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- W2113454922 abstract "The last ten years have witnessed an intense flowering of interest in artificial agents, both on a theoretical and on a practical level. The ACM devoted a special issue of its ‘Communications’ to intelligent agents [CACM, 1994], and Scientific American ranked intelligent software agents among the key technologies for the 21st century [Maes, 1995]. Also various conferences and workshops were initiated that specifically address agents, their theories, languages, architectures and applications [Fiadeiro and Schobbens, 1996; Lesser, 1995; Wooldridge and Jennings, 1995b; Wooldridge et al., 1996]. Consequently, terms like agent-based computing, agent-based software engineering and agent-oriented programming have become widely used in research on AI. Despite its wide use, there is no agreement on what the term ‘agent’ means. Riecken remarks that ‘at best, there appears to be a rich set of emerging views’ and that ‘the terminology is a bit messy’ [Riecken, 1994]. Existing definitions range from ‘any entity whose state is viewed as consisting of mental objects ’ [Shoham, 1993] and ‘autonomous objects with the capacity to learn, memorize and communicate’ [Foner, 1993], to ‘systems whose behavior is neither casual nor strictly causal, but teleonomic, goal-oriented toward a certain state of the world’ [Castelfranchi, 1995]. Other authors, and truly not the least, use the term ‘robot’ instead of agent [Lespérance et al., 1996], or take the common-sense definition of agents for granted [Rao and Georgeff, 1991b]. In practical applications agents are ‘personal assistant[s] who [are] collaborating with the user in the same work environment’ [Maes, 1994], or ‘computer programs that simulate a human relationship, by doing something that another person could otherwise do for you’ [Selker, 1994]." @default.
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- W2113454922 date "2002-01-01" @default.
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- W2113454922 title "Formalising Abilities and Opportunities of Agents" @default.
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- W2113454922 doi "https://doi.org/10.1007/978-94-017-1741-0_10" @default.
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