Theoretical and Practical Frameworks for Agent-Based Systems

Theoretical and Practical Frameworks for Agent-Based Systems

Yu Zhang
Release Date: May, 2012|Copyright: © 2012 |Pages: 343
DOI: 10.4018/978-1-4666-1565-6
ISBN13: 9781466615656|ISBN10: 1466615656|EISBN13: 9781466615663
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Agent languages
  • Conceptual agent frameworks
  • Developmental and cognitive agents
  • Emergent behavior in agents and agent societies
  • Ethical and legal issues pertaining to agents
  • Inter-agent interaction
  • Knowledge Management and Ontologies
  • Multi-Agent Systems
  • Robot teams
  • Software and pervasive agents
Reviews & Statements

Agent-based systems have long eluded the collaboration system, health sciences, business and management sciences, social sciences, and many more disciplines as viable tools. This is in part due to the fact that objects' in the world actions and interactions do not adhere to well defined rules. However, recent advances in studying both decision theory and organization theory have provided insight into the mechanics behind behavior either by human or other creatures. In order to provide these disciplines with a viable tool, agent-based systems must provide a proper computational model of both decision-making and social interaction then these structures and institutions and the cognitive capabilities of the agents that comprise them must be modeled to a level where computational complexity is not sacrificed on the behalf of realism. This volume presents a contribution to this goal. By employing realistic models based off of recent advances in decision making and social interaction, we are able to reproduce realistic behavior based on rational agents.

– Yu Zhang, Trinity University, USA
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Editor/Author Biographies
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 St. John's University. Dr. Zhang’s research falls within Agent-Based Modeling and Simulation. She is in the editor-in-chief of the International Journal of Agent Technologies and Systems, the editor-in-chief of the Newsletter of the Society for Modeling & Simulation International, and an associate editor of the SCS Transactions of Simulation. Dr. Zhang served as the Program Co-Chair of the Agent Directed Simulation Symposium in the SCS SpringSim Multi-Conference from 2009 to 2013. From 2005-2011, she was Program Chair of the IEEE Women In Engineering Central Texas Chapter (CTC), Program Co-Chair of the IEEE SMC Society CTC, and Vice Chair of the IEEE Computer Society CTC. She received the 2009 SCS Service Recognition, 2008 Trinity Distinguish Junior Faculty Award, 2007 IEEE CTC Service Recognition, and Best Paper Award of the 2008 IEEE Region 5 Student Paper Competition.
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