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100   $a20091006d2010      uy             0
101 0 $aeng
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181   $ctxt
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183   $acr
200 00$aAgent-based computing$b[electronic resource] /$fDuarte Bouca and Amaro Gafagnao, editors
210   $aNew York $cNova Science Publishers$dc2010
215   $a1 online resource (348 p.)
225 0 $aComputer science, technology and applications
300   $aDescription based upon print version of record.
311   $a1-60876-684-5 
320   $aIncludes bibliographical references and index.
327   $a""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""
327   $a""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 ""
327   $a""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 ""
327   $a""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 ""
327   $a""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 ""
327   $a""3.2.3. Boneh-Boyen-Goh Encryption ""
410  0$aComputer Science, Technology and Applications
606   $aIntelligent agents (Computer software)
606   $aDistributed artificial intelligence
606   $aData mining
608   $aElectronic books.
615  0$aIntelligent agents (Computer software)
615  0$aDistributed artificial intelligence.
615  0$aData mining.
676   $a006.3
701   $aBouca$b Duarte$0932101
701   $aGafagnao$b Amaro$0932102
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906   $aBOOK
912   $a9910465433103321
996   $aAgent-based computing$92096752
997   $aUNINA