Many everyday dilemmas existing in the real world are complex and difficult to solve or fix, ranging from tax evasion to dispatching taxis to scheduling patient visits in hospitals, and much more. Within these complicated problems, however, lies the potential to be simplified or solved by intelligent agents and multi-agent systems.
Theoretical and Practical Frameworks for Agent-Based Systems tackles these real problems and many more, bringing the theoretical research of intelligent agents to researchers and practitioners in academia, government, and innumerable industries. Professionals and experts in every field ranging from education to healthcare and beyond will find this reference to be essential in the understanding of agents, and researchers currently working in the field of intelligent agents will benefit from this exciting examination of practical applications.
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Yu Zhang received her Ph.D. in Computer Science at Texas A&M University in 2005. She is currently Associate Professor in the Department of Computer Science at Trinity University and Director of the Laboratory for Distributed Intelligent Agent Systems. Dr. Zhang's research falls within Agent-Based Modeling and Simulation. Her research is currently supported by three NSF grants. She is editor in chief of the International Journal of Agent Technologies and Systems. She is also in the editorial board for several journals including The Transaction of Simulation, and in program committee for over 10 conferences and technical groups, such as Autonomous Agents and Multi-Agent Systems. She has regularly reviewed proposals for federal agencies. She is Program Co-Chair of Agent Directed Simulation of SCS SpringSim 2010. She is in the organizing committee of IEEE SMC 2009 and SCS SpringSim 2009. She is Program Chair of IEEE Women In Engineering Central Texas Chapter (CTC), Program Chair of IEEE SMC Society CTC, and Vice Chair of IEEE Computer Society CTC.
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