國立虎尾科技大學 |

Innovative Approaches in Agent-Based Modelling and Business Intelligence

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Innovative Approaches in Agent-Based Modelling and Business Intelligence/ edited by Setsuya Kurahashi, Hiroshi Takahashi.
other author:	Kurahashi, Setsuya.
Description:	X, 284 p. 116 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Social policy. -
Online resource:	https://doi.org/10.1007/978-981-13-1849-8
ISBN:	9789811318498

Innovative Approaches in Agent-Based Modelling and Business Intelligence
Innovative Approaches in Agent-Based Modelling and Business Intelligence[electronic resource] /edited by Setsuya Kurahashi, Hiroshi Takahashi. - 1st ed. 2018. - X, 284 p. 116 illus.online resource. - Agent-Based Social Systems,121861-0803 ;. - Agent-Based Social Systems,13.

1. Gallery for Evolutionary Computation and Artificial Intelligence Researches - Where Do We Come from and Where Shall We Go -- 2. Mathematical Technologies and Artificial Intelligence Toward Human Centric Innovation -- 3.Study on the Social Perspectives of Traffic Congestion in Sri Lanka through Agent-based Modeling and Simulation: Lessons Learned and Future Prospects -- 4. Information Technology and Finance -- 5. Two Phase Transitions in the Adaptive Voter Model based on the Homophily Principle -- 6. Use of Sensibility Analysis in Bayesian Network for Modeling an Agent -- 7. Analyzing the Influence of Headline News on Credit Markets in Japan -- 8. Consideration on an Integrated Approach to Solving Industrial Issues through Surveys, Statistics, and Simulations -- 9. U-Mart, 20 Year Experience of an Artificial Market Study -- 10. What Do Agents Recognize? - From Social Dynamics to Educational Experiments -- 11. Model prediction and inverse simulation -- 12. Identification of High-Frequency Herding Behavior in the Chinese Stock Market: An Agent-Based Approach -- 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 -- 14. A Study on Agent Modeling of Tourist Evacuation Behaviors in an Earthquake: A Case Study of an Evacuation Simulation of Himeji Castle -- 15. Virtual Grounding for Agent-Based Modeling in Incomplete Data Situation -- 16. Analysis of Problem Solving Processes -- 17. The Energy Transition Game: experiences and ways forward -- 18. A Co-evolutionary Opinion Model based on Bounded Confidence, Reference Range and Interactive Influence in Social Network -- 19. Prof. Dr Takao Terano as a brilliant educator.

This book thoroughly prepares intermediate-level readers for research in social science, organization studies, economics, finance, marketing science, and business science as complex adaptive systems. It presents the advantages of social simulation studies and business intelligence to those who are not familiar with the computational research approach, and offers experienced modelers various instructive examples of using agent-based modeling and business intelligence approaches to inspire their own work. In addition, the book discusses cutting-edge techniques for complex adaptive systems using their applications. To date, business science studies have focused only on data science and analyses of business problems. However, using these studies to enhance the capabilities of conventional techniques in the fields has not been investigated adequately. This book addresses managing the issues of societies, firms, and organizations to profit from interaction with agent-based modeling, human- and computer- mixed systems, and business intelligence approaches, an area that is fundamental for complex but bounded rational business environments. With detailed research by leading authors in the field, Innovative Approaches in Agent-Based Modelling and Business Intelligence inspires readers to join with other disciplines and extend the scope of the book with their own unique contributions. It also includes the common challenges encountered in computational social science and business science to enable researchers, students, and professionals to resolve their own problems.

ISBN: 9789811318498

Standard No.: 10.1007/978-981-13-1849-8doiSubjects--Topical Terms:

555261
Social policy.

LC Class. No.: JF20-2112

Dewey Class. No.: 361

Innovative Approaches in Agent-Based Modelling and Business Intelligence
LDR:04735nam a22004095i 4500 001 989163
003 DE-He213
005 20200630211424.0
007 cr nn 008mamaa
008 201225s2018 si | s |||| 0|eng d
020 $a 9789811318498 $9 978-981-13-1849-8
024 7 $a 10.1007/978-981-13-1849-8 $2 doi
035 $a 978-981-13-1849-8
050 4 $a JF20-2112
072 7 $a KCP $2 bicssc
072 7 $a POL029000 $2 bisacsh
072 7 $a KCP $2 thema
072 7 $a JBF $2 thema
082 0 4 $a 361 $2 23
245 1 0 $a Innovative Approaches in Agent-Based Modelling and Business Intelligence $h [electronic resource] / $c edited by Setsuya Kurahashi, Hiroshi Takahashi.
250 $a 1st ed. 2018.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a X, 284 p. 116 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Agent-Based Social Systems, $x 1861-0803 ; $v 12
505 0 $a 1. Gallery for Evolutionary Computation and Artificial Intelligence Researches - Where Do We Come from and Where Shall We Go -- 2. Mathematical Technologies and Artificial Intelligence Toward Human Centric Innovation -- 3.Study on the Social Perspectives of Traffic Congestion in Sri Lanka through Agent-based Modeling and Simulation: Lessons Learned and Future Prospects -- 4. Information Technology and Finance -- 5. Two Phase Transitions in the Adaptive Voter Model based on the Homophily Principle -- 6. Use of Sensibility Analysis in Bayesian Network for Modeling an Agent -- 7. Analyzing the Influence of Headline News on Credit Markets in Japan -- 8. Consideration on an Integrated Approach to Solving Industrial Issues through Surveys, Statistics, and Simulations -- 9. U-Mart, 20 Year Experience of an Artificial Market Study -- 10. What Do Agents Recognize? - From Social Dynamics to Educational Experiments -- 11. Model prediction and inverse simulation -- 12. Identification of High-Frequency Herding Behavior in the Chinese Stock Market: An Agent-Based Approach -- 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 -- 14. A Study on Agent Modeling of Tourist Evacuation Behaviors in an Earthquake: A Case Study of an Evacuation Simulation of Himeji Castle -- 15. Virtual Grounding for Agent-Based Modeling in Incomplete Data Situation -- 16. Analysis of Problem Solving Processes -- 17. The Energy Transition Game: experiences and ways forward -- 18. A Co-evolutionary Opinion Model based on Bounded Confidence, Reference Range and Interactive Influence in Social Network -- 19. Prof. Dr Takao Terano as a brilliant educator.
520 $a This book thoroughly prepares intermediate-level readers for research in social science, organization studies, economics, finance, marketing science, and business science as complex adaptive systems. It presents the advantages of social simulation studies and business intelligence to those who are not familiar with the computational research approach, and offers experienced modelers various instructive examples of using agent-based modeling and business intelligence approaches to inspire their own work. In addition, the book discusses cutting-edge techniques for complex adaptive systems using their applications. To date, business science studies have focused only on data science and analyses of business problems. However, using these studies to enhance the capabilities of conventional techniques in the fields has not been investigated adequately. This book addresses managing the issues of societies, firms, and organizations to profit from interaction with agent-based modeling, human- and computer- mixed systems, and business intelligence approaches, an area that is fundamental for complex but bounded rational business environments. With detailed research by leading authors in the field, Innovative Approaches in Agent-Based Modelling and Business Intelligence inspires readers to join with other disciplines and extend the scope of the book with their own unique contributions. It also includes the common challenges encountered in computational social science and business science to enable researchers, students, and professionals to resolve their own problems.
650 0 $a Social policy. $3 555261
650 0 $a Economic policy. $3 555567
650 0 $a Economics. $3 555568
650 0 $a Economic theory. $3 809881
650 0 $a Behavioral economics. $3 1253716
650 0 $a Engineering economics. $3 1253802
650 0 $a Engineering economy. $3 632434
650 1 4 $a Social Policy. $3 669212
650 2 4 $a Economic Policy. $3 669185
650 2 4 $a Political Economy/Economic Systems. $3 1210824
650 2 4 $a Economic Theory/Quantitative Economics/Mathematical Methods. $3 1069071
650 2 4 $a Behavioral/Experimental Economics. $3 1102395
650 2 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 669171
700 1 $a Kurahashi, Setsuya. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1198744
700 1 $a Takahashi, Hiroshi. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 897689
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811318481
776 0 8 $i Printed edition: $z 9789811318504
830 0 $a Agent-Based Social Systems, $x 1861-0803 ; $v 13 $3 1262691
856 4 0 $u https://doi.org/10.1007/978-981-13-1849-8
912 $a ZDB-2-ECF
912 $a ZDB-2-SXEF
950 $a Economics and Finance (SpringerNature-41170)
950 $a Economics and Finance (R0) (SpringerNature-43720)