Agent-based computing / Duarte Bouca and Amaro Gafagnao, editors.

Format:

Book

Contributor:

Bouça, Duarte.

Gafagnão, Amaro.

Series:

Computer Science, Technology and Applications

Computer science, technology and applications

Language:

English

Subjects (All):

Intelligent agents (Computer software).

Distributed artificial intelligence.

Data mining.

Physical Description:

1 online resource (348 p.)

Edition:

1st ed.

Place of Publication:

New York : Nova Science Publishers, c2010.

Language Note:

English

Summary:

Multi-agent systems often deal with complex applications that require distributed problem solving. In many applications, the individual and collective behaviour of the agents depends on the observed data from distributed sources. This book discusses research issues concerned with the use of multi-agent systems for data mining.

Contents:

""AGENT-BASED COMPUTING ""; ""AGENT-BASED COMPUTING ""; ""CONTENTS ""; ""PREFACE ""; ""AGENT-BASED GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION ""; ""1. INTRODUCTION ""; ""2. CHAIN-LIKE AGENT GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION ""; ""2.1. Analysis of Algorithm ""; ""2.1.1. Chain-Like Agent Structure ""; ""2.1.2. Selection Process Based on Dynamic Neighboring Competition Strategy ""; ""2.1.3. Neighboring Crossover Process ""; ""2.1.4. Adaptive Mutation Process ""; ""2.1.5. Stop Criterion ""; ""2.1.6. Elitism Strategy""

""2.1.7. Realization of Algorithm """"2.2. Experimental Results ""; ""2.2.1. Global Numerical Optimization Experiments ""; ""2.2.2. Feature Selection Experiments""; ""2.3. Conclusions ""; ""3. MULTIPLE-POPULATION CHAIN-LIKE AGENT GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION ""; ""3.1. Analysis of Algorithm ""; ""3.1.1. Multi-Population Cycle Chain-Like Agent Structure ""; ""3.1.2. Genetic Operators""; ""3.1.3. Realization of Algorithm ""; ""3.1.4. Computational Complexity""; ""3.2. Experimental Results ""; ""3.2.1. Global Numerical Optimization Experiments ""

""3.2.2. Feature Selection Experiments""""3.3. Conclusions ""; ""CONCLUSIONS AND FUTURE WORK ""; ""ACKNOWLEDGMENTS""; ""REFERENCES ""; ""MULTI-AGENT ENTERPRISE SUSTAINABILITY PERFORMANCE MEASUREMENT SYSTEM""; ""ABSTRACT ""; ""INTRODUCTION ""; ""METHODOLOGY""; ""SUSTAINABILITY AGENT ""; ""1. The Selection of Suitable Indicators ""; ""2. Retrieving data from Data Repository Agent ""; ""3. Calculating the Weights of Indicators ""; ""4. Calculating Sustainability Performance Indices by Using MCDM Methods""; ""DATA REPOSITORY AGENT ""; ""ALERT MANAGEMENT AGENT ""; ""COMMUNICATION AGENT ""

""APPLICATION """"Sustainability Agent ""; ""Selecting the Proper Indicators ""; ""Retrieving the Data with Respect to the Indicators ""; ""Calculating the Importance Weights ""; ""Calculating the Performance Indices ""; ""Aggregate Ranking Using Copeland method ""; ""Calculating the Composite Sustainability Ranking Using Copeland method ""; ""ALERT MANAGEMENT AGENT ""; ""Communication Agent ""; ""DISCUSSION AND IMPLICATIONS ""; ""CONCLUSION ""; ""APPENDIX""; ""REFERENCES ""; ""A MODULAR ARTIFICIAL NEURAL NETWORK BASED DECISION MAKING IN A MULTI-AGENT ROBOT SOCCER SYSTEMS ""; ""ABSTRACT ""

""1. INTRODUCTION """"2. THE PROBLEM DESCRIPTION ""; ""3. THE BASIC ANN ARCHITECTURE ""; ""4. MODULAR ANN ARCHITECTURE ""; ""5. RESULTS AND DISCUSSION ""; ""CONCLUSION ""; ""REFERENCES""; ""SECURITY AND PRIVACY IN TRACK AND TRACE INFRASTRUCTURES ""; ""ABSTRACT ""; ""1. INTRODUCTION ""; ""1.1. Radio Frequency Identification ""; ""1.2. Track and Trace Infrastructures ""; ""2. SECURITY REQUIREMENTS ""; ""2.1. Confidentiality ""; ""2.2. Integrity ""; ""3. BATCH RECALLS ""; ""3.1. Example ""; ""3.2. Building Blocks ""; ""3.2.1. Identity-based Encryption ""; ""3.2.2. Boneh-Franklin Encryption ""

""3.2.3. Boneh-Boyen-Goh Encryption ""

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-61122-576-0

OCLC:

923657260