Download Advanced Agent Technology: AAMAS 2011 Workshops, AMPLE, by Andrew W. Wicker, Jon Doyle (auth.), Francien Dechesne, PDF

By Andrew W. Wicker, Jon Doyle (auth.), Francien Dechesne, Hiromitsu Hattori, Adriaan ter Mors, Jose Miguel Such, Danny Weyns, Frank Dignum (eds.)

This ebook constitutes the completely refereed post-workshop court cases of five workshops, held on the tenth overseas convention on self sustaining brokers and Multiagent platforms, AAMAS 2011, in Taipei, Taiwan, could 2-6, 2011. The 37 revised complete papers provided including 1 invited paper have been rigorously reviewed and chosen from a number of submissions. The papers are prepared in sections at the workshops Agent-Based Modeling for coverage Engineering (AMPLE), Agent-Oriented software program Engineering (AOSE), independent Robots and Multirobot structures (ARMS), facts orientated optimistic Mining and Multi-Agent Simulation, hugely Multi-Agent structures: versions, equipment and instruments (DOCM³AS), and Infrastructures and instruments for Multiagent structures (ITMAS).

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Extra resources for Advanced Agent Technology: AAMAS 2011 Workshops, AMPLE, AOSE, ARMS, DOCM3AS, ITMAS, Taipei, Taiwan, May 2-6, 2011. Revised Selected Papers

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Hassan et al. [25] argue for data-driven agent-based simulation. They propose that available data is used in design of the model and its initialization, as well as for validation of simulation results. We further suggest that data can aid the choice of simulation methodology. Ghorbani et al. [21] develop a framework for agent-based social simulation design. The MAIA methodology is intended to be encompassing and generic, by combining the comprehensive Institutional Analysis and Development (IAD) framework from institutional economics and social science, and the OperA agentbased software development methodology that includes organizational aspects.

Each state is a possible unique behavior that the model develops, it contains a unique set of values and inequality statements (quantities) which describe the current behavior of the system. State transitions transform one state into another, by specifying the changes in values and in inequality statements. Each state may contain multiple transitions which enables multiple possible developments of the current state. A sequence of states connected by state transitions where each state is the immediate successor of the one before, is called a behavior path.

Clustering and fighting in two-party crowds: simulating the approach-avoidance conflict. Journal of Artificial Societies and Social Simulation 4(3) (2001) 8. : Qualitative reasoning beyond the physics domain: The density dependence theory of organizational ecology. In: Proceedings of QR 1995 (1995) 9. : Fuzzy cognitive maps: advances in theory, methodologies, tools and applications (studies in fuzziness and soft computing). Springer, Heidelberg (2010) 10. : Qualitative reasoning: modeling and simulation with incomplete knowledge.

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