Multi-Agent Systems - Modeling, Interactions, Simulations and Case Studies

512 Pages·16.94 MB·English

by  Alkhateeb F., Al Maghayreh E., Abu Doush I. (eds.)

MULTI(cid:883)AGENT SYSTEMS (cid:883)
MODELING, INTERACTIONS,
SIMULATIONS AND
CASE STUDIES
Edited by Faisal Alkhateeb,
Eslam Al Maghayreh and Iyad Abu Doush
Multi-Agent Systems - Modeling, Interactions, Simulations and Case Studies
Edited by Faisal Alkhateeb, Eslam Al Maghayreh and Iyad Abu Doush
Published by InTech
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First published March, 2011
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Multi-Agent Systems - Modeling, Interactions, Simulations and Case Studies
Edited by Faisal Alkhateeb, Eslam Al Maghayreh and Iyad Abu Doush
p. cm.
ISBN 978-953-307-176-3
free online editions of InTech
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Contents
Preface IX
Part 1 Multi-Agent Systems Modeling 1
Chapter 1 Agent-Based Modeling and Simulation
of Species Formation Processes 3
Rafal Drezewski
Chapter 2 A Multi-Agent based Multimodal System
Adaptive to the User’s Interaction Context 29
Manolo Dulva Hina, Chakib Tadj,
Amar Ramdane-Cherif and Nicole Levy
Chapter 3 Scenario-Based Modeling of Multi-Agent Systems 57
Armin Stranjak, Igor Čavrak and Mario Žagar
Chapter 4 Modelling Multi-Agent System
using Different Methodologies 77
Vera Maria B. Werneck, Rosa Maria E. Moreira Costa
and Luiz Marcio Cysneiros
Chapter 5 The Agent Oriented Multi Flow
Graphs Specification Model 97
I. D. Zaharakis
Chapter 6 Multi-Agent Models in Workflow Design 131
Victoria Iordan
Chapter 7 Evolutionary Reduction of the Complexity
of Software Testing by Using Multi-Agent
System Modeling Principles 149
Arnicans G. and Arnicane V.
Chapter 8 An Approach to Operationalize Regulative
Norms in Multiagent Systems 175
Carolina Howard Felicíssimo, Jean-Pierre Briot
and Carlos José Pereira de Lucena
VI Contents
Part 2 Interaction and Decision Making
on Agent Environments 201
Chapter 9 Agent-Environment Interaction
in MAS - Introduction and Survey 203
Joonas Kesäniemi and Vagan Terziyan
Chapter 10 A Dependable Multi-Agent System
with Self-Diagnosable Function 227
Keinosuke Matsumoto, Akifumi Tanimoto and Naoki Mori
Chapter 11 Evolution of Adaptive Behavior toward
Environmental Change in Multi-Agent Systems 241
Atsuko Mutoh, Hideki Hashizume, Shohei Kato and Hidenori Itoh
Chapter 12 Evolutionary Adaptive Behavior
in Noisy Multi-Agent System 255
Takamasa Iio, Ivan Tanev, Katsunori Shimohara and Mitsunori Miki
Chapter 13 Data Mining for Decision Making
in Multi-Agent Systems 273
Hani K. Mahdi, Hoda K. Mohamed and Sally S. Attia
Part 3 Multi-Agent Systems Simulation 299
Chapter 14 Decision Support based on Multi-Agent
Simulation Algorithms with Resource Conversion
Processes Apparatus Application 301
Konstantin Aksyonov, Eugene Bykov, Leonid Dorosinskiy,
Elena Smoliy and Olga Aksyonova
Chapter 15 Agent-based Simulation Analysis for Effectiveness
of Financing Public Goods with Lotteries 327
Ichiro Nishizaki, Tomohiko Sasaki and Tomohiro Hayashida
Part 4 Case Studies 357
Chapter 16 Integrating RFID in MAS through
“Sleeping” Agents: a Case Study 359
Vincenzo Di Lecce , Alberto Amato and Marco Calabrese
Chapter 17 A Multi-Agent Approach to Electric Power Systems 369
Nikolai I. Voropai, Irina N. Kolosok, Lyudmila V. Massel,
Denis A. Fartyshev, Alexei S. Paltsev and Daniil A. Panasetsky
Chapter 18 Multi-Agent Systems and Blood Cell Formation 395
Bessonov Nikolai, Demin Ivan, Kurbatova Polina,
Pujo-Menjouet Laurent and Volpert Vitaly
Contents VII
Chapter 19 Identification of Relevant Genes with
a Multi-Agent System using Gene Expression Data 425
Edna Márquez, Jesús Savage, Christian Lemaitre,
Jaime Berumen, Ana Espinosa and Ron Leder
Chapter 20 Collecting and Classifying Large Scale Data
to Build an Adaptive and Collective Memory:
a Case Study in e-Health for a Pro-active Management 439
Singer Nicolas, Trouilhet Sylvie, Rammal Ali and Pécatte Jean-Marie
Chapter 21 Developing a Multi-agent Software to Support
the Creation of Dynamic Virtual Organizations
aimed at Preventing Child Abuse Cases 455
Pedro Sanz Angulo and Juan José de Benito Martín
Chapter 22 Obtaining Knowledge of Genes’ Behavior
in Genetic Regulatory System by Utilizing
Multiagent Collaborative Computation 475
Adang Suwandi Ahmad and Arwin Datumaya Wahyudi Sumari

Preface
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 diffi cult or im-
possible 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
soft ware components. Multi-agent systems have been brought up and used in several
application domains. This book is a collection of 22 excellent works on multi-agent
systems divided into four sections: Multi-Agent Systems Modeling, Interaction and
Decision Making on Agent Environments, Multi-Agent Systems Simulation and Case
Studies.
Faisal Alkhateeb, Eslam Al Maghayreh and Iyad Abu Doush,
Yarmouk University,
Jordan