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Intro; Preface; Contents; 1 Gallery for Evolutionary Computation and Artificial Intelligence Researches: Where Do We Come from and Where Shall We Go; 1.1 The Shape of Jazz to Come: Introduction; 1.2 A Child Is Born: When Experimental Methods Started; 1.3 Now or Never: Why Not Now; 1.4 Pick Up the Pieces: What Are Elements; 1.5 Place to Be: Where Should We Focus On; 1.6 Act Your Age: Which Way to Go; 1.7 Adios Nonino: Concluding Remarks; References; 2 Mathematical Technologies and Artificial Intelligence Toward Human-Centric Innovation; 2.1 Introduction; 2.2 Social Mathematics Approaches
2.3 Case Studies2.3.1 Congestion Reduction in a Place Where People Gather: The Case of Fukuoka Airport (Fujitsu Press Releases 2015; Yamada et al. 2017); 2.3.1.1 Background; 2.3.1.2 Problem Situation; 2.3.1.3 System Design Process; 2.3.2 Promotion of Relocation from Urban Areas to Countryside: The Case of Itoshima City (Fujitsu Press Releases 2016); 2.3.2.1 Background; 2.3.2.2 Problem Situation; 2.3.2.3 System Design Process; 2.3.3 Support of Daycare Admissions Screening: The Case of Saitama City (Fujitsu Press Releases 2017); 2.3.3.1 Background; 2.3.3.2 Problem Situation
2.3.3.3 System Design Process2.4 Discussion; 2.4.1 Development Technologies; 2.4.2 System Design Processes; 2.4.2.1 Step 2 System Development; 2.4.2.2 Step 3 System Evaluation; 2.5 Conclusion; References; 3 Study on the Social Perspectives of Traffic Congestion in Sri Lanka Through Agent-Based Modeling and Simulation: Lessons Learned and Future Prospects; 3.1 Introduction; 3.2 Complexity, Agent-Based Modeling, and Traffic Simulation; 3.3 The Seepage Behavior and Its Impact on Road Traffic; 3.4 Future Prospects; 3.5 Conclusion; References; 4 Information Technology and Finance; 4.1 Introduction
4.2 Influence of Information Technology4.2.1 On Occupation; 4.2.2 On Corporations; 4.2.3 On Organizations; 4.2.4 On Financial Research; 4.3 Application to Financial Analysis: Agent-Based Model; 4.3.1 Model; 4.3.2 Outline of Experimental Results: Effectiveness of Fundamental Index; 4.4 Conclusion; References; 5 Two Phase Transitions in the Adaptive Voter Model Based on the Homophily Principle; 5.1 Introduction; 5.2 Related Work; 5.3 Homophily Principle; 5.4 Generalized Adaptive Voter Model; 5.5 Simulation; 5.5.1 Objective; 5.5.2 Method; 5.5.3 Network Evolution; 5.5.4 Global Consensus
5.5.5 Fragmentation Transition5.5.6 Phase Diagram; 5.5.7 Modularity Change; 5.6 Conclusion; References; 6 Sensitivity Analysis in a Bayesian Network for Modeling an Agent; 6.1 Introduction; 6.2 Related Work; 6.2.1 Bayesian Network; 6.2.2 Feature Selection; 6.3 Proposed Method; 6.4 Case Study of Healthcare Home Electronics: Blood-Pressure Monitor and Activity Monitor; 6.4.1 Consumer Survey Data Used; 6.4.2 Fundamental Statistical Results; 6.4.3 Learned Bayesian Network Structure; 6.4.3.1 Features or Attributes; 6.4.3.2 Feature Selection; 6.4.3.3 Graph Structures of Bayesian Network
2.3 Case Studies2.3.1 Congestion Reduction in a Place Where People Gather: The Case of Fukuoka Airport (Fujitsu Press Releases 2015; Yamada et al. 2017); 2.3.1.1 Background; 2.3.1.2 Problem Situation; 2.3.1.3 System Design Process; 2.3.2 Promotion of Relocation from Urban Areas to Countryside: The Case of Itoshima City (Fujitsu Press Releases 2016); 2.3.2.1 Background; 2.3.2.2 Problem Situation; 2.3.2.3 System Design Process; 2.3.3 Support of Daycare Admissions Screening: The Case of Saitama City (Fujitsu Press Releases 2017); 2.3.3.1 Background; 2.3.3.2 Problem Situation
2.3.3.3 System Design Process2.4 Discussion; 2.4.1 Development Technologies; 2.4.2 System Design Processes; 2.4.2.1 Step 2 System Development; 2.4.2.2 Step 3 System Evaluation; 2.5 Conclusion; References; 3 Study on the Social Perspectives of Traffic Congestion in Sri Lanka Through Agent-Based Modeling and Simulation: Lessons Learned and Future Prospects; 3.1 Introduction; 3.2 Complexity, Agent-Based Modeling, and Traffic Simulation; 3.3 The Seepage Behavior and Its Impact on Road Traffic; 3.4 Future Prospects; 3.5 Conclusion; References; 4 Information Technology and Finance; 4.1 Introduction
4.2 Influence of Information Technology4.2.1 On Occupation; 4.2.2 On Corporations; 4.2.3 On Organizations; 4.2.4 On Financial Research; 4.3 Application to Financial Analysis: Agent-Based Model; 4.3.1 Model; 4.3.2 Outline of Experimental Results: Effectiveness of Fundamental Index; 4.4 Conclusion; References; 5 Two Phase Transitions in the Adaptive Voter Model Based on the Homophily Principle; 5.1 Introduction; 5.2 Related Work; 5.3 Homophily Principle; 5.4 Generalized Adaptive Voter Model; 5.5 Simulation; 5.5.1 Objective; 5.5.2 Method; 5.5.3 Network Evolution; 5.5.4 Global Consensus
5.5.5 Fragmentation Transition5.5.6 Phase Diagram; 5.5.7 Modularity Change; 5.6 Conclusion; References; 6 Sensitivity Analysis in a Bayesian Network for Modeling an Agent; 6.1 Introduction; 6.2 Related Work; 6.2.1 Bayesian Network; 6.2.2 Feature Selection; 6.3 Proposed Method; 6.4 Case Study of Healthcare Home Electronics: Blood-Pressure Monitor and Activity Monitor; 6.4.1 Consumer Survey Data Used; 6.4.2 Fundamental Statistical Results; 6.4.3 Learned Bayesian Network Structure; 6.4.3.1 Features or Attributes; 6.4.3.2 Feature Selection; 6.4.3.3 Graph Structures of Bayesian Network