One of the major divergences between dynamical systems theory and symbolism lies in their views on the role of representation in cognition. From the perspective of development, the cognitive development could be divided into three levels: sensorimotor, imagery representation and linguistic representation. It is claimed that representation is not a sufficient condition though it is necessary for cognition. However, it does not mean that the authors agree with the notion of strong coupling in dynamicism that completely rejects representation.

Book Description (Blurb): Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. -/- Beginning with an overview of the historical, methodological and technical issues in the field of Cognitively-Inspired Artificial Intelligence, (...) Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realise biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biologically and cognitive accuracy of artificial systems in order project and predict their explanatory power with respect to the natural systems taken as source of inspiration. -/- Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science. (shrink)

The mechanistic model depicts scientific explanations as involving the discovery of multi-level, organized components that constitute a target phenomenon. Meanwhile, sensorimotor enactivism purports to offer a scientifically informed account of perceptual experience as a skill-laden interactive relationship, constitutively involving both perceiver and world, rather than as an agent-bound representation of the world. Insofar as sensorimotor enactivism identifies an empirically tractable phenomenon – skillful agent-world interaction – and mechanistic explanation establishes the subpersonal components of this phenomenon, the two approaches allow for (...) a fruitful division of labor in investigating perceptual experience. On closer inspection, however, two challenges arise. First, the “representation challenge” arises because promising attempts to set out implementational details of our sensorimotor interaction with the world implicate cognitive representations, creating tension with sensorimotor enactivism’s nonrepresentational commitments. Second, the “reconstitution challenge” arises when mechanistic explanation not only uncovers the components of some established phenomenon but plays a role in “reconstituting” this phenomenon. This means that, through investigating mechanisms, perceptual experience may be reconceived such that its constituents are wholly organism-bound. We explore both challenges to the compatibility of mechanism and sensorimotor enactivism and examine possible solutions. The result is a clearer understanding of the tensions and opportunities for learning between the frameworks. (shrink)

This paper proposes to address the question of the legal status of artificial intelligence from a perspective that is unique to itself. Which means that, rather than attempting to place AI in the box of legal personhood—where many other nonhuman entities already reside, in a legal space where they are in a state of constant friction with humans—we will see whether these inhabitants can be placed in a different box: not that of legal personhood, but that of the intelligent machine. (...) I accordingly argue that we have made a mistake in not clearly maintaining the original separation between legal persons and human persons: this is how legal persons—particularly as the concept applies to corporations—have so far been claiming and gaining the rights ascribed to humans, on the basis of their personhood. AI instead suggests the need to work outside the framework of this fiction: it suggests that we should stop using the fiction of the person for something that is not a person in the first place and in the most original and primary sense of this word. I propose a different metaphor, the metaphor of the intelligent machine, to this end drawing on the work of Dan-Cohen, who advanced this metaphor to argue that it fits corporations better than the metaphor of the person. In conclusion, we should be able to see that this metaphor of the intelligent machine makes a better fit not only for corporations but also for AI and robotics. (shrink)

Embodied, embedded, enactive, and extended theorists do not typically focus on the ontological frameworks in which they develop their theories. One exception is 4E theories that embrace New Mechanism. In this paper, we endorse the New Mechanist’s general turn to ontology, but argue that their ontology is not the best on the market for 4E theories. Instead, we advocate for a different ontology: causal powers realism. Causal powers realism posits that psychological manifestations are the product of mental powers, and that (...) mental powers are empirically-discoverable features of individuals that account for the causal work those individuals do. We contend that causal powers realism provides a unifying framework for the central commitments of 4E theories, as well as additional resources for theorizing in a 4E framework. And while New Mechanism offers some of these resources as well, we argue that causal powers realism is ultimately the better of the two. (shrink)

The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal evidence (...) from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society. (shrink)

Since the noun phrase `artificial intelligence' (AI) was coined, it has been debated whether humans are able to create intelligence using technology. We shed new light on this question from the point of view of themodynamics and mathematics. First, we define what it is to be an agent (device) that could be the bearer of AI. Then we show that the mainstream definitions of `intelligence' proposed by Hutter and others and still accepted by the AI community are too weak even (...) to capture what is involved when we ascribe intelligence to an insect. We then summarise the highly useful definition of basic (arthropod) intelligence proposed by Rodney Brooks, and we identify the properties that an AI agent would need to possess in order to be the bearer of intelligence by this definition. Finally, we show that, from the perspective of the disciplines needed to create such an agent, namely mathematics and physics, these properties are realisable by neither implicit nor explicit mathematical design nor by setting up an environment in which an AI could evolve spontaneously. (shrink)

The problem of self-knowledge has been thoroughly discussed in the context of traditional epistemology. In parallel to the traditional approach to epistemology, Radically Embodied Cognitive Science (RECS) has emerged in the last 30 years as a genuine contender in its field. According to RECS, the unity of analysis of cognitive processes is the dynamics between brain, body and environment. In this paper, I advance a RECS approach to self-knowledge, which immediately suggests that knowing oneself is a matter of knowing what (...) one’s body can do. I then turn to resistance training, particularly weightlifting, and argue that it offers a paradigmatic case of self-knowledge in RECS’s terms. More precisely, resistance training allows the trainee to achieve knowledge of themselves in a fundamentally practical manner—and doing so is transformative of the kind of actions they are capable of. (shrink)

Within artificial intelligence and the philosophy of mind,there is considerable disagreement over the relationship between anagent's body and its capacity for intelligent behavior. Some treatthe body as peripheral and tangential to intelligence; others arguethat embodiment and intelligence are inextricably linked. Softwareagents–-computer programs that interact with software environmentssuch as the Internet–-provide an ideal context in which to studythis tension. I develop a computational framework for analyzingembodiment. The framework generalizes the notion of a body beyondmerely having a physical presence. My analysis sheds (...) light oncertain claims made about the relevance of the body to intelligence,as well as on embodiment in software worlds. (shrink)

This paper develops a hermeneutic technology assessment of quantum technologies. It offers a “vision assessment” of quantum technologies that can eventually lead to socio-ethical analysis. Section 2 describes this methodological approach and in particular the concept of the hermeneutic circle applied to technology. Section 3 gives a generic overview of quantum technologies and their impacts. Sections 4 and 5 apply the hermeneutic technology assessment approach to the study of quantum technologies. Section 5 proposes distinguishing three levels in the analysis of (...) the creation and communication of social meanings to quantum technologies: (a) fictions, (b) popularization, and (c) scientific journalism. Section 6 analyzes the results and defines some lines of action to increase social acceptance and trust in quantum technologies. The aim of this paper is to contribute to the debate on quantum technologies by enhancing the reflection on them and their potential, as well as illustrating the complexity of technological innovation and the need to shape it. (shrink)

How should accounts that stress the embodied, embedded and engaged character of human minds accommodate the role of rationality in human subjectivity? Drawing on Matthew Boyle’s contrast between ‘additive’ and ‘transformative’ conceptions of rationality, I argue that contemporary work on embodied cognition tends towards a problematic ‘additivism’ about the relationship between mature human capacities to think and act for reasons, and sensorimotor capacities to skillfully engage with salient features of the environment. Additivists view rational capacities to reason and reflect as (...) a distinct ‘layer’ or ‘storey’ of human cognition, with a normative structure that differs from that of the sensorimotor coping skills which support it. I argue that emphasizing the embodied and engaged character of human minds is better combined with a ‘transformative’ conception of rationality – one which holds that acquiring abilities to give and ask for reasons transforms the normative structure of our unreflective embodied dealings with the environment. And I argue that a transformative embodied cognitive science of human rationality is not only possible, but underway. Integrating existing work on embodied cognition with work on the cultural and developmental contexts that shape human minds suggests how human immersion in culture transforms the structure of sensorimotor engagements by bringing about the communicability and negotiability of the meanings to which those engagements attune us. (shrink)

Presented here is a review of the book by Michael Wooldridge The Road to Conscious Machines: The Story of AI. The book was published in 2021 by Pelican Publishing Company. The book presents a philosophical exploration of the AI-related quest to understand the essence of our minds, ethics, and consciousness. Nonetheless, the book is unconventional as it focuses on failures of past AI programs rather than on AI success stories. The author also indicates the possible pathways to develop new, more (...) efficient AI paradigms. The short technical section at the end of the book offers more in-depth information on topics like Prolog, Bayesian, and deep neural networks. (shrink)

Much of our everyday, embodied action comes in the form of smooth coping. Smooth coping is skillful action that has become habituated and ingrained, generally placing less stress on cognitive load than considered and deliberative thought and action. When performed with skill and expertise, walking, driving, skiing, musical performances, and short-order cooking are all examples of the phenomenon. Smooth coping is characterized by its rapidity and relative lack of reflection, both being hallmarks of automatization. Deliberative and reflective actions provide the (...) contrast case. In Dreyfus’ classic view, smooth coping is “mindless” absorption into action, being in the flow, and any reflective thought will only interrupt this flow. Building on the pragmatist account of Dewey, others, such as Sutton, Montero, and Gallagher, insist on the intelligent flexibility built into smooth coping, suggesting that it is not equivalent to automatization. We seek to answer two complementary challenges in this article. First, how might we model smooth coping in autonomous agents at fine granularity? Second, we use this model of smooth coping to show how we might implement smooth coping in artificial intelligent agents. We develop a conceptual model of smooth coping in LIDA. LIDA is an embodied cognitive architecture implementing the global workspace theory of consciousness, among other psychological theories. LIDA’s implementation of consciousness enables us to account for the phenomenology of smooth coping, something that few cognitive architectures would be able to do. Through the fine granular analysis of LIDA, we argue that smooth coping is a sequence of automatized actions intermittently interspersed with consciously mediated action selection, supplemented by dorsal stream processes. In other words, non-conscious, automatized actions often require occasional bursts of conscious cognition to achieve the skillful and flexible adjustments of smooth coping. In addition, never-conscious dorsal stream information and associated sensorimotor processes provide further online adjustments during smooth coping. To achieve smooth coping in LIDA we introduce a new module to the LIDA cognitive architecture the Automatized Action Selection sub-module. Our complex model of smooth coping borrows notions of “embodied intelligence” from enactivism and augments these by allowing representations and more detailed mechanisms of conscious control. We explore several extended examples of smooth coping, starting from basic activities like walking and scaling up to more complex tasks like driving and short-order cooking. (shrink)

The present chapter discusses the implications of virtual reality for the theory and practice of embodied cognitive science. The chapter discusses how recent technological innovations are poised to reshape our understanding of the materially-embodied and environmentally-situated mind, providing us with a new means of studying the mechanisms responsible for intelligent behavior. The chapter also discusses how a synthetically-oriented shift in our approach to embodied intelligence alters our view of familiar problems, most notably the distinction between embedded and extended cognition. The (...) chapter concludes by challenging the idea that virtual worlds ought to be seen as nothing more than a scientific ‘sandpit’ for the study of the embodied mind. Some forms of embodied intelligence can, I suggest, exist solely in virtual reality. In this sense, the ‘Matrix’ is not just a means of testing ideas about the forms of embodied intelligence that inhabit our own physical reality; it is also a means of creating entirely new forms of embodied intelligence. It is by building virtual worlds that we open the door to a new reality—one that is home to a potentially infinite variety of embodied, embedded, and perhaps even extended beings. (shrink)

I analyze the frame problem and its relation to other epistemological problems for artificial intelligence, such as the problem of induction, the qualification problem and the "general" AI problem. I dispute the claim that extensions to logic (default logic and circumscriptive logic) will ever offer a viable way out of the problem. In the discussion it will become clear that the original frame problem is really a fairy tale: as originally presented, and as tools for its solution are circumscribed by (...) Pat Hayes, the problem is entertaining, but incapable of resolution. The solution to the frame problem becomes available, and even apparent, when we remove artificial restrictions on its treatment and understand the interrelation between the frame problem and the many other problems for artificial epistemology. I present the solution to the frame problem: an adequate theory and method for the machine induction of causal structure. Whereas this solution is clearly satisfactory in principle, and in practice real progress has been made in recent years in its application, its ultimate implementation is in prospect only for future generations of AI researchers. (shrink)

Hutto and Myin famously argue that basic minds are not contentful and content exists only as far as it is scaffolded with social and linguistic practices. This view, however, rests on a troublesome distinction between basic and scaffolded minds. Since Hutto and Myin have to account for language purely in terms of joint action guidance, there is no reason why simpler communication systems, such as cellular signaling pathways, should not give rise to scaffolded content as well. This conclusion remains valid (...) even if one rejects the view of language as mediated through public symbols and embraces global antirepresentationalism. Content evolves spontaneously in complex regulatory systems, such as human, animal, and cellular communication. (shrink)

Active materials are self-propelled non-living entities which, in some circumstances, exhibit a number of cognitively interesting behaviors such as gradient-following, avoiding obstacles, signaling and group coordination. This has led to scientific and philosophical discussion of whether this may make them useful as minimal models of cognition (Hanczyc, 2014; McGivern, 2019). Batterman and Rice (2014) have argued that what makes a minimal model explanatory is that the model is ultimately in the same universality class as the target system, which underpins why (...) it exhibits the same macrobehavior. We appeal to recent research in basal cognition (Lyon et al., 2021) to establish appropriate target systems and essential features of cognition as a target of modeling. Looking at self-propelled oil droplets, a type of active material, we do not find that organization alone indicates that these systems exhibit the essential features of cognition. We then examine the specific behaviors of oil droplets but also fail to find that these demonstrate the essential features of cognition. Without a universality class, Batterman & Rice’s account of the explanatory power of minimal models simply does not apply to cognition. However, we also want to stress that it is not intended to; cognition is not the same type of behavioral phenomena as those found in physics. We then look to the minimal cognition methodology of Beer (1996, 2020a, b) to show how active materials can be explanatorily valuable regardless of their cognitive status because they engage in specific behaviors that have traditionally been expected to involve internal representational dynamics, revealing misconceptions about the cognitive underpinnings of certain, specific behaviors in target systems where such behaviors are cognitive. Further, Beer’s models can also be genuinely explanatory by providing dynamical explanations. (shrink)

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)

The paper discusses possible roles of consciousness in a semiotic activity of a cognitive agent. The discussion, we claim, is based on two related approaches to consciousness: on Chalmers’ theory of phenomenal and psychological consciousness and on Damasio’s neural theory, which draws a distinction between core and extended consciousness. Two stages of cognitive-semiotic processing are discussed: the moment of perception of a sign as a meaningful entity and the metasemiotic processes understood as the human capacity to reflect on signs and (...) their usage, analyse and control processes of recognition, interpretation of signs and to detect and correct errors in semiotic activity. In the case of the first stage, it is argued that signs as meaningful entities have a distincly experiential character. The feeling of meaningfulness is a result of phenomenal consciousness, in particular a result of the so-called valuation features of phenomenal experience. I claim that this aspect of cognitive-semiotic activity is possible owing to a special neural mechanism called a semiotic marker. It is argued that semiotic systems have to be able to use signs as signs, i.e. they should display some metacognitive capacities, in particular an ability to analyse semiosis at a metalevel. It is argued that such metasemiosis is dependent on psychological consciousness and is realized at the neural level in the form of extended consciousness. The paper is based on a particular understanding of cognitive semiotics as a discipline involving analyses of cognitive processes as semiotic processes, i.e. processes requiring usage of signs. (shrink)

3.2.2. The principle of conceptual containment ........................... 116 3.3.3. The physical human subject or the “I” ............................... 119 3.4. The hyperverse and its EDWs – the antimetaphysical foundation of the EDWs perspective ........................................... 150 Part II. Applications Chapter 4. Applications to some notions from philosophy of mind .. 159 4.1. Levels and reduction vs. emergence ............................................. 160 4.2. Qualia, Kant and the “I” ............................................................... 181 4.3. Mental causation and supervenience ............................................ 190 Chapter 5. Applications to some notions from cognitive science (...) ...... 200 5.1. Computationalism ........................................................................ 200 5.2. Connectionism .............................................................................. 211 5.3. The dynamical system approach .................................................. 223 5.4. Robotics ........................................................................................ 232 5.5. Dichotomies concerning the notion of mental representation and processing .............................................................................. 243 5.6. The EDWs perspective and some key elements in cognitive science .......................................................................................... 249 5.7. The relation between key elements and some philosophical distinctions ................................................................................... 264 5.8. Cognitive neuroscience ................................................................ 267 5.9. The status of any living entity ...................................................... 277 Chapter 6. Applications to some notions from philosophy of science and science ............................................................................ 281 6.1. A glance at logical positivism ...................................................... 285 6.2. Carnap’s linguistic frameworks .................................................... 289 6.3. Carnap vs. Gödel or syntactic vs. semantic .................................. 292 6.4. Carnap vs. Quine or rational reconstruction vs. naturalized epistemology ................................................................................ 295 6.5. Quine’s ontological relativity ....................................................... 296 6.6. Goodman’s relativity .................................................................... 298 6.7. Putnam and the rejection of the “thing-in-itself” .......................... 299 6.8. Friedman’s relative constitutive a priori principles....................... 301 6.9. Some notions from quantum mechanics ....................................... 305 6.10. The status of the external non-living epistemologically different entities ....................................................................................... 343 Conclusion .............................................................................................. 361 References .............................................................................................. 369. (shrink)

We propose a non-representationalist framework for deep learning relying on a novel method computational phenomenology, a dialogue between the first-person perspective (relying on phenomenology) and the mechanisms of computational models. We thereby propose an alternative to the modern cognitivist interpretation of deep learning, according to which artificial neural networks encode representations of external entities. This interpretation mainly relies on neuro-representationalism, a position that combines a strong ontological commitment towards scientific theoretical entities and the idea that the brain operates on symbolic (...) representations of these entities. We proceed as follows: after offering a review of cognitivism and neuro-representationalism in the field of deep learning, we first elaborate a phenomenological critique of these positions; we then sketch out computational phenomenology and distinguish it from existing alternatives; finally we apply this new method to deep learning models trained on specific tasks, in order to formulate a conceptual framework of deep-learning, that allows one to think of artificial neural networks’ mechanisms in terms of lived experience. (shrink)

Anderson's massive redeployment hypothesis (MRH) takes the grounding of meaning in sensorimotor behaviour to be a side effect of neural reuse. I suggest this grounding may play a much more fundamental role in accounting for the bootstrapping of higher-level cognition from sensorimotor behaviour. Thus, the question of when neural reuse delivers semantic inheritance is a pressing one for MRH.

A startling amount of intelligent activity can be controlled without reasoning or thought. By tuning the perceptual system to task relevant properties a creature can cope with relatively sophisticated environments without concepts. There is a limit, however, to how far a creature without concepts can go. Rod Brooks, like many ecologically oriented scientists, argues that the vast majority of intelligent behaviour is concept-free. To evaluate this position I consider what special benefits accrue to concept-using creatures. Concepts are either necessary for (...) certain types of perception, learning, and control, or they make those processes computationally simpler. Once a creature has concepts its capacities are vastly multiplied. (shrink)

The objective of this essay is to provide the beginning of a principled classification of some of the ways space is intelligently used. Studies of planning have typically focused on the temporal ordering of action, leaving as unaddressed questions of where to lay down instruments, ingredients, work-in-progress, and the like. But, in having a body, we are spatially located creatures: we must always be facing some direction, have only certain objects in view, be within reach of certain others. How we (...) manage the spatial arrangement of items around us is not an afterthought: it is an integral part of the way we think, plan, and behave. The proposed classification has three main categories: spatial arrangements that simplify choice; spatial arrangements that simplify perception; and spatial dynamics that simplify internal computation. The data for such a classification is drawn from videos of cooking, assembly and packing, everyday observations in supermarkets, workshops and playrooms, and experimental studies of subjects playing Tetris, the computer game. This study, therefore, focuses on interactive processes in the medium and short term: on how agents set up their workplace for particular tasks, and how they continuously manage that workplace. (shrink)

The objective of research in the foundations of Al is to explore such basic questions as: What is a theory in Al? What are the most abstract assumptions underlying the competing visions of intelligence? What are the basic arguments for and against each assumption? In this essay I discuss five foundational issues: (1) Core Al is the study of conceptualization and should begin with knowledge level theories. (2) Cognition can be studied as a disembodied process without solving the symbol grounding (...) problem. (3) Cognition is nicely described in propositional terms. (4) We can study cognition separately from learning. (5) There is a single architecture underlying virtually all cognition. I explain what each of these implies and present arguments from both outside and inside Al why each has been seen as right or wrong. (shrink)

Evidence for motion extrapolation at motion offset is scarce. In contrast, there is abundant evidence that subjects mentally extrapolate the future trajectory of weak motion signals at motion offset. Further, pointing movements overshoot at motion offset. We believe that mental and sensorimotor extrapolation is sufficient to solve the problem of perceptual latencies. Both present the advantage of being much more flexible than motion extrapolation.

This thesis investigates how recurrent face-to-face social interactions engender relatively invariant patterns of being together that cause those who instantiate them to act in ways that support their reproduction. Existing accounts within both cognitive science and sociology offer important insights into the consideration of patterns of being together. However, given their explanatory strategies, they struggle to integrate both ‘social’ and ‘individual’ levels of explanation. Herein a compatibilist account is developed, intended as a ‘third way’ that obviates the limitations of existing (...) accounts. This compatibilist account — by integrating insights from across disciplines and theoretical frameworks — develops a philosophical vocabulary with which to maintain explanatory consistency when articulating patterns of being together and moving between individual and social levels of explanation. It relies heavily on an extension of the enactive notion of autonomous habits to the social domain, redescribing patterns of being together as habituated participatory sense-making frames. Participatory sense-making frames result from processes of coenhabiting, i.e. processes of ongoing social habit making implicit in the dynamics of recurrent social interactions. Such processes are one primary means by which we produce and reproduce the relatively stable forms that characterise our shared worlds. These habituated frames embed much of the normativity of social life, and can serve our felicitous coordinations therein, allowing us to feel well situated, particularly in contexts within which we have some history of interacting. However, when they are not well aligned, they lead to tensions that result in either the production of novel frames or breakdowns in social interaction. The account developed has implications for many domains of human action, from psychotherapy to epistemology, and from critical studies to the development of political and ecological praxes. (shrink)

This chapter presents a new semantics for inductive empirical knowledge. The epistemic agent is represented concretely as a learner who processes new inputs through time and who forms new beliefs from those inputs by means of a concrete, computable learning program. The agent’s belief state is represented hyper-intensionally as a set of time-indexed sentences. Knowledge is interpreted as avoidance of error in the limit and as having converged to true belief from the present time onward. Familiar topics are re-examined within (...) the semantics, such as inductive skepticism, the logic of discovery, Duhem’s problem, the articulation of theories by auxiliary hypotheses, the role of serendipity in scientific knowledge, Fitch’s paradox, deductive closure of knowability, whether one can know inductively that one knows inductively, whether one can know inductively that one does not know inductively, and whether expert instruction can spread common inductive knowledge—as opposed to mere, true belief—through a community of gullible pupils. (shrink)

This paper aims to do three things: First, to provide a review of John Staddon's book Adaptive dynamics: The theoretical analysis of behavior. Second, to compare Staddon's behaviorist view with current ideas on embodied cognition. Third, to use this comparison to explicate some outlines for a theoretical analysis of behavior that could be useful as a behavioral foundation for cognitive phenomena. Staddon earlier defended a theoretical behaviorism, which allows internal states in its models but keeps these to a minimum while (...) remaining critical of any cognitive interpretation. In his latest book, Adaptive dynamics, he provides an overview and analysis of an extensive number of these current, behaviorist models. Theoretical behaviorism comes close to the view of embodied cognition, which also stresses the importance of behavior in contrast to high-level cognition. A detailed picture of the overlaps and differences between the two approaches will be sketched by comparing the two on four separate issues: the conceptualization of behavior, loopy structures, parsimonious explanations, and cognitive behavior. The paper will stress the need for a structural analysis of behavior to gain a better understanding of both behavior and cognition. However, for this purpose, we will need behavioral science rather than behaviorism. (shrink)

Cognitive science's basic premises are under attack. In particular, its focus on internal cognitive processes is a target. Intelligence is increasingly interpreted, not as a matter of reclusive thought, but as successful agent-environment interaction. The critics claim that a major reorientation of the field is necessary. However, this will only occur when there is a distinct alternative conceptual framework to replace the old one. Whether or not a serious alternative is provided is not clear. Among the critics there is some (...) consensus, however, that this role could be fulfilled by the concept of a 'behavioral system'. This integrates agent and environment into one encompassing general system. We will discuss two contexts in which the behavioral systems idea is being developed. Autonomous Agents Research is the enterprise of building behavior-based robots. Dynamical Systems Theory provides a mathematical framework well suited for describing the interactions between complex systems. We will conclude that both enterprises provide important contributions to the behavioral systems idea. But neither turns it into a full conceptual alternative which will initiate a major paradigm switch in cognitive science. The concept will need a lot of fleshing out before it can assume that role. (shrink)

How can we explain the intentional nature of an expert’s actions, performed without immediate and conscious control, relying instead on automatic cognitive processes? How can we account for the differences and similarities with a novice’s performance of the same actions? Can a naturalist explanation of intentional expert action be in line with a philosophical concept of intentional action? Answering these and related questions in a positive sense, this dissertation develops a three-step argument. Part I considers different methods of explanations in (...) cognitive neuroscience (Bennett & Hacker’s philosophical, conceptual analysis; Marr’s three levels of explanation; Neural Correlates of Consciousness research; mechanistic explanation), defending ‘mechanistic explanation’ as a method that provides the necessary tools for integrating interdisciplinary insights into human action. Furthermore, a dynamic, explanatory mechanism allows the assessment of the impact of learning and development on expert action in a valuable way that other methods don’t. Part II continues by scrutinizing several cognitive neuroscientific theories of learning and development (neuroconstructivism; dual-processing theories; simulation theory; extended mind/cognition hypothesis), arguing for the complex interactions between different types of processing and different action representations involved in expert action performances. Moreover, according to our discussion of a particular ‘simulation theory’ these interactions can be influenced in several ways with the use of language, allowing an agent to configure a specific action representation for performance at a later stage. The results of Parts I and II are then applied in Part III to a parallel discussion of philosophical analyses of intentional action (discussing i.a. Frankfurt, Bratman, Pacherie and Ricoeur) and cognitive neuroscientific insights in it. Both approaches are found to converge in emphasizing the importance for an expert to develop stable patterns of actions that comply maximally not only with his intentions, but also with his motor expertise and with situational conditions. Consequently, his actions – automatic, or not – rely on this ‘sculpted space of actions’. (shrink)

In this paper I develop a novel account of the phenomenality of language by focusing on characteristics of perceived speech. I explore the extent to which the spoken word can be said to have a horizonal structure similar to that of spatiotemporal objects: our perception of each is informed by habitual associations and expectations formed through past experiences of the object or word and other associated objects and experiences. Specifically, the horizonal structure of speech in use can fruitfully be compared (...) to that of a tool in use. The comparison suggests an account of our linguistic faculty as continuous with more foundational faculties of perception and action. I provide empirical corroboration of this account by drawing on recent neuroimaging studies of the multimodal, sensorimotor bases of speech comprehension. I then discuss how such an understanding of our linguistic ability helps advocates of embodied, non-representationalist accounts of cognition respond to a common objection. Critics grant that embodied approaches may be adequate to account for lower-level, online modes of cognition, such as perception and action, which directly engage their object. But they question whether such approaches can “scale up” to higher modes of cognition, such as imagination, memory, thought, and language, which can entertain absent, non-existent, or abstract objects. By providing a plausible account of the continuity of lower cognition and language-involving cognition, my approach responds to this objection, at least where language is concerned. (shrink)

This paper considers the implications for higher education of recent work on narrative theory, distributed cognition and artificial intelligence. These perspectives are contrasted with the educational implications of Heidegger's ontological phenomenology [being‐there and being‐aware (Da‐sein)] and with the classic and classical foundations of education which Heidegger and Gadamer once criticised. The aim is to prompt discussion of what teaching might become if psychological insights (about collective minds let loose to learn) are associated with every realm of higher education (not just (...) teacher training). (shrink)

In questo lavoro distinguo tra due versioni della tesi del carattere incarnato della mente: “debole” e “forte”. Secondo la versione debole, il possesso di stati mentali presuppone l’esistenza di un corpo che si muove ed agisce nell’ambiente, ossia un corpo funzionale. Secondo la versione forte, invece, il possesso di stati mentali presuppone l’esistenza di un corpo non solo funzionale ma anche senziente, ossia: il corpo come sede della sensibilità o coscienza fenomenica. Sostengo che alcuni approcci all’interno della “scienza cognitiva incarnata” (...) implicano la forma debole di embodiment : la robotica di Brooks, l’enattivismo sensomotorio di Noë e O’Regan e l’enattivismo radicale di Hutto e Myin. In contrapposizione a queste prospettive, e basandomi sull’analisi fenomenologica della corporeità vivente e vissuta, difendo la forma forte di embodiment, secondo cui la mente si fonda essenzialmente sul corpo funzionale e senziente. Parole chiave: Fenomenologia; Embodiment; Coscienza fenomenica; Enattivismo; Qualità sensibili -/- Abstract (english) -/- Functional body and sentient body. The strong view on the embodied mind in phenomenology: In this paper, I draw a distinction between weak and strong versions of the “embodiment thesis”. The weak version claims that mental states are grounded in a body that moves and acts in the environment, i.e., a functional body. The strong version claims that mental states are grounded in a body that is not only functional but also sentient, i.e., a body that is the locus of sensibility or phenomenal consciousness. I argue that some approaches within the “new embodied cognitive science” – Brooks’ robotics, Noë’s and O’Regan’s sensorimotor enactivism, Hutto’s and Myin’s radical enactivism – imply a weak version of the embodiment thesis. In contrast, by drawing on a phenomenological analysis of living and lived corporeality, I argue for the strong version, which claims that the mind is essentially grounded in the functional and sentient body. Keywords: Phenomenology; Embodiment; Phenomenal Consciousness; Enactivism; Sensible Qualities. (shrink)

In Law, Pragmatism and Democracy, Richard Posner wrestles with the ghost of John Dewey for the mantle of pragmatist jurisprudence. Most commentators have seen this work as pitting Posner against Dewey in a contest of pragmatisms, the stakes for which are no less than their respective legacies for legal and democratic theory. Some have sided with Posner and others with Dewey. I contend that the commentators have misidentified the target of Posner’s critique. Posner had another legal theorist in mind and (...) he was disingenuous in naming Dewey. A careful reconstruction of Posner’s argument shows that Dewey’s pragmatism provides a genuine middle way between Posner’s position and that of his intended rival. (shrink)