Abstract
The aim of this paper is to propose a framework for modeling semantic interactions in large multiagent communities. By semantic interaction we understand the act of modifying the internal knowledge representation (in the form of semantic network or ontology) as a result of communication between agents. The proposed framework takes into account the latest results investigating structure of large semantic networks and communication patters in diverse multiagent environments.
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References
Andrea, M., Egenhofer, M.: Determining Semantic Similarity Among Entity Classes from Different Ontologies. IEEE Transactions on Knowledge and Data Engineering 15, 442–456 (2003)
Bailin, S.C., Truszkowski, W.: Ontology Negotiation between Agents Supporting Intelligent Information Management. In: 5th International Conference on Autonomous Agents, Montreal, Canada, pp. 13–20 (2001)
Berners Lee, T., Hendler, J., Lasilla, O.: The Semantic Web. Scientific American (May 2001)
Carrington, P., Scott, J., Wasserman, S. (eds.): Models and Methods in Social Networks Analysis. Cambridge University Press, Cambridge (2005)
Cybenko, G., Jiang, G., Hendler, J.: Semantic Depth and Markup Complexity. IEEE Conference on System, Man and Cybernetics, 2138–2143 (2003)
Davis, M.: Semantic Wave 2006 - Part 1: Executive Guide to Billion Dollar Markets, Project10X Special Report, Washington (2006)
Hendler, J.: Agents and the Semantic Web. IEEE Intelligent Systems 16(2), 30–37 (2001)
Hameed, A., et al.: Detecting Mismatches among Experts Ontologies Acquired through Knowledge Elicitation. In: Proceedings of 21st International Conference on Knowledge Based Systems and Applied Artificial Intelligence ES 2001, Cambridge, UK, pp. 9–24 (2001)
Ke, J., Minett, J.W., Au, C.-P., Wang, W.S.-Y.: Self-organization and Selection in the Emergence of Vocabulary. Complexity 7(3), 41–54 (2002)
Meltzoff, A.N., Prinz, W.: The imitative mind: Development, evolution, and brain bases. Cambridge University Press, Cambridge (2002)
Shaw, M.L.G., Gaines, B.R.: Comparing Conceptual Structures: Consensus, Conflict, Correspondence and Contrast. Knowledge Acquisition 1(4), 341–363 (1989)
Steyvers, M., Tannenbaum, J.: The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth. Cognitive Science 29(1) (2005)
Uschold, M., Gruninger, M.: Creating Semantically Integrated Communities on the World Wide Web. In: Semantic Web Workshop, WWW Conference, Honolulu, USA (2002) Invited Talk
Watts, D., Strogatz, S.: Collective Dynamics of Small World Networks. Nature 393, 440–442
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Juszczyszyn, K. (2006). Towards a Computational Framework for Modeling Semantic Interactions in Large Multiagent Communities. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_129
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DOI: https://doi.org/10.1007/11893011_129
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46542-3
Online ISBN: 978-3-540-46544-7
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