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Innovative Approaches in Agent-Based Modelling and Business Intelligence

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Table of Contents

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    Book Overview
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    Chapter 1 Gallery for Evolutionary Computation and Artificial Intelligence Researches: Where Do We Come from and Where Shall We Go
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    Chapter 2 Mathematical Technologies and Artificial Intelligence Toward Human-Centric Innovation
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    Chapter 3 Study on the Social Perspectives of Traffic Congestion in Sri Lanka Through Agent-Based Modeling and Simulation: Lessons Learned and Future Prospects
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    Chapter 4 Information Technology and Finance
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    Chapter 5 Two Phase Transitions in the Adaptive Voter Model Based on the Homophily Principle
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    Chapter 6 Sensitivity Analysis in a Bayesian Network for Modeling an Agent
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    Chapter 7 Analyzing the Influence of Headline News on Credit Markets in Japan
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    Chapter 8 Consideration on an Integrated Approach to Solving Industrial Issues Through Surveys, Statistics, and Simulations
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    Chapter 9 U-Mart: 20-Year Experience of an Artificial Market Study
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    Chapter 10 What Do Agents Recognize? From Social Dynamics to Educational Experiments
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    Chapter 11 Model Prediction and Inverse Simulation
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    Chapter 12 Identification of High-Frequency Herding Behavior in the Chinese Stock Market: An Agent-Based Approach
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    Chapter 13 A Data Analysis Study on Factors of the Pedestrian Flows in Two Different Underground Malls Using Space Syntax Measures: Case Comparisons in Nagoya, Japan
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    Chapter 14 A Study on Agent Modeling of Tourist Evacuation Behaviors in an Earthquake: A Case Study of an Evacuation Simulation of Himeji Castle
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    Chapter 15 Virtual Grounding for Agent-Based Modeling in Incomplete Data Situation
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    Chapter 16 Analysis of Problem-Solving Processes
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    Chapter 17 The Energy Transition Game: Experiences and Ways Forward
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    Chapter 18 A Coevolutionary Opinion Model Based on Bounded Confidence, Reference Range, and Interactive Influence in Social Network
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    Chapter 19 Prof. Dr. Takao Terano as a Brilliant Educator
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Title
Innovative Approaches in Agent-Based Modelling and Business Intelligence
Published by
Springer Singapore, December 2018
DOI 10.1007/978-981-13-1849-8
ISBNs
978-9-81-131848-1, 978-9-81-131849-8
Editors

Kurahashi, Setsuya, Takahashi, Hiroshi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Student > Postgraduate 2 15%
Student > Ph. D. Student 2 15%
Other 1 8%
Researcher 1 8%
Other 1 8%
Unknown 3 23%
Readers by discipline Count As %
Business, Management and Accounting 2 15%
Economics, Econometrics and Finance 2 15%
Arts and Humanities 1 8%
Computer Science 1 8%
Agricultural and Biological Sciences 1 8%
Other 2 15%
Unknown 4 31%