Multi agent systems involve a team of agents working together socially to accomplish a task. An agent can be social in many ways. One is when an agent helps others in solving complex problems. The field of multi agent systems investigates the process underlying distributed problem solving and designs some protocols and mechanisms involved in this process. This book presents a combination of different research issues which are pursued by researchers in the domain of multi agent systems.

This book constitutes the thoroughly refereed post-proceedings of the two International Workshops on Agent Communication, AC 2005 and AC 2006, held in Utrecht, Netherlands in July 2005 and in Hakodate, Japan in May 2006 as associated events of AAMAS 2005/2006. The 20 revised full papers cover semantics of agent communication, commitments in agent communication, protocols and strategies, as well as reliability and overhearing.

This book constitutes the thoroughly refereed post-conference proceedings of the 8th Pacific Rim International Workshop on Multi-Agents, PRIMA 2005, held in Kuala Lumpur, Malaysia, in September 2005. The 29 revised full papers and 2 keynote papers presented were carefully reviewed and selected from numerous submissions. The papers address many current topics in multi-agent research and development, ranging from theoretical and methodological issues to various applications in different fields.

"This book presents various applications of the growing perspective of agent technologies as they apply the web engineering"--Provided by publisher.

In multi-agent-based simulation (MABS) the behavior of individual actors is modeled in detail. The analysis and validation of these models is rated as difficult and requires support by innovative techniques and tools. Problems include model complexity, the amount and often qualitative representation of simulation results, and the typical dichotomy between microscopic modeling and macroscopic observation perspectives. In recent years, data mining has been increasingly applied as a support technique in this context. A particularly promising approach is found in the field of process mining. Due to its rooting in business process analysis, process mining shares several process- and organization-oriented analysis perspectives and use cases with agent-based modeling. This thesis proposes a conceptual framework for the systematic application of process mining to the analysis and validation of MABS. As a foundation, agent-oriented analysis perspectives and simulation-specific use cases are identified and complemented with methods, techniques, and results from the literature. A partial formalization of perspectives and use cases is sketched by utilizing concepts from process modeling and software engineering. Beyond the conceptual work, process mining is applied in two case studies related to different modeling and simulation approaches.

"The book presents, analyzes and compares the most significant methodological approaches currently available for the creation of agent-oriented software systems"--Provided by publisher.