everything human will be accounted for by the findings of brain science. Michael Polányi in the nineteen-sixties and recently Michael Gazzaniga argued against such determinism. They say that while “lower-level” processes constrain “higher-level” ones, they cannot determine them. The human mind is an emergent process, and it cannot be predicted from brain structure anymore than traffic (...) can be predicted from the structure of a car. I claim that in many instances, the application of brain science in psychology and literary studies merely re-states in brain-language what has already been said in psychology-language or literature-language. It can, however, be fruitfully applied when it refutes prevalent erroneous assumptions or resolves certain incongruities in the domain of “higher” disciplines. (shrink)

It is argued that the only response to the mereological objections of the ordinary language philosopher available to the scientistic philosopher of mind requires the adoption of the view that ordinary psychological talk is theoretical and falsified by the findings of brain science. The availability of this sort of response produces a kind of stalemate between these opposed views and viewpoints: the claim that attribution of psychological predicates to parts of organisms is nonsense is met with the claim that it (...) is only nonsensical if our ordinary ways of talking are – naively – taken to be sacrosanct. The aim of the paper is to show that the ordinary language philosopher has a reply here that the scientistic philosopher is not in a position to ignore. Namely, that the only way to resist mereological objections is to adopt conceptions of personhood that are inimical to naturalistic accounts of mentality. (shrink)

In this paper, I develop an account of linguistic content based on the active inference framework. While ecological and enactive theorists have rightly rejected the notion of content as a basis for cognitive processes, they must recognize the important role that it plays in the social regulation of linguistic interaction. According to an influential theory in philosophy of language, normative inferentialism, an utterance has the content that it has in virtue of its normative status, that is, in virtue of the (...) set of commitments and entitlements that the speaker undertakes by producing this utterance. This normative status is determined by the normative attitudes shared by members of the utterer’s linguistic community. I propose here an account of such normative attitudes based on the ecological interpretation of the active inference framework. I explain how social normativity can be understood in that framework as the way in which members of a group shape their social niche to make it more predictable. Finally, I apply this account of social normativity to basic communicative practices, thereby explaining how social normative expectations can emerge to regulate these communicative practices, eventually leading to the institution of the sort of normative statuses constitutive of linguistic content. (shrink)

We propose a mentalistic and nativist view of human early mental and social life and of the ontogeny of mindreading. We define the mental state of sharedness as the primitive, one-sided capability to take one's own mental states as mutually known to an i nteractant. We argue that this capability is an innate feature of the human mind, which the child uses to make a subjective sense of the world and of her actions. We argue that the child takes all (...) of her mental states as shared with her caregivers. This a llows her to interact with her caregivers in a mentalistic way from the very beginning and provides the grounds on which the later maturation of mindreading will build. As the latter process occurs, the child begins to understand the mental world in terms of differences between the mental states of different agents; subjectively, this also corresponds to the birth of privateness. ? (shrink)

In this response, we consider four main issues arising from the commentaries to the target article. These include further details of the theory of interactive specialization, the relationship between neuroconstructivism and selectionism, the implications of neuroconstructivism for the notion of representation, and the role of genetics in theories of development. We conclude by stressing the importance of multidisciplinary approaches in the future study of cognitive development and by identifying the directions in which neuroconstructivism can expand in the Twenty-first Century.

It is commonly argued that the rules of language, as distinct from its semantic features, are the characteristics which most clearly distinguish language from the communication systems of other species. A number of linguists (e.g., Chomsky 1972, 1980; Pinker 1994) have suggested that the universal features of grammar (UG) are unique human adaptations showing no evolutionary continuities with any other species. However, recent summaries of the substantive features of UG are quite remarkable in the very general nature of the features (...) proposed. While the syntax of any given language can be quite complex, the specific rules vary so much between languages that the truly universal (i.e. innate) aspects of grammar are not complex at all. In fact, these features most closely resemble a set of general descriptions of our richly complex semantic cognition, and not a list of specific rules. General principles of the evolutionary process suggest that syntax is more properly understood as an emergent characteristic of the explosion of semantic complexity that occurred during hominid evolution. It is argued that grammatical rules used in given languages are likely to be simply conventionalized, invented features of language, and not the result of an innate, grammar-specific module. The grammatical and syntactic regularities that are found across languages occur simply because all languages attempt to communicate the same sorts of semantic information. (shrink)

Early agreement within cognitive science on the topic of representation has now given way to a combination of positions. Some question the significance of representation in cognition. Others continue to argue in favor, but the case has not been demonstrated in any formal way. The present paper sets out a framework in which the value of representation use can be mathematically measured, albeit in a broadly sensory context rather than a specifically cognitive one. Key to the approach is the use (...) of Bayesian networks for modeling the distal dimension of sensory processes. More relevant to cognitive science is the theoretical result obtained, which is that a certain type of representational architecture is necessary for achievement of sensory efficiency. While exhibiting few of the characteristics of traditional, symbolic encoding, this architecture corresponds quite closely to the forms of embedded representation now being explored in some embedded/embodied approaches. It becomes meaningful to view that type of representation use as a form of information recovery. A formal basis then exists for viewing representation not so much as the substrate of reasoning and thought, but rather as a general medium for efficient, interpretive processing. (shrink)

We argue that existing learning algorithms are often poorly equipped to solve problems involving a certain type of important and widespread regularity that we call “type-2 regularity.” The solution in these cases is to trade achieved representation against computational search. We investigate several ways in which such a trade-off may be pursued including simple incremental learning, modular connectionism, and the developmental hypothesis of “representational redescription.”.

The historical debate on representation in cognitive science and neuroscience construes representations as theoretical posits and discusses the degree to which we have reason to posit them. We reject the premise of that debate. We argue that experimental neuroscientists routinely observe and manipulate neural representations in their laboratory. Therefore, neural representations are as real as neurons, action potentials, or any other well-established entities in our ontology.

Can theories of mental imagery, conscious mental contents, developed within cognitive science throw light on the obscure (but culturally very significant) concept of imagination? Three extant views of mental imagery are considered: quasi‐pictorial, description, and perceptual activity theories. The first two face serious theoretical and empirical difficulties. The third is (for historically contingent reasons) little known, theoretically underdeveloped, and empirically untried, but has real explanatory potential. It rejects the “traditional” symbolic computational view of mental contents, but is compatible with recentsituated (...) cognition and active visionapproaches in robotics. This theory is developed and elucidated. Three related key aspects of imagination (non‐discursiveness, creativity, and seeing as) raise difficulties for the other theories. Perceptual activity theory presents imagery as non‐discursive and relates it closely to seeing as. It is thus well placed to be the basis for a general theory of imagination and its role in creative thought. (shrink)

Substrate independence and mind-body functionalism claim that thinking does not depend on any particular kind of physical implementation. But real-world information processing depends on energy, and energy depends on material substrates. Biological evidence for these claims comes from ecology and neuroscience, while computational evidence comes from neuromorphic computing and deep learning. Attention to energy requirements undermines the use of substrate independence to support claims about the feasibility of artificial intelligence, the moral standing of robots, the possibility that we may be (...) living in a computer simulation, the plausibility of transferring minds into computers, and the autonomy of psychology from neuroscience. (shrink)

This paper explores the relationship between the questioning attitude of wondering and a class of attitudes I call 'epistemic desires'. Broadly, these are desires to improve one's epistemic position on some question. A common example is the attitude of wanting to know the answer to some question. I argue that one can have any kind of epistemic desire towards any question, Q, without necessarily wondering Q, but not conversely. That is, one cannot wonder Q without having at least some epistemic (...) desire directed towards Q. I defend this latter claim from apparent counterexamples due to Friedman (2013) and Drucker (2022), and finish with a proposal on which epistemic desires, particularly the desire for understanding, play an explanatory role in distinguishing wondering from other forms of question-directed thought. (shrink)

This paper considers Davidson's (1963) arguments for construing reasons as causes and attempts to show that he has failed to provide positive reasons for introducing causation into his analysis of rationalizing explanation. I consider various ways of spelling out his intuition that something is missing from explanation if we consider only the justificatory relation between reasons and action, and I argue that to the extent that there is anything missing, it should not be provided by construing reasons as causes. What (...) is ostensibly missing, and what I think Davidson is after, is some kind of determinate relation between explanans and explanandum. I argue that this is too strong a requirement to place on rationalizing explanation. (shrink)

This paper considers Davidson's (1963) arguments for construing reasons as causes and attempts to show that he has failed to provide positive reasons for introducing causation into his analysis of rationalizing explanation. I consider various ways of spelling out his intuition that something is missing from explanation if we consider only the justificatory relation between reasons and action, and I argue that to the extent that there is anything missing, it should not be provided by construing reasons as causes. What (...) is ostensibly missing, and what I think Davidson is after, is some kind of determinate relation between explanans and explanandum. I argue that this is too strong a requirement to place on rationalizing explanation. (shrink)

The ecological approach to object pretend play, developed from the ecological perspective, suggests an action- and affordance based perspective to account for pretend object play. Theoretical, as well as empirical reasons, support the view that children in pretense incorporate objects into their play in a resourceful and functionally appropriate way based on the perception of affordances. Therefore, in pretense children are not distorting reality but rather, they are perceiving and acting upon action possibilities. In this paper, we argue for the (...) viability of an ecological theoretical framework to pretend object play which has been traditionally understood as a representational and metarepresentational ability. We discuss the origins and basic assumptions of the ecological approach to pretense. We layout details by presenting a qualitative analysis of a pretend play episode and discuss the results of an experimental study inspired by the ecological assumptions. We discuss pretend object play in the context of ecological work on tool use. We address the relationship between the enactive and the ecological approaches to pretend play, pointing out similarities as well as differences. We conclude that ecological and enactive approaches have shown that it is possible to challenge accepted interpretations and seek explanatory frameworks that could move the field in new directions. (shrink)

I examine the abstraction/representation theory of computation put forward by Horsman et al., connecting it to the broader notion of modeling, and in particular, model-based explanation, as considered by Rosen. I argue that the ‘representational entities’ it depends on cannot themselves be computational, and that, in particular, their representational capacities cannot be realized by computational means, and must remain explanatorily opaque to them. I then propose that representation might be realized by subjective experience, through being the bearer of the structure (...) of abstract objects that are represented. (shrink)

I argue that thoughts and concepts are mental representations rather than abstracta. I propose that the most important difference between the two views is that the mentalist believes that there are concept and thought tokens as well as types; this reveals that the dispute is not terminological but ontological. I proceed to offer an argument for mentalism. The key step is to establish that concepts and thoughts have lexical as well as semantic properties. I then show that this entails that (...) concepts and thoughts are susceptible to the type/token distinction. I finish by considering some objections to the argument. (shrink)

It's a common idea in philosophy that we possess a peculiar kind of "phenomenal concept" by which we can think about our conscious states in "inner" and "direct" ways, as for example, when I attend to the way a current pain feels and think about this feeling as such. Such phenomenal ways of thinking figure in a variety of theoretical contexts. The bulk of this article discusses their use in a certain strategy – the phenomenal concept strategy – for defending (...) the physicalist view that conscious states are reducible to brain states. It also considers, more briefly, how phenomenal concepts have been used to defend dualism about consciousness, and how they have been used to explain our special access to our consciousness. It concludes with a discussion about whether, and in what more precise sense of the term, we at all possess "phenomenal concepts" of our conscious states. (shrink)

Imagism about Phenomenal Thought is (roughly) the view that there is some concept *Q* (for some sensory quality Q) that we can employ only while we experience the quality Q. I believe this view is theoretically significant, is or can be made intuitively appealing, and is explicitly or implicitly accepted by many contemporary philosophers However, there is no good reason to accept it. Or so I argue.

In recent years, many philosophers and scientists have argued or accepted that it is impossible to learn primitive sensory concepts like “blue” and “red”. This paper defends a more qualified picture. I try to show that some received characterisations of “learning” are nonequivalent and point towards different learning-nonlearning distinctions. And, on some ways of specifying such a distinction, it might be correct that we do not and cannot “learn” a concept of blue. But on other ways of specifying such a (...) distinction, we can and do sometimes “learn” a concept of blue from experiences of blue. The latter part of the argument connects with some traditional “abstractionist” views, and I defend the present claims in view of some widely circulated concerns about “abstracting” concepts from experience. I close with some reflections on how one might, in view of all this, think about “the learning-nonlearning distinction”. (shrink)

In recent years, many philosophers and scientists have argued or accepted that it is impossible to learn primitive sensory concepts like “blue” and “red”. This paper defends a more qualified picture. I try to show that some received characterisations of “learning” are nonequivalent and point towards different learning-nonlearning distinctions. And, on some ways of specifying such a distinction, it might be correct that we do not and cannot “learn” a concept of blue. But on other ways of specifying such a (...) distinction, we can and do sometimes “learn” a concept of blue from experiences of blue. The latter part of the argument connects with some traditional “abstractionist” views, and I defend the present claims in view of some widely circulated concerns about “abstracting” concepts from experience. I close with some reflections on how one might, in view of all this, think about “the learning-nonlearning distinction”. (shrink)

Social kinds are heterogeneous. As a consequence of this diversity, some authors have sought to identify and analyse different kinds of social kinds. One distinct kind of social kinds, however, has not yet received sufficient attention. I propose that there exists a class of social-computation-supporting kinds, or SCS-kinds for short. These SCS-kinds are united by the function of enabling computations implemented by social groups. Examples of such SCS-kinds arereimbursement form,US dollar bill,chair of the board. I will analyse SCS-kinds, contrast my (...) analysis with theories of institutional kinds, and discuss the benefits of investigating SCS-kinds. (shrink)

What is the relation between entailment and reasons for belief? In this paper, I discuss several answers to this question, and I argue that these answers all face problems. I then propose the following answer: for all propositions p1,...,pn and q, if the conjunction of p1,..., and pn entails q, then there is a reason against a person's both believing that p1,..., and that pn and believing the negation of q. I argue that this answer avoids the problems that the (...) other answers to this question face, and that it does not face any other problems either. I end by showing what the relation between deductive logic, reasons for belief and reasoning is if this answer is correct. (shrink)

Organisations are computing systems. The university’s sports centre is a computing system for managing sports teams and facilities. The tenure committee is a computing system for assigning tenure status. Despite an increasing number of publications in group ontology, the computational nature of organisations has not been recognised. The present paper is the first in this debate to propose a theory of organisations as groups structured for computing. I begin by describing the current situation in group ontology and by spelling out (...) the thesis in more detail. I then present the example of a sports centre to illustrate why one might intuitively think of organisations as computing systems. To substantiate the thesis, I introduce Piccinini’s restrictive analysis of physical computation. As I show, organisations meet all criteria for being computing systems. Organisations are structured groups with the function of manipulating medium-independent vehicles according to rules. Furthermore, I argue for the modal claim that this is a necessary feature of organisations. Having sketched the computational account of organisations, I compare it to other proposals in the literature. (shrink)

A central goal of contemporary cognitive science is the explanation of cognitive abilities or capacities. [Cummins 1983] During the last three decades a wide range of cognitive capacities have been subjected to careful empirical scrutiny. The adult's ability to produce and comprehend natural language sentences and the child's capacity to acquire a natural language were among the first to be explored. [Chomsky 1965, Fodor, Bever & Garrett 1974, Pinker 1989] There is also a rich literature on the ability to solve (...) mathematical problems [Greeno 1983], the ability to recognize objects visually [Rock 1983, Gregory 1970, Marr 1982], the ability to manipulate and predict the behavior of middle sized physical objects [McClosky 1983, Hayes 1985], and a host of others. (shrink)

The standard view of the function of reason is that it emerged to enable individuals to make better judgements and choices. Once individuals could think better, and once we had suitable communicative tools, individual reasoning acquired a public face; we reasoned together as well as privately, in our own mind. Hugo Mercier and Dan Sperber argue that this gets the story the wrong way around: reasoning evolved for public purposes: to persuade, negotiate, assess. Once it was established publically, perhaps it (...) acquired a private function too. With the exception of a few minor complaints, this evolutionary case is well made. However, Mercier and Sperber embed their evolutionary case within a modular view of the mind and suggest a modular view of public reasoning itself. While I find the evolutionary case persuasive, I am sceptical of the cognitive science framework. (shrink)

The notion of “intentionality” is much invoked in various foundational theories of meaning, being very often equated with “meaning”, “content” and “reference”. In this paper, I propose and develop a basic distinction between two concepts and, more fundamentally, properties of intentionality: intentionality-T and intentionality-C. Representationalism is then defined as the position according to which intentionality-T can be reduced to intentionality-C, in the form of representational states. Nonrepresentationalism is rejecting this reduction, and argues that intentionality-T is more fundamental than intentionality-C. Non-representationalism (...) allows for a new layered view of the relations between cognitive intentionality and linguistic intentionality; this view is presented at the end of the paper. (shrink)

One central debate in cognitive science is over imagery. Do images constitute, or constitute evidence for, a distinctive, depictive form of mental representation? The most sophisticated advocacy of this view has been developed by Kosslyn and his coworkers. This paper focuses on his position and argues (i) that though Kosslyn has not developed a satisfactory account of depiction, there is nothing in principle unintelligible about the idea of depictive neural representation, but (ii) Kosslyn's model of imagery rescues the intelligibility of (...) pictorialism at the cost of its explanatory power. (shrink)

If the computational theory of mind is right, then minds are realized by machines. There is an ordered complexity hierarchy of machines. Some finite machines realize finitely complex minds; some Turing machines realize potentially infinitely complex minds. There are many logically possible machines whose powers exceed the Church–Turing limit (e.g. accelerating Turing machines). Some of these supermachines realize superminds. Superminds perform cognitive supertasks. Their thoughts are formed in infinitary languages. They perceive and manipulate the infinite detail of fractal objects. They (...) have infinitely complex bodies. Transfinite games anchor their social relations. (shrink)

This article addresses the issue of objectivism vs constructivism in two areas,biology and cognitive science, which areintermediate between the natural sciences suchas physics (where objectivism is dominant) andthe human and social sciences (whereconstructivism is widespread). The issues inbiology and in cognitive science are intimatelyrelated; in each of these twin areas, the objectivism vs constructivism issue isinterestingly and rather evenly balanced; as aresult, this issue engenders two contrastingparadigms, each of which has substantialspecific scientific content. The neo-Darwinianparadigm in biology is closely resonant (...) withthe classical cognitivist paradigm in cognitivescience, and both of them are intrinsicallyobjectivist. The organismic paradigm inbiology, based on the concept of autopoiesis,is consonant with the paradigm of enaction incognitive science; the latter paradigms are bothprofoundly constructivist.In cognitive science, the objectivism vsconstructivism issue is internal to thescientific field itself and reflexivity isinescapable. At this level, strong ontologicalobjectivism is self-contradictory and thereforeuntenable. Radical constructivism isself-coherent; but it also rehabilitatesa weak form of objectivism as a pragmaticallyviable alternative. In conclusion, there is aneven-handed reciprocity between objectivistand constructivist perspectives. Finally, thearticle examines the consequences of thisconclusion for fields other than cognitivescience: biology; physics and the naturalsciences; and the human and social sciences. (shrink)

This article analyzes the notion of background capacities as developed by John Searle during the last twenty years in philosophy of mind. Broadly construed, this notion designates non-representational mental capacities as the means by which mental representations are given a precise semantic content and thus are able to be expressed. Though novel and relevant, I intend to show that, according to Searle's description, this notion proves inadequate to attain its descriptive and explicative goals. I go on to regard background capacities (...) in a perspective both externalist and (minimally) representationalist. (shrink)

Davidson argues against the view that a theory of truth consists of two parts (a) a (reductive) theory of reference for the primitive terms of the language, And (b) a theory of how the semantics of complex expressions depends on the semantics of simple expressions. In this paper I argue that 1) davidson's case against reductive theories of reference fails: theories of reference of the sort defended by (e.G.,) causal theorists are possible, And 2) davidson's attempts to defend the centrality (...) of tarskian theories of truth while dispensing with theories of reference fails. (shrink)