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Formal Models of Agents: An Introduction
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Formal Models of Agents: An Introduction
John-Jules Ch. Meyer3 and Pierre-Yves Schobbens4
| (3) |
Intelligent Systems Group, Dept. of Computer Science, Utrecht University, P.O. Box 80089, 3508 TB Utrecht, The Netherlands |
| (4) |
Institut d’Informatique, Fac. Univ. Notre-Dame de la Paix, Rue Grandgagnage 21, B-5000, Namur, Belgium |
Abstract
Although in philosophical literature the notion of an agent as a cognitive subject has been around for a long time, in the
last decade or so the area of ‘Intelligent Agents’ has also become a major area of research within artificial intelligence
and computer science, an area with a big promise as there are a myriad of possible applications (see e.g. [4]). As might be expected, within the latter areas the concept of an agent generally has a more technical meaning, although
there is no general consensus on its definition. But mostly by an agent is meant a (software or hardware) entity that has
some degree of autonomy, which typically comes down to displaying reactive and/or proactive behaviour (that is to say that the agent is capable of
reacting to its environment and taking initiative, independent of the user, respectively), might possess reasoning and learning
capabilities, and is able to communicate in some intelligent way with other agents. Sometimes agents are ascribed ‘mental
attributes’ such as a mental state comprising knowledge, belief, Whether these mental attributes are merely metaphorical (i.e. a convenient means of describing agents) or ‘real’ in the
sense that these artificial agents possess some ‘truly cognitive’ capabilities like human or, to a lesser extent, animal agents
do, is of course a matter of philosophical debate but also a question depending to a large extent on the application one has
in mind.
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