A scientific explanatory project, part-whole explanation, and a kind of science, part-whole science are premised on identifying, investigating, and using parts and wholes. In the biological sciences, mechanistic, structuralist, and historical explanations are part-whole explanations. Each expresses different norms, explananda, and aims. Each is associated with a distinct partitioning frame for abstracting kinds of parts. These three explanatory projects can be complemented in order to provide an integrative vision of the whole system, as is shown for a detailed case study: (...) the tetrapod limb. My diagnosis of part-whole explanation in the biological sciences as well as in other domains exploring evolved, complex, and integrated systems (e.g., psychology and cognitive science) cross-cuts standard philosophical categories of explanation: causal explanation and explanation as unification. Part-whole explanation is itself one essential aspect of part-whole science. (shrink)

Traditional analytical philosophy of education assigns a peripheral place to physical education, partly because orthodox epistemology finds its cognitive claims implausible. An understandable but dubious response to this state of affairs is the attempt to relocate physical education within the academic curriculum, with its characteristic emphasis on theoretical knowledge and formal assessment. Dissatisfaction with this response suggests an analysis of physical activity in terms of practical knowledge or knowing how, but the results of this seem inconclusive. More recently, the development (...) of neurocomputational and embodied-cognition approaches in cognitive science appears to offer alternative ways of understanding motor skill and physical activity, and thus of rescuing physical education from its marginal status. But these strategies are not unproblematic, particularly where questions of personal agency and motor control are concerned. Examination of these issues prompts a radical reconsideration of the traditional problem of physical education, and consequently of some familiar assumptions in the philosophy of education. (shrink)

The philosophy of information (PI) is a new area of research with its own field of investigation and methodology. This article, based on the Herbert A. Simon Lecture of Computing and Philosophy I gave at Carnegie Mellon University in 2001, analyses the eighteen principal open problems in PI. Section 1 introduces the analysis by outlining Herbert Simon's approach to PI. Section 2 discusses some methodological considerations about what counts as a good philosophical problem. The discussion centers on Hilbert's famous analysis (...) of the central problems in mathematics. The rest of the article is devoted to the eighteen problems. These are organized into five sections: problems in the analysis of the concept of information, in semantics, in the study of intelligence, in the relation between information and nature, and in the investigation of values. (shrink)

In this paper, I critically examine Stephen Turner's critique of practice theory in light of recent neurophysiological discoveries regarding the “mirror neuron system” in the pre-frontal mo-tor cortex of humans and other primates. I argue that two of Turner's strongest objections against the sociological version of the practice-theoretical account, the problem of transmission and the problem of sameness, are substantially undermined when examined from the perspective of re-cently systematized accounts of embodied learning and intersubjective action understanding in-spired by these developments. (...) In addition, I show that the practice-theoretical framework out-lined by Pierre Bourdieu in the Logic of Practice and other works is, in contrast to Turner's por-trayal of a confused hodgepodge of logical errors and empirical impossibilities, largely consistent with the latest neurophysiological evidence and as such fundamentally foreshadowed more recent understandings of the neurocognitive foundations of the perception, understanding and structure of the motor schemes productive of action in the world. Also in line with these newer neurosci-entific developments, the practice-theoretical focus on the body as the central matrix generative of tacit understandings and analogical operations responsible for “higher order” systems of classi-fication emerges as the key to solving some of the thorniest problems in the theory of action: eliminating to need to resort to unwarranted “collective object” explanations for the origins of shared presuppositional frameworks. (shrink)

Most contemporary philosophers of mind claim to be in search of a 'naturalistic' theory. However, when we look more closely, we find that there are a number of different and even conflicting ideas of what would count as a 'naturalization' of the mind. This article attempts to show what various naturalistic philosophies of mind have in common, and also how they differ from one another. Additionally, it explores the differences between naturalistic philosophies of mind and naturalisms found in ethics, epistemology, (...) and philosophy of science. Section 1 introduces a distinction between two types of project that have been styled 'naturalistic', which I call philosophical naturalism and empirical naturalism . Sections 2 to 6 canvass different strands of philosophical naturalism concerning the mind, followed by a much briefer discussion of attempts to provide empirical naturalizations of the mind in Section 7 . Section 8 concludes the essay with a consideration of the relations between philosophical and empirical naturalism in philosophy of mind, arguing that at least some types of philosophical naturalism are incompatible with empirical naturalism. (shrink)

Current discussions on artificial intelligence, in both the theoretical and practical realms, contain a fundamental lack of clarity regarding the nature of artificial intelligence, perhaps due to the fact that the distinction between natural and artificial appears, at first sight, both intuitive and evident. Is AI something unnatural, non-human and therefore dangerous to humanity, or is it only a continuation of man’s natural tendency towards creativity? It is not surprising that from the philosophical point of view, this distinction is the (...) basic question that fundamentally affects all other considerations and conclusions pertaining to artificial intelligence. In this article, I would like to explain this difference and draw attention to some conclusions, which may result from a naturalistic perspective with regard to recent philosophical posthumanism. For this purpose, I present several examples of the natural–artificial distinction in the different fields of the philosophy of science and then discuss their implications for the problem of intelligence. Based on Dennett’s conception of intentionality and the naturalistic perspective, I demonstrate that besides the traditional conception, there is a non-anthropocentric evolutionary view in which the natural–artificial distinction disappears and it is possible to see a united process of intelligence creation. (shrink)

I argue for the role of reinforcement learning in the philosophy of mind. To start, I make several assumptions about the nature of reinforcement learning and its instantiation in minds like ours. I then review some of the contributions of reinforcement learning methods have made across the so-called 'decision sciences.' Finally, I show how principles from reinforcement learning can shape philosophical debates regarding the nature of perception and characterisations of desire.

The invention of the computer has revolutionized science. With respect to finding the essential structures of life, for example, it has enabled scientists not only to investigate empirical examples, but also to create and study novel hypothetical variations by means of simulation: ‘life as it could be’. We argue that this kind of research in the field of artificial life, namely the specification, implementation and evaluation of artificial systems, is akin to Husserl’s method of free imaginative variation as applied to (...) the specific regional ontology of biology. Thus, at a time when the clarification of the essence of our biological embodiment is of growing interest for phenomenology, we suggest that artificial life should be seen as a method of externalizing some of the insurmountable complexity of imaginatively varying the phenomenon of life. (shrink)

I review a widely accepted argument to the conclusion that the contents of our beliefs, desires and other mental states cannot be causally efficacious in a classical computational model of the mind. I reply that this argument rests essentially on an assumption about the nature of neural structure that we have no good scientific reason to accept. I conclude that computationalism is compatible with wide semantic causal efficacy, and suggest how the computational model might be modified to accommodate this possibility.

By following the arguments developed by Vygotsky and employing the cultural-historical activity theory (CHAT) in addition to dialectical logic, this paper attempts to investigate the interaction between psychology and artificial intelligence (AI) to confront the epistemological and methodological challenges encountered in AI research. The paper proposes that AI is facing an epistemological and methodological crisis inherited from psychology based on dualist ontology. The roots of this crisis lie in the duality between rationalism and objectivism or in the mind-body rupture that (...) has governed the production of scientific thought and the proliferation of approaches. In addition, by highlighting the sociohistorical conditions of AI, this paper investigates the historical characteristics of the shift of the crisis from psychology to AI. Additionally, we examine the epistemological and methodological roots of the main challenges encountered in AI research by noting that empiricism is the dominant tendency in the field. Empiricism gives rise to methodological and practical challenges, including challenges related to the emergence of meaning, abstraction, generalization, the emergence of symbols, concept formation, functional reflection of reality, and the emergence of higher psychological functions. Furthermore, through discussing attempts to formalize dialectical logic, the paper, based on contradiction formation, proposes a qualitative epistemological, methodological, and formal alternative by using a preliminary algorithmic model that grasps the formation of meaning as an essential ability for the qualitative reflection of reality and the emergence of other mental functions. (shrink)

The notion of a ‘symbol’ plays an important role in the disciplines of Philosophy, Psychology, Computer Science, and Cognitive Science. However, there is comparatively little agreement on how this notion is to be understood, either between disciplines, or even within particular disciplines. This paper does not attempt to defend some putatively ‘correct’ version of the concept of a ‘symbol.’ Rather, some terminological conventions are suggested, some constraints are proposed and a taxonomy of the kinds of issue that give rise to (...) disagreement is articulated. The goal here is to provide something like a ‘geography’ of the various notions of ‘symbol’ that have appeared in the various literatures, so as to highlight the key issues and to permit the focusing of attention upon the important dimensions. In particular, the relationship between ‘tokens’ and ‘symbols’ is addressed. The issue of designation is discussed in some detail. The distinction between simple and complex symbols is clarified and an apparently necessary condition for a system to be potentially symbol, or token bearing, is introduced. (shrink)

Showcasing original arguments for well-defined positions, as well as clear and concise statements of sophisticated philosophical views, this volume is an ...

In this paper we propose a narrative hypothesis on the nature of language and a proto-discursive hypothesis on the origin of our communicative abilities. Our proposal is based on two assumptions. The first assumption, concerning the properties of language, is tied to the idea that global discourse coherence governs the origin of our communicative abilities as well the functioning of these abilities. The second assumption, concerning processing devices, is connected to the idea that the systems of spatial and temporal navigation (...) are implicated in discourse coherence processing. Analysis of the relationship between these two assumptions allows us to integrate the model of language based on clues proposed by Sperber and Wilson with Relevance Theory with the discursive foundation of human communication. In this respect, our proposal can be considered as a tentative extension of Relevance Theory. (shrink)

Understanding the “intentionality” of mental phenomena is widely regarded as a key problem in philosophy of mind. Franz Brentano (along with his students, especially Edmund Husserl) is widely credited with bringing intentionality to philosophers’ attention. In early treatment by the Brentano school, intentionality is at least nominally understood as executed, brought about, or achieved in mental acts. And in the early 20th century, historians of psychology regarded this “act conception” of intentionality as integral for understanding the phenomenon. Yet the secondary (...) literature on Brentano and Husserl provides no clarification of mental acts as acts, and in contemporary philosophy, we have no workable account of what it could mean for intentionality to arise through mental acts. The main difficulty is that “act” is widely regarded as synonymous with “volitional personal action.” Since we as human agents certainly do not willfully bring about much of our own mental life, and since (on the standard analyses) all such volition presupposes intentionality, it is a mystery to work out what the act conception of intentionality could have amounted to. This dissertation is a systematic explication of the historical act concept of intentionality. Part I examines Brentano. I show that his early work on Aristotle’s psychology provides resources to think coherently about many mental phenomena as acts, even if they are not personal actions. However, I also show that Brentano’s mature psychology is not Aristotelian, at least insofar as it does not (and cannot) deploy an Aristotelian conception of mental acts. Part II examines Husserl. I show that Husserl’s mature transcendental phenomenology works with a robust and many-layered conception of mental acts, and that understanding intentionality as active is essential to the phenomenological viewpoint. Moreover, I argue that Husserl’s conception of mental acts can be viewed as a transcendentalized, neo-Aristotelian view. The results will be of special interest to historians of philosophy, but also have a much broader significance. Husserl’s view provides us with a model of what can be called an “internalist enactivism.” Any view along these lines represents a novel position that has not been articulated (or even considered) in contemporary debates. (shrink)

Theories of cognition and theories of social practices and institutions have often each separately acknowledged the relevance of the other; but seldom have there been consistent and sustained attempts to synthesize these two areas within one explanatory framework. This is precisely what my dissertation aims to remedy. I propose that certain recent developments and themes in philosophy of mind and cognitive science, when understood in the right way, can explain the emergence and dynamics of social practices and institutions. Likewise, the (...) view I construct explains how social practices and institutions shape the character of cognition of their constituent agents. Moreover, I explain both cognitive and social agency under the single explanatory framework provided by Dynamic Systems Theory. Drawing upon the phenomenological tradition, "embodied, "extended", "embedded", "enactive", and "ecological" approaches to cognition, as well as the conceptual resources of Dynamic Systems Theory, I construct a theory of agency that sees cognitive and social agents as far-from-equilibrium, open, recursively self-maintenant dynamic systems. Depending on the specifics of concrete circumstances, such systems, which I call "Dynamic Embodied Agents", may develop and possess emergent capacities for error-detection, flexible learning, normative behavior, representation, self-reflection, various modes of pattern-recognition, a temporal sense of self, and even moral responsibility. Some such systems are also sensitive to perceived social influences ; while reciprocally constituting and causally affecting them. (shrink)