Innovations in Multi-Agent Systems and Application – 1, Volume 1

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Dipti Srinivasan, Lakhmi C. Jain
Springer Science & Business Media, Aug 10, 2010 - Computers - 302 pages
In today’s world, the increasing requirement for emulating the behavior of real-world applications for achieving effective management and control has necessitated the usage of advanced computational techniques. Computational intelligence-based techniques that combine a variety of problem solvers are becoming increasingly pervasive. The ability of these methods to adapt to the dynamically changing environment and learn in an online manner has increased their usefulness in simulating intelligent behaviors as observed in humans. These intelligent systems are able to handle the stochastic and uncertain nature of the real-world problems. Application domains requiring interaction of people or organizations with different, even possibly conflicting goals and proprietary information handling are growing exponentially. To efficiently handle these types of complex interactions, distributed problem solving systems like multiagent systems have become a necessity. The rapid advancements in network communication technologies have provided the platform for successful implementation of such intelligent agent-based problem solvers. An agent can be viewed as a self-contained, concurrently executing thread of control that encapsulates some state and communicates with its environment, and possibly other agents via message passing. Agent-based systems offer advantages when independently developed components must interoperate in a heterogenous environment. Such agent-based systems are increasingly being applied in a wide range of areas including telecommunications, Business process modeling, computer games, distributed system control and robot systems.
 

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Contents

An Introduction to MultiAgent Systems
1
Hybrid MultiAgent Systems
29
A Framework for Coordinated Control of MultiAgent Systems
43
A Case Study of the California Electricity Crisis
68
Argument Mining from RADB and Its Usage in Arguing Agents and Intelligent Tutoring System
113
Grouping and Antipredator Behaviors for Multiagent Systems Based on Reinforcemen tLearning Scheme
148
An Overview
183
MultiAgent Technology for Fault Tolerant and Flexible Control
223
Timing Agent Interactions for Efficient AgentBased Simulation of SocioTechnical Systems
247
GroupOriented Service Provisioning in NextGeneration Network
277
Author Index
299
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