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Epistemic Profiles and Belief Structures
University of Warsaw, Poland.
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Intergrated Computer systems. Linköping University, The Institute of Technology.
2012 (English)In: Agent and Multi-Agent Systems. Technologies and Applications: 6th KES International Conference, KES-AMSTA 2012, Dubrovnik, Croatia, June 25-27, 2012. Proceedings / [ed] Gordan Jezic, Mario Kusek, Ngoc-Thanh Nguyen, Robert J. Howlett, Lakhmi C. Jain, Springer Berlin/Heidelberg, 2012, 360-369 p.Chapter in book (Refereed)
Abstract [en]

This book constitutes the refereed proceedings of the 6th KES International Conference on Agent and Multi-Agent Systems, KES-AMSTA 2012, held in Dubrovnik, Croatia, in June 2012. <br>The conference attracted a substantial number of researchers and practitioners from all over the world who submitted their papers for ten main tracks covering the methodology and applications of agent and multi-agent systems, one workshop (TRUMAS 2012) and five special sessions on specific topics within the field. The 66 revised papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on virtual organizations, knowledge and learning agents, intelligent workflow, cloud computing and intelligent systems, self-organization, ICT-based alternative and augmentative communication, multi-agent systems, mental and holonic models, assessment methodologies in multi-agent and other paradigms, business processing agents, Trumas 2012 (first international workshop), conversational agents and agent teams, digital economy, and multi-agent systems in distributed environments.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2012. 360-369 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 7327
Keyword [en]
Computer science, Data mining, Artificial intelligence, Computer simulation., Information Systems Applications, Computers and Society, Simulation and Modeling, Data Mining and Knowledge Discovery
National Category
Computer and Information Science
URN: urn:nbn:se:liu:diva-80270DOI: 10.1007/978-3-642-30947-2_40ISBN: 978-3-642-30946-5 (print)ISBN: e- 978-3-642-30947-2 OAI: diva2:546388
Available from: 2012-08-23 Created: 2012-08-23 Last updated: 2014-11-17Bibliographically approved

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