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Titlebook: AISB91; Proceedings of the E Luc Steels (Professor of Artificial Intelligence, Conference proceedings 1991 Springer-Verlag London Limited

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期刊全称AISB91
期刊简称Proceedings of the E
影响因子2023Luc Steels (Professor of Artificial Intelligence,
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图书封面Titlebook: AISB91; Proceedings of the E Luc Steels (Professor of Artificial Intelligence,  Conference proceedings 1991 Springer-Verlag London Limited
影响因子AISB91 is the eighth conference organized by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. It is not only the oldest regular conference in Europe on AI - which spawned the ECAI conferences in 1982 - but it is also the conference that has a tradition for focusing on research as opposed to applications. The 1991 edition of the conference was no different in this respect. On the contrary, research, and particularly newly emerging research dir­ ections such as knowledge level expert systems research, neural networks and emergent functionality in autonomous agents, was strongly emphasised. The conference was organized around the following sessions: dis­ tributed intelligent agents, situatedness and emergence in autonomous agents, new modes of reasoning, the knowledge level perspective, and theorem proving and machine learning. Each of these sessions is discussed below in more detail. DISTRIBUTED INTELLIGENT AGENTS Research in distributed AI is concerned with the problem of how multiple agents and societies of agents can be organized to co-operate and collectively solve a problem. The first paper by Chakravarty (MIT) focuses on the problem of evolving
Pindex Conference proceedings 1991
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Applications of Renormgroup Symmetries,g process must be understood as an intermediary intermittent contribution to the success of actions unfolding. An important part of man behaviour does not need any symbolic mental representation beyond the “just-perceived-environment” with which man interacts. Breakdowns are cognitive occurrences du
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Approximate and Renormgroup Symmetriesproperties of epistemic logics into agent performance domains, where agent cognition is taken to incorporate formula-manipulation, which then mirrors inference in the logic. The case of Reactive Systems is examined, where some such systems eschew such formula-manipulation in favour of fast-acting me
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Approximate and Renormgroup Symmetriess . and . and so on, that the model is to interpret. Such a specification is difficult using the componential-based microfeature encoding that many connectionist systems employ. The approach taken in this paper involves training a network to map linguistic spatial assertions onto a ., such that the
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https://doi.org/10.1007/978-3-642-00228-1ying behaviors for computer agents, including the general paradigms of “classical planning” and “reactive behavior.” These formalisms represent points in a complexity space that has as two of its most important dimensions (1) ease of expression of complex action strategies by the human programmer, a
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