Abstract
Currently we don't have a reliable abstraction for modeling activity in knowledge-processing multiagent systems with evolving metadata. The aim of this paper is to propose an approach to simulation of evolving society of software agents with private vocabularies in form of semantic nets (also: lightweight ontologies). The conditions for successful simulation of this kind of systems are formulated with respect to up-to-day results in research on agents, Semantic Web and network theory. The generic algorithm is proposed and the importance of the presented results for predicting behavior of future autonomous agents' societies in Web-based environments is discussed. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Juszczyszyn, K. (2007). Modeling the activity of a multiagent system with evolving metadata. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4496 LNAI, pp. 73–81). Springer Verlag. https://doi.org/10.1007/978-3-540-72830-6_8
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