Richard Rorty's rejection of prevailing interior-mirror understandings of the presumed relationship between “minds” and “nature,” along with his promotion of nonrepresentational accounts of knowledge, truth, and science, participates in a rich tradition of jointly pragmatist and constructivist views that spans the twentieth century. This contribution to the symposium “Whatever Happened to Richard Rorty?” considers Rorty's complex and ambivalent relation to that tradition, particularly to the work of his American pragmatist predecessors, William James and John Dewey, and to subsequent pragmatist-constructivist antirepresentationalism (...) in contemporary science and technology studies (STS) and “4E” (embodied, embedded, extended, enactive) cognitive theory. A final section on Nicholas Gaskill's contribution to the symposium questions his sense of Rorty's rhetorical recklessness and suggests that his worries over relativism, in Rorty's texts and more generally, are misplaced. (shrink)

Robert Cummins [(1996) Representations, targets and attitudes, Cambridge, MA: Bradford/MIT, p. 1] has characterized the vexed problem of mental representation as "the topic in the philosophy of mind for some time now." This remark is something of an understatement. The same topic was central to the famous controversy between Nicolas Malebranche and Antoine Arnauld in the 17th century and remained central to the entire philosophical tradition of "ideas" in the writings of Locke, Berkeley, Hume, Reid and Kant. However, the scholarly, (...) exegetical literature has almost no overlap with that of contemporary cognitive science. I show that the recurrence of certain deep perplexities about the mind is a systematic and pervasive pattern arising not only throughout history, but also in a number of independent domains today such as debates over visual imagery, symbolic systems and others. Such historical and contemporary convergences suggest that the fundamental issues cannot arise essentially from the theoretical guise they take in any particular case. (shrink)

This paper aims to expand the range of empirical work relevant to the extended cognition debates. First, I trace the historical development of the person-situation debate in social and personality psychology and the extended cognition debate in the philosophy of mind. Next, I highlight some instructive similarities between the two and consider possible objections to my comparison. I then argue that the resolution of the person-situation debate in terms of interactionism lends support for an analogously interactionist conception of extended cognition. (...) I argue that this interactionism might necessitate a shift away from the dominant agent-artifact paradigm toward an agent–agent paradigm. If this is right, then social and personality psychology—the discipline(s) that developed from the person-situation debate—opens a whole new range of empirical considerations for extended cognition theorists which align with Clark & Chalmers original vision of agents themselves as spread into the world. (shrink)

The proponents of embodied cognition often try to present their research program as the next step in the evolution of standard cognitive science. The domain of standard cognitive science is fairly clearly circumscribed (perception, memory, attention, language, problem solving, learning). Its ontological commitments, that is, its commitments to various theoretical entities, are overt: cognition involves algorithmic processes upon symbolic representations. As a research program, embodied cognition exhibits much greater latitude in subject matter, ontological commitment, and methodology than does standard cognitive (...) science. The proponents of embodied cognition to explain the aspects of human cognition are using the importance of embodied interaction with the environment, which is a dynamic relation. The cause of disagreement between these two approaches is regarding the role assumed by the notion of representation. The discussion about the contrast between embodied cognition and standard cognitive science is incomplete without Gibson’s ecological theory of perception and connectionist account of cognition. I will briefly contrast these important theories with computational view of cognition, highlighting the debate over role of representation. Embodied cognition has incorporated rather extensively a variety of insights emerging from research both in ecological psychology and in connectionism. The way I have followed to contrast embodied cognition with standard cognitive science, involves concentration on those several themes that appear to be prominent in the body of work that is often seen as illustrative of embodied cognition. This strategy has the advantage of postponing hard questions about “the” subject matter, ontological commitments, and methods of embodied cognition until more is understood about the particular interests and goals that embodied cognition theorists often pursue. This approach might show embodied cognition to be poorly unified, suggesting that the embodied cognition label should be abandoned in favor of several labels that reflect more accurately the distinct projects that have been clumped together under a single title. Alternatively, it might show that, in fact, there are some overarching commitments that bring tighter unity to the various bodies of work within embodied cognition that seem thematically only loosely related. The contrast between these two approaches is highlighted not only the basis of a priori argument but major experiments have been mentioned, to show the weight of the assumptions of both the contrasting approaches. (shrink)

The proponents of embodied cognition often try to present their research program as the next step in the evolution of standard cognitive science. The domain of standard cognitive science is fairly clearly circumscribed (perception, memory, attention, language, problem solving, learning). Its ontological commitments, that is, its commitments to various theoretical entities, are overt: cognition involves algorithmic processes upon symbolic representations. As a research program, embodied cognition exhibits much greater latitude in subject matter, ontological commitment, and methodology than does standard cognitive (...) science. The proponents of embodied cognition to explain the aspects of human cognition are using the importance of embodied interaction with the environment, which is a dynamic relation. The cause of disagreement between these two approaches is regarding the role assumed by the notion of representation. The discussion about the contrast between embodied cognition and standard cognitive science is incomplete without Gibson’s ecological theory of perception and connectionist account of cognition. I will briefly contrast these important theories with computational view of cognition, highlighting the debate over role of representation. Embodied cognition has incorporated rather extensively a variety of insights emerging from research both in ecological psychology and in connectionism. The way I have followed to contrast embodied cognition with standard cognitive science, involves concentration on those several themes that appear to be prominent in the body of work that is often seen as illustrative of embodied cognition. This strategy has the advantage of postponing hard questions about “the” subject matter, ontological commitments, and methods of embodied cognition until more is understood about the particular interests and goals that embodied cognition theorists often pursue. This approach might show embodied cognition to be poorly unified, suggesting that the embodied cognition label should be abandoned in favor of several labels that reflect more accurately the distinct projects that have been clumped together under a single title. Alternatively, it might show that, in fact, there are some overarching commitments that bring tighter unity to the various bodies of work within embodied cognition that seem thematically only loosely related. The contrast between these two approaches is highlighted not only the basis of a priori argument but major experiments have been mentioned, to show the weight of the assumptions of both the contrasting approaches. (shrink)

The sensorimotor theory of perception and consciousness is frequently presented as a variety of anti-representationalist cognitive science, and there is thus a temptation to suppose that those who take representation as bedrock should reject the approach. This paper argues that the sensorimotor approach is compatible with representationalism, and moreover that representationalism about phenomenal qualities, such as that advocated by Tye, would be more complete and less vulnerable to criticism if it incorporated the sensorimotor account of conscious feel. The paper concludes (...) by arguing that the project of naturalizing phenomenal qualities would nonetheless be better served by abandoning ‘representation’ talk altogether, a move that would require only a small modification of existing representationalist accounts. (shrink)

The complex systems approach to cognitive science invites a new understanding of extended cognitive systems. According to this understanding, extended cognitive systems are heterogenous, composed of brain, body, and niche, non-linearly coupled to one another. This view of cognitive systems, as non-linearly coupled brain–body–niche systems, promises conceptual and methodological advances. In this article we focus on two of these. First, the fundamental interdependence among brain, body, and niche makes it possible to explain extended cognition without invoking representations or computation. Second, (...) cognition and conscious experience can be understood as a single phenomenon, eliminating fruitless philosophical discussion of qualia and the so-called hard problem of consciousness. What we call “extended phenomenological-cognitive systems” are relational and dynamical entities, with interactions among heterogeneous parts at multiple spatial and temporal scales. (shrink)

Embodied Cognition is an approach to cognition that departs from traditional cognitive science in its reluctance to conceive of cognition as computational and in its emphasis on the significance of an organism's body in how and what the organism thinks. Three lines of embodied cognition research are described and some thoughts on the future of embodied cognition offered.

Prominent defenders of the extended cognition thesis have looked to evolutionary theory for support. Roughly, the idea is that natural selection leads one to expect that cognitive strategies should exploit the environment, and exploitation of the right sort results in a cognitive system that extends beyond the head of the organism. I argue that proper appreciation of evolutionary theory should create no such expectation. This leaves open whether cognitive systems might in fact bear a relationship to the environment that leads (...) to their extension. *Received July 2009; revised January 2010. †To contact the author, please write to: Department of Philosophy, 5185 Helen C. White Hall, 600 North Park Street, University of Wisconsin, Madison, WI 53706; e‐mail: [email protected]. (shrink)

This paper re-addresses Quine's indeterminacy of translation/inscrutability of reference thesis, as a problem for cognitive theories of content. In contradistinction with Quine's behavioristic semantics, theories of meaning, or content, in the cognitivist tradition endorse intentional realism, and are prone to be unsympathetic to Quine's thesis. Yet, despite this fundamental difference, I argue that they are just as vulnerable to the indeterminacy. I then argue that the vulnerability is rooted in a theoretical commitment tacitly shared with Quine, namely, the commitment to (...) the view that the perceptual input to the cognitive system is extensional - differentiating objects, but not the aspects (or, properties) they manifest. Thus, input extensionalism, and not behaviorism, is what forces the indeterminacy. I conclude by suggesting that the solution to Quine's indeterminacy problem hinges on the elaboration of an intensional theory of perceptual input, and of content in general. (shrink)

Many who advocate dynamical systems approaches to cognitive science believe themselves committed to the thesis of extended cognition and to the rejection of representation. I argue that this belief is false. In part, this misapprehension rests on a warrantless re-conception of cognition as intelligent behavior. In part also, it rests on thinking that conceptual issues can be resolved empirically. Once these issues are sorted out, the way is cleared for a dynamical systems approach to cognition that is free to retain (...) the standard conception of cognition as taking place in the head, and over representations. (shrink)

In this essay I offer a theory of the outward directedness of intentional states, namely, an account of what makes intentional states directed at their respective intentional objects. The theory is meant to be complementary to the canonical interactivist account of mental content in that the latter emphasizes the predicative, intensional, and internal aspects of representation whereas here I shall focus on its denotative, extensional, and external aspects. Thus, the aim is to establish that the two projects are not only (...) consistent but mutually supportive. Further, it is hoped that supplementing the interactivist conception of representation with a theory of intentional directedness along such lines will increase its overall appeal to critical readers. Based on the core idea that the directedness of a representation is a function of the manner in which it is constructed within, and contributes to the ongoing unfolding of a dynamical interactive loop connecting information to focused action, the theory is subsequently extended to cover many problem domains familiarly associated with representation and reference. (shrink)

Embedded and embodied approaches to cognition urge that (1) complicated internal representations may be avoided by letting features of the environment drive behavior, and (2) environmental structures can play an enabling role in cognition, allowing prior cognitive processes to solve novel tasks. Such approaches are thus in a natural position to oppose the ‘thesis of linguistic structuring’: The claim that the ability to use language results in a wholesale recapitulation of linguistic structure in onboard mental representation. Prominent examples of researchers (...) adopting this critical stance include Andy Clark, Michael Wheeler, and Mark Rowlands. But is such opposition warranted? Since each of these authors advocate accounts of mental representation that are broadly connectionist, I survey research on formal language computation in artificial neural networks, and argue that results indicate a strong form of the linguistic structuring thesis is true: Internal representational systems recapitulate significant linguistic structure, even on a connectionist account of mental representation. I conclude by sketching how my conclusion can nonetheless be viewed as consistent with and complimentary to an embedded/embodied account of the role of linguistic structure in cognition. (shrink)

Discussion about the application of scientific knowledge in robotics in order to build people helpers is widespread. The issue herein addressed is philosophically poignant, that of robots that are “people”. It is currently popular to speak about robots and the image of Man. Behind this lurks the dialogical mind and the questions about the significance of an artificial version of it. Without intending to defend or refute the discourse in favour of ‘recreating’ Man, a lesser familiar question is brought forth: (...) “and what if we were capable of creating a very convincible replica of man (constructing a robot-person), what would the consequences of this be and would we be satisfied with such technology?” Thorny topic; it questions the entire knowledge foundation upon which strong AI/Robotics is positioned. The author argues for improved monitoring of technological progress and thus favours implementing weaker techniques. (shrink)

Three facts are widely thought to be key to the characterization of human cognitive uniqueness (though a number of other factors are often cited as well): (a) humans are sophisticated cultural learners; (b) humans often rely on mental states with rich representational contents; and (c) humans have the ability and disposition to make and use tools. This article argues that (a)–(c) create a positive feedback loop: Sophisticated cultural learning makes possible the manufacture of tools that increase the sophistication of representational (...) decision-making, which in turn allows for yet further increases in the sophistication of cultural learning and tool manufacture. (shrink)

The raison d’être of this article is that many a spry-eyed analyst of the works in intelligent computing and robotics fail to see the essential concerning applications development, that of expressing their ultimate goal. Alternatively, they fail to state it suitably for the lesser-informed public eye. The author does not claim to be able to remedy this. Instead, the visionary investigation offered couples learning and computing with other related fields as part of a larger spectre to fully simulate people in (...) their embodied image. For the first time, the social roles attributed to the technical objects produced are questioned, and so with a humorous illustration. (shrink)

Brette contends that the neural coding metaphor is an invalid basis for theories of what the brain does. Here, we argue that it is an insufficient guide for building an artificial intelligence that learns to accomplish short- and long-term goals in a complex, changing environment.

An intuitive view is that creativity involves bringing together what is already known and familiar in a way that produces something new. In cognitive science, this intuition is typically formalized in terms of computational processes that combine or associate internally represented information. From this computationalist perspective, it is hard to imagine how non-representational approaches in embodied cognitive science could shed light on creativity, especially when it comes to abstract conceptual reasoning of the kind scientists so often engage in. The present (...) article offers an entry point to addressing this challenge. The scientific project of embodied cognitive science is a continuation of work in the functionalist tradition in psychology developed over a century ago by William James and John Dewey, among others. The focus here is on how functionalist views on the nature of mind, thought, and experience offer an alternative starting point for cognitive science in general, and for the cognitive science of scientific creativity in particular. The result may seem paradoxical. On the one hand, the article claims that the functionalist conceptual framework motivates rejecting mainstream cognitive views of creativity as the combination or association of ideas. On the other hand, however, the strategy adopted here—namely, revisiting ideas from functionalist psychology to inform current scientific theorizing—can itself be described as a process of arriving at new, creative ideas from combinations of old ones. As is shown here, a proper understanding of cognition in light of the functionalist tradition resolves the seeming tension between these two claims. (shrink)

Since the automation revolution of our technological era, diverse machines or robots have gradually begun to reconfigure our lives. With this expansion, it seems that those machines are now faced with a new challenge: more autonomous decision-making involving life or death consequences. This paper explores the philosophical possibility of artificial moral agency through the following question: could a machine obtain the cognitive capacities needed to be a moral agent? In this regard, I propose to expose, under a normative-cognitive perspective, the (...) minimum criteria through which we could recognize an artificial entity as a genuine moral entity. Although my proposal should be considered from a reasonable level of abstraction, I will critically analyze and identify how an artificial agent could integrate those cognitive features. Finally, I intend to discuss their limitations or possibilities. (shrink)

In their article entitled “Ethical Particularism and Patterns”, Frank Jackson, Philip Pettit, and Michael Smith (JPS henceforth) argue that moral particularism is a cognitively implausible theory since it appears to entail the view that one might have a skill that is not grounded in an ability to recognise and represent natural patterns in the world. This charge echoes the complaints of computational theorists of cognition against their embodied cognition counterparts, namely that, theories of cognition that eschew talk of mental representation (...) are implausible qua theories of cognition. In both debates, the cognitive role of generalisation is central to the discussion; however, contrary to the received wisdom, I want to suggest that the dispute is not between generalisation or mental representation on the one hand and no generalisation or mental representation on the other, but rather between what I will call global and local generalisation. Using the dialogue between JPS and Dancy (our paradigm particularist) to frame this discussion, I show that by replacing Dancy's connectionist model for particularist reasoning with a case-based one, we not only vindicate his response to JPS, but we also gain insight into how it is the global/local distinction rather than the generalisation/no generalisation distinction that divides the two views. (shrink)

The ability to predict is the most importantability of the brain. Somehow, the cortex isable to extract regularities from theenvironment and use those regularities as abasis for prediction. This is a most remarkableskill, considering that behaviourallysignificant environmental regularities are noteasy to discern: they operate not only betweenpairs of simple environmental conditions, astraditional associationism has assumed, butamong complex functions of conditions that areorders of complexity removed from raw sensoryinputs. We propose that the brain's basicmechanism for discovering such complexregularities is implemented in (...) the dendritictrees of individual pyramidal cells in thecerebral cortex. Pyramidal cells have 5–8principal dendrites, each of which is capableof learning nonlinear input-to-outputtransfer functions. We propose that eachdendrite is trained, in learning its transferfunction, by all the other principal dendritesof the same cell. These dendrites teach eachother to respond to their separate inputs with matching outputs. Exposed to differentbut related information about the sensoryenvironment, principal dendrites of the samecell tune to functions over environmentalconditions that, while different, are correlated . As a result, the cell as awhole tunes to the source of the regularitiesdiscovered by the cooperating dendrites,creating a new representation. When organizedinto feed-forward/feedback layers, pyramidalcells can build their discoveries on thediscoveries of other cells, graduallyuncovering nature's hidden order. Theresulting associative network is powerfulenough to meet a troubling traditionalobjection to associationism: that it is toosimple an architecture to implement rationalprocesses. (shrink)

Despite its internal divisions and the uncertainty surrounding many of its foundations, there is a growing consensus that the on‐going search for an alternative model of the mind finds a minimal theoretical identity in the pursuit of an anti‐Cartesian conception of mental phenomena. Nevertheless, this anti‐Cartesianism remains more or less explicitly committed to the neo‐Brentanian idea that intentionality is an essential feature of the mental—an idea that has prevailed since the advent of modern cognitive science in the 1950s. An issue (...) of compatibility is thereby raised, as neo‐Brentanism arguably sides with cognitive Cartesianism. The main goal of the paper is to put into full light one specific aspect of this largely unperceived problem of compatibility by arguing that the neo‐Brentanian property of intentionality is an essentially representational one that runs counter to the salient anti‐representationalism of anti‐Cartesianism. And, that this representational essence confronts the search for alternative models of the mind of an anti‐Cartesian kind with the following theoretical issue: To what extent is it possible to devise a non‐Brentanian property of intentionality, particularly one that is fully dissociated from the property of representation? This issue is shown to be much deeper and more difficult than it looks once the nature of representation is properly apprehended; it seems to be still waiting for an answer in the current search for an alternative model of the mind, if only because it has not yet be set in fully adequate terms. (shrink)

The question of whether cognition requires representations has engendered heated discussion during the last two decades. I shall argue that the question is, in all likelihood, a spurious one. There may or may not be a fact of the matter concerning whether a given item qualifies as a representation. However, even if there is, attempts to establish whether cognition requires representation have neither practical nor theoretical utility.

A wave of recent work in metaphysics seeks to undermine the anti-reductionist, functionalist consensus of the past few decades in cognitive science and philosophy of mind. That consensus apparently legitimated a focus on what systems do, without necessarily and always requiring attention to the details of how systems are constituted. The new metaphysical challenge contends that many states and processes referred to by functionalist cognitive scientists are epiphenomenal. It further contends that the problem lies in functionalism itself, and that, to (...) save the causal significance of mind, it is necessary to re-embrace reductionism. We argue that the prescribed return to reductionism would be disastrous for the cognitive and behavioral sciences, requiring the dismantling of most existing achievements and placing intolerable restrictions on further work. However, this argument fails to answer the metaphysical challenge on its own terms. We meet that challenge by going on to argue that the new metaphysical skepticism about functionalist cognitive science depends on reifying two distinct notions of causality (one primarily scientific, the other metaphysical), then equivocating between them. When the different notions of causality are properly distinguished, it is clear that functionalism is in no serious philosophical trouble, and that we need not choose between reducing minds or finding them causally impotent. The metaphysical challenge to functionalism relies, in particular, on a naïve and inaccurate conception of the practice of physics, and the relationship between physics and metaphysics. Key Words: explanation; functionalism; mental causation; metaphysics; reductionism. (shrink)

Ladyman and Ross argue that analytic metaphysics is a misguided enterprise that should give way to a naturalized metaphysics that aims to reconcile everyday and special-scientific ontologies with fundamental physics as the authoritative source of knowledge on the general structure of the universe. Le Bihan and Barton (argue, as against this, that analytic metaphysics remains useful as a basis for the body of work in AI known as “applied ontology.” They stop short of claiming, however, that analytic metaphysics is useful (...) as metaphysics. I consider a basis for making the stronger claim: Smith's project for building what he claims to be metaphysical foundations for applied ontology (and for AI generally). Ultimately, the stronger claim is rejected; but in the course of this dialectic new aspects of the naturalistic metaphysical project come to light, including relationships between it and the traditional metaphysical project of providing foundations for philosophical semantics of truth and reference. (shrink)

It is common in the cognitive and computational sciences to regard virtual reality (VR) as composed of illusory experiences, given its immersive character. In this paper, we adopt an ecological-enactive perspective on cognition (Sect. 3) to evaluate the nature of VR and one’s engagement with it. Based on a post-cognitivist conception of illusion, we reject the commonly held assumption that virtual reality experiences (VREs) are illusory (Sect. 4). Our positive take on this issue is that VR devices, like other technological (...) devices, can be embodied during use, which is why they can be the source of experiences (Sect. 5). We then propose a new concept to interpret VREs, namely, _allusion_, which means that the subject acts _as if_ the virtual experiences are real (Sect. 6). This kind of engagement has a volitional aspect, which is evident in the onboarding of VR devices and which allows us to distinguish VREs from other experiences. We conclude that, even though we have experiences that afford certain interactions in VR, the strong continuity between cognitive and biological processes is not sustained therein. This characterizes a difference of kind—given the current state of technology—between VREs and fully fledged cognitive states, which nevertheless allows for constrained experimentation in cognitive science. (shrink)

In order to meet the explanatory challenge levelled against non-representationalist views on cognition, radical enactivists claim that cognition about potentially absent targets involves the socioculturally scaffolded capacity to manipulate public symbols. At a developmental scale, this suggests that higher cognition gradually emerges as humans begin to master language use, which takes place around the third year of life. If, however, it is possible to show that pre-linguistic infants represent their surroundings, then the radical enactivists’ explanation for the emergence of higher (...) cognition is defeated. In this paper, I critically assess experiments designed to show that pre-linguistic infants inherit representational abilities. I begin by outlining these experiments in Sect. 2. In Sect. 3, I argue that these experiments only succeed in supporting widespread representationalism by committing a particular kind of circular reasoning, which I call conjunctivist reasoning due to its origins in the debates about the nature of perception. I conclude by developing two independent yet congruent enactivist lines of interpretation for the experiments discussed in 2. I explain the infants’ responses to atypical experimental conditions based on agent-environment codetermination and then I argue that surprise behavior can be explained in terms of embodied habits and unfulfilled anticipation. (shrink)

En este texto se elabora un análisis historiográfico, filosófico y teórico en torno a diversas propuestas de caracterización, demarcación, y explicación de la conducta y la cognición. Asimismo, se construyen argumentos para favorecer una comprensión más integral y elaborada de los programas de investigación acerca de la conducta y la cognición. Con este fin, en la primera sección analizaremos y cuestionaremos tres mitos acerca de la historia de la psicología: la tesis de los paradigmas hegemónicos y los reemplazos revolucionarios, la (...) tesis de los paradigmas incomparables, y la tesis que exige un único paradigma dominante como requisito de cientificidad. Dado que estos mitos se derivan de ciertas ideas problemáticas de Kuhn, en la segunda sección ofreceremos una propuesta alternativa basada en la filosofía de la ciencia de Bunge. En las secciones tercera y cuarta exploraremos los significados de las palabras “conducta” y “cognición”, y su relevancia para corregir ciertos malentendidos que obstaculizan los debates entre los programas de investigación conductistas y cognitivos. En las secciones quinta y la sexta, discutiremos algunos mitos acerca del conductismo y del cognitivismo, y en la última sección ofreceremos algunas conclusiones sobre los temas abordados. Las herramientas que analizaremos permiten establecer un debate más racional entre programas de investigación científica, generar puentes de discusión y desarrollo teórico de una manera más integral y completa, y evitar caer tanto en el dogmatismo y la descalificación injustificada, como en las actitudes eclécticas. (shrink)

Computationalist theories of mind require brain symbols, that is, neural events that represent kinds or instances of kinds. Standard models of computation require multiple inscriptions of symbols with the same representational content. The satisfaction of two conditions makes it easy to see how this requirement is met in computers, but we have no reason to think that these conditions are satisfied in the brain. Thus, if we wish to give computationalist explanations of human cognition, without committing ourselvesa priori to a (...) strong and unsupported claim in neuroscience, we must first either explain how we can provide multiple brain symbols with the same content, or explain how we can abandon standard models of computation. It is argued that both of these alternatives require us to explain the execution of complex tasks that have a cognition-like structure. Circularity or regress are thus threatened, unless noncomputationalist principles can provide the required explanations. But in the latter case, we do not know that noncomputationalist principles might not bear most of the weight of explaining cognition. Four possible types of computationalist theory are discussed; none appears to provide a promising solution to the problem. Thus, despite known difficulties in noncomputationalist investigations, we have every reason to pursue the search for noncomputationalist principles in cognitive theory. (shrink)

This paper presents work in progress on artificial intelligence in medicine (AIM) within the larger context of cognitive science. It introduces and develops the notion ofemergence both as an inevitable evolution of artificial intelligence towards machine learning programs and as the result of a synergistic co-operation between the physician and the computer. From this perspective, the emergence of knowledge takes placein fine in the expert's mind and is enhanced both by computerised strategies of induction and deduction, and by software abilities (...) to dialogue, co-operate and function as a cognitive extension of the physician's intellectual capabilities. The proposed methodology gives the expert a prominent role which consists, first, of faithfully enunciating the descriptive features of his medical knowledge, thus giving the computer a precise description of his own perception of basic medicine, and secondly, of painstakingly gathering patients into computerised case bases which simulate exhaustive long-term memory. The AI capacities for knowledge elaboration are then triggered, giving rise to mathematically optimal diagnoses, prognoses, or treatment protocols which the physician may then evaluate, accept, reject, or adapt at his convenience, and finally append to a knowledge base. The idea of emergence embraces many issues concerning the purpose and intent of artificial intelligence in medical practice. Particularly, we address the representation problem as it is raised by classical decisional knowledge-based systems, and develop the notions of classifiers and hybrid systems as possible answers to this problem. Finally, since the whole methodology touches the problem of technological investment in health care, now inherent in modern medical practice, some ethical considerations accompany the exposé. (shrink)

Although radical forms of relativism are perhaps beyond the epistemological pale, I argue here that a more moderate form may be plausible, and articulate the conditions under which moderate epistemic relativism could well serve our epistemic goals. In particular, as a result of our limitations as human cognizers, we find ourselves needing to investigate the dappled and difficult world by means of competing communities of highly specialized researchers. We would do well, I argue, to admit of the existence of unresolvable (...) disputes between such communities, but only so long as there is a sufficient amount of fruitful exchange between them as well. I close with some speculation about when it is or is not legitimate to make an “appeal to discipline”: responding to another’s argument by saying something like, “we should do it this way, because we are philosophers (/linguists/psychologists/…), and that’s just what we do”. (shrink)

Enactivist (Embodied, Embedded, etc.) approaches in cognitive science and philosophy of mind are sometimes, though not always, conjoined with an anti-representational commitment. A weaker anti-representational claim is that ascribing representational content to internal/sub-personal processes is not compulsory when giving psychological explanations. A stronger anti-representational claim is that the very idea of ascribing representational content to internal/sub-personal processes is a theoretical confusion. This paper criticises some of the arguments made by Hutto & Myin (2013, 2017) for the stronger anti-representational claim and (...) suggests that the default Enactivist view should be the weaker non-representational position. (shrink)

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.

We are very happy that someone has finally tried to make sense of rationalization. But we are worried about the representational structure assumed by Cushman, particularly the “boxology” belief-desire model depicting the rational planner, and it seems to us he fails to accommodate many of the interpersonal aspects of representational exchange.

This article develops a framework for analysing how digital software and models become mediums for creative imagination in architectural design. To understand the hermeneutics of these relationships, we develop key concepts from Material Engagement Theory (MET) and Postphenomenology (PP). To push these frameworks into the realm of digital design, we develop the concept of Digital Materiality. Digital Materiality describes the way successive layers of mathematics, code, and software come to mediate enactive perception, and the possibilities of creative material engagement actualised (...) in work with software. Just as molecular materials come to transform action with material objects, so digital materiality comes to enable and transform creative practices with computers. Digital architectural design form a new space for ongoing enactive discovery and creativity through manipulation of digital models and their underlying software environments. By shifting relationships within their digital models, architects can direct their attention, intention, and imagination towards widely different aspects of the model. Here, creative imagination becomes a fundamentally situated activity where mind emerges through dynamic interaction between a variety of embodied, material, and cultural domains. (shrink)