In the field of machine consciousness, it has been argued that in order to build human-like conscious machines, we must first have a computational model of qualia. To this end, some have proposed a framework that supports qualia in machines by implementing a model with three computational areas (i.e., the subconceptual, conceptual, and linguistic areas). These abstract mechanisms purportedly enable the assessment of artificial qualia. However, several critics of the machine consciousness project dispute this possibility. For instance, Searle, in his (...) Chinese room objection, argues that however sophisticated a computational system is, it can never exhibit intentionality; thus, would also fail to exhibit consciousness or any of its varieties. This paper argues that the proposed architecture mentioned above answers the problem posed by Searle, at least in part. Specifically, it argues that we could reformulate Searle’s worries in the Chinese room in terms of the three-stage artificial qualia model. And by doing so, we could see that the person doing all the translations in the room could realize the three areas in the proposed framework. Consequently, this demonstrates the actualization of self-consciousness in machines. (shrink)

This volume is a collection of some of the most important philosophical papers by Peter Gärdenfors. Spanning a period of more than 20 years of his research, they cover a wide ground of topics, from early works on decision theory, belief revision and nonmonotonic logic to more recent work on conceptual spaces, inductive reasoning, semantics and the evolutions of thinking. Many of the papers have only been published in places that are difficult to access. The common theme of all the (...) papers is the dynamics of thought. Several of the papers have become minor classics and the volume bears witness of the wide scope of Gärdenfors’ research and of his crisp and often witty style of writing. The volume will be of interest to researchers in philosophy and other cognitive sciences. (shrink)

_ Source: _Volume 94, Issue 3, pp 391 - 409 The author outlines a provisional phenomenology of problem solving. He begins by reviewing the history of problem-solving psychology, focusing on the Gestalt approach, which emphasizes the influence of prior knowledge and the occurrence of sudden insights. He then describes problem solving as a process unfolding in a field of consciousness against a background of unconscious knowledge, which encodes action patterns, schemata, and affordances. A global feeling of wrongness or tension is (...) resolved by a series of field transitions, which are guided by peripheral experiences of coherence or “rightness.” The author treats the distinction between reproductive thought and productive thought as a difference in field structure. With reproductive thoughts and actions we perform operations to solve a problem in a semi-automatic sequence. In productive thought, by contrast, a kind of parallel search occurs. This may explain the otherwise obscure phenomenology of struggling to break an impasse. (shrink)

The article discusses the main trends in the development of artificial intelligence systems and robotics (AI&R). The main question that is considered in this context is whether artificial systems are going to become more and more anthropomorphic, both intellectually and physically. In the current article, the author analyzes the current state and prospects of technological development of artificial intelligence and robotics, and also determines the main aspects of the impact of these technologies on society and economy, indicating the geopolitical strategic (...) nature of this influence. The author considers various approaches to the definition of artificial intelligence and robotics, focusing on the subject-oriented and functional ones. It also compares AI&R abilities and human abilities in areas such as categorization, pattern recognition, planning and decision making, etc. Based on this comparison, we investigate in which areas AI&R’s performance is inferior to a human, and in which cases it is superior to one. The modern achievements in the field of robotics and artificial intelligence create the necessary basis for further discussion of the applicability of goal setting in engineering, in the form of a Turing test. It is shown that development of AI&R is associated with certain contradictions that impede the application of Turing’s methodology in its usual format. The basic contradictions in the development of AI&R technologies imply that there is to be a transition to a post-Turing methodology for assessing engineering implementations of artificial intelligence and robotics. In such implementations, on the one hand, the ‘Turing wall’ is removed, and on the other hand, artificial intelligence gets its physical implementation. (shrink)

A proposal is made concerning the introduction of the notions of cause and reason into a natural language understanding system. Its hypothesis is that one should prefer rational explanations of actions when dealing with human, or human‐like, agents, if one can find them in what one is analyzing, but that in other, nonhuman, cases one should prefer causal explanations. The reader is reminded of the existing state of the preference semantics system, and then are described the changes that would have (...) to be made to incorporate the above proposal and to find examples to test it. Finally, it is argued that there is no reason to think that a more complex taxonomy of causes (beyond the opposition of causes and reasons) is required, at least not if, as here. one seeks a procedural distinction corresponding to any taxonomic distinction among inference rules. (shrink)

Fodor's thinking on modularity has been influential throughout a range of the areas studying cognition, chiefly as a prod for positive work on modularity and domain-specificity. In _The Mind Doesn't Work That Way_, Fodor has developed the dark message of _The Modularity of Mind_ regarding the limits to modularity and computational analyses. This paper offers a critical assessment of Fodor's scepticism with an eye to highlighting some broader issues in play, including the nature of computation and the role of recent (...) empirical developments in the cognitive sciences in assessing Fodor's position. (shrink)

The paper questions the expert system paradigm, both in terms of its range of application, and as a significant contribution to the understanding of artificial intelligence. The viewpoint is that of the systems designer who must judge the applicability of these methods in imminent and future systems. The expert system paradigm, (ESP for short), is criticised not because it is ubiquitously wrong, but because its range of application appears to be very limited, and much promise is made of its application (...) in areas where its success is likely to be little more than a matter of luck. The paper considers the success in both academic and commercial settings. It is suggested that the contribution of the ESP to the wider ambitions of AI is modest, and to the practical user is still a considerable and largely unquantifiable risk. (shrink)

Skepticism about the limits of online learning is as old as online learning itself. As with other technologically-driven innovations in pedagogy, there are deep-seated worries that important educational goods might be effaced or obscured by the ways of teaching and learning that online methods allow. One family of such worries is inspired by reflections on the bodily basis of an important kind of understanding, and skepticism over whether this bodily basis can be inculcated in the absence of actual, flesh-and-blood, classroom (...) interactions. This paper focuses on the ways in which such worries arise in the influential work of Hubert Dreyfus. The negative conclusion for which I argue is that endorsing Dreyfus's Merleau-Pontian picture of the relationship between bodily skill and understanding does not commit us to his general pessimism concerning online learning—bodily, emotional, and interactive dimensions might be essential to learning, but we lack reasons to think that online learning necessarily lacks these dimensions. The negative argument motivates a positive claim: rather than giving up on online learning we should focus on designing courses and pedagogies that scaffold the bodily, affective and interactive dynamics constitutive of understanding in a particular domain. (shrink)

This introduction to a special issue of Topoi introduces and summarises the relationship between three main varieties of 'enactivist' theorising about the mind: 'autopoietic', 'sensorimotor', and 'radical' enactivism. It includes a brief discussion of the philosophical and cognitive scientific precursors to enactivist theories, and the relationship of enactivism to other trends in embodied cognitive science and philosophy of mind.

Improvisation is ubiquitous in life. It deserves, we suggest, to occupy a more central role in cognitive science. In the current paper, we take the case of jazz improvisation as a rich model domain from which to explore the nature of improvisation and expertise more generally. We explore the activity of the jazz improviser against the theoretical backdrop of Dreyfus’s account of expertise as well as of enactivist and 4E accounts of cognition and action. We argue that enactivist and 4E (...) accounts provide a rich source of insights on improvisation that go beyond Dreyfus’s notion of skilled coping, for example, through the central enactivist notion of “sense-making”. At the same time, however, we see improvisation also as suggesting an extension of enactivist theory. We see expert improvisers, in music and in life, as walking on a path of open-ended expansion of their mindful experiential relation with their doing. At the heart of an improviser’s expertise, we propose, lies a form of “higher-level inner sense-making” that spontaneously creates novel forms of agentive goal-directedness in the moment. Our account thus supplants Dreyfus’s idea of the ego-less absorbed expert by that of a mindful improviser enacting spontaneous expressions of herself, in music or in life. (shrink)

In this paper I try to problematize our conception of rational agency and to suggest that this conception is a matter of some practical and political significance. This is done on the one hand by indicating why more attention should be paid to the role of practical know-how, or skill, in the application of general laws or principles to particular cases, and on the other by looking to a Chinese model of efficacious action, where much attention is paid to cultivating (...) the skills required to make the transition from general to particular, albeit at the expense of recognizing the significance of what we would think of as scientific understanding. (shrink)

Summary The idea of man imitating by his own inventions capacities, considered genuinely human, like talking, making music or thinking, has fascinated man's phantasy at all times.

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

This article discusses the philosophical relevance of recent computational work on inductive inference being conducted in the rapidly growing branch of artificial intelligence called machine learning.

The claim that an information revolution is underway is scrutinized in this paper. Particular attention is given to the notions that new information technology will radically increase human choice and rationality in decision-making. The literature on informatics and technology is selectively reviewed in order to determine whether (1) the present use of technology seems to predict an increased choice and rationality in the future; (2) earlier technologies have had this effect; and (3) past social predictions of this type have proven (...) generally correct. We reach a mixed or negative conclusion in every case. Although the possibility of an information revolution cannot be dismissed, neither can it be readily accepted at this point unless we significantly diminish what is normally meant by a ‘revolution’. (shrink)

Proceeding from the debate opened by Beck, Giddens and Lash’s Reflexive Modernization, this paper seeks to clear the way for a more consistent and coherent concept of reflexivity in relation to the cultural-symbolic foundations of society. Seeing that Lash in his contribution to the debate inadvertently raises a key problem, i.e., the broad cognitive problem, the paper develops a critique of his hermeneutic culturalism. It focuses on the disparity between the position explicitly put forward in the debate with Beck and (...) Giddens and the cognitive one which more or less implicitly comes into play throughout his relevant essays. The disparity shows up already in his treatment of the problem of mediation, but it comes graphically to a head in his appropriation of Bourdieu. To lend the analysis some profile and depth, the argument is supported by elements of a socio-cognitive theory which has been gaining visibility in both social theory and the philosophy of social science. While the paper is critical of Lash, its overall aim is to strengthen his contribution to the debate. (shrink)

Experiences of art involve exercise of ordinary cognitive and perceptual capacities but in unique ways. These two features of experiences of art imply the mutual importance of aesthetics and cognitive science. Cognitive science provides empirical and theoretical analysis of the relevant cognitive capacities. Aesthetics thus does well to incorporate cognitive scientific research. Aesthetics also offers philosophical analysis of the uniqueness of the experience of art. Thus, cognitive science does well to incorporate the explanations of aesthetics. This paper explores this general (...) framework of expansionism : a research strategy that suggests that the explanatory goals and resources of both aesthetics and cognitive science should expand to include those of the other. Two relations are considered. First, what is the relation between aesthetics and more traditional cognitive science? Second, what is the relation between aesthetics and new developments in cognitive science that de-emphasize mental representation and emphasize body and action? (shrink)

The social sciences lack concepts and theories for an understanding of what new information technology is doing to our society. The article sketches the outlines of a broad historical and comparative approach to this issue: ‘an anthropology of information technology’. At the base is the idea ofexternalisation of knowledge as a historical process. Three main epochs are characterised by externalisation of knowledge through a) spoken language and a social organisation of specialists, b) writing and c) computer programming. The impact of (...) expert systems on learning is also discussed. (shrink)