9,516 research outputs found

    Before and Beyond Representation: Towards an enactive conception of the Palaeolithic image\ud

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    For most archaeologists the meaning of prehistoric art appears to be grounded upon, if not synonymous with, the notion of representation and symbolism. This paper explores the possibility that the depictions we see already 30,000 years before present, for instance, at the caves of Chauvet and Lascaux, before and beyond representing the world, they first bring forth a new process of acting within this world and at the same time of thinking about it. It is argued that the unique ability of those early depictions to disrupt or question the ways the world is experienced under normal conditions makes possible for the visual apparatus to interrogate itself and thus acquire a sense of perceptual awareness not previously available. \u

    a state of the art

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    The aim of this paper is to review the most important research initiatives concerning context in computer science. Context aspects are a key issue for many research communities like artificial intelligence, real time systems or mobile computing, because it relates information processing and communication to aspects of the situations in which such processing occurs. The overview addresses the ways context is defined and understood in various computer science fields and tries to estimate the role of context in the novel scenario of the Semantic Web, by studying the particularities of this setting, compared to the Artificial Intelligence or Natural Language Processing ones, and the consequences of these particularities in resolving the key questions concerning contextual aspects

    Universal Intelligence: A Definition of Machine Intelligence

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    A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems which are significantly different to humans. In this paper we approach this problem in the following way: We take a number of well known informal definitions of human intelligence that have been given by experts, and extract their essential features. These are then mathematically formalised to produce a general measure of intelligence for arbitrary machines. We believe that this equation formally captures the concept of machine intelligence in the broadest reasonable sense. We then show how this formal definition is related to the theory of universal optimal learning agents. Finally, we survey the many other tests and definitions of intelligence that have been proposed for machines.Comment: 50 gentle page

    The use of animated agents in e‐learning environments: an exploratory, interpretive case study

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    There is increasing interest in the use of animated agents in e‐learning environments. However, empirical investigations of their use in online education are limited. Our aim is to provide an empirically based framework for the development and evaluation of animated agents in e‐learning environments. Findings suggest a number of challenges, including the multiple dialogue models that animated agents will need to accommodate, the diverse range of roles that pedagogical animated agents can usefully support, the dichotomous relationship that emerges between these roles and that of the lecturer, and student perception of the degree of autonomy that can be afforded to animated agents
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