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.
This work was supported by the Polish State Committee for Scientific Research under Grant No. 3 T11C 029 29 (2005-2007).
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Juszczyszyn, K. (2007). Modeling the Activity of a Multiagent System with Evolving Metadata. In: Nguyen, N.T., Grzech, A., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2007. Lecture Notes in Computer Science(), vol 4496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72830-6_8
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DOI: https://doi.org/10.1007/978-3-540-72830-6_8
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