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Multi-Agent Systems - Modeling, Interactions, Simulations and Case Studies
Edited by Faisal Alkhateeb, Eslam Al Maghayreh and Iyad Abu Doush, ISBN 978-953-307-176-3, Hard cover, 502 pages, Publisher: InTech, Published: April 01, 2011 under CC BY-NC-SA 3.0 license, in subject Information and Knowledge Engineering
DOI: 10.5772/1936
A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Multi-agent systems can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve. Agent systems are open and extensible systems that allow for the deployment of autonomous and proactive software components. Multi-agent systems have been brought up and used in several application domains.
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Book contents
- Chapter 1Agent-Based Modeling and Simulation of Species Formation Processes
- Chapter 2A Multi-Agent based Multimodal System Adaptive to the User’s Interaction Context
- Chapter 3Scenario-Based Modeling of Multi-Agent Systems
- Chapter 4Modelling Multi-Agent System using Different Methodologies
- Chapter 5The Agent Oriented Multi Flow Graphs Specification Model
- Chapter 6Multi-Agent Models in Workflow Design
- Chapter 7Evolutionary Reduction of the Complexity of Software Testing by Using Multi-Agent System Modeling Principles
- Chapter 8An Approach to Operationalize Regulative Norms in Multiagent Systems
- Chapter 9Agent-Environment Interaction in MAS - Introduction and Survey
- Chapter 10A Dependable Multi-Agent System with Self-Diagnosable Function
- Chapter 11Evolution of Adaptive Behavior toward Environmental Change in Multi-Agent Systems
- Chapter 12Evolutionary Adaptive Behavior in Noisy Multi-Agent System
- Chapter 13Data Mining for Decision Making in Multi-Agent Systems
- Chapter 14Decision Support based on Multi-Agent Simulation Algorithms with Resource Conversion Processes Apparatus Application
- Chapter 15Agent-based Simulation Analysis for Effectiveness of Financing Public Goods with Lotteries
- Chapter 16Integrating RFID in MAS through “Sleeping” Agents: a Case Study
- Chapter 17A Multi-Agent Approach to Electric Power Systems
- Chapter 18Multi-Agent Systems and Blood Cell Formation
- Chapter 19Identification of Relevant Genes with a Multi-Agent System using Gene Expression Data
- Chapter 20Collecting and Classifying Large Scale Data to Build an Adaptive and Collective Memory: a Case Study in e-Health for a Pro-active Management
- Chapter 21Developing a Multi-agent Software to Support the Creation of Dynamic Virtual Organizations aimed at Preventing Child Abuse Cases
- Chapter 22Obtaining Knowledge of Genes’ Behavior in Genetic Regulatory System by Utilizing Multiagent Collaborative Computation