Multi-Agent-Based Simulation XIX [electronic resource] : 19th International Workshop, MABS 2018, Stockholm, Sweden, July 14, 2018, Revised Selected Papers / edited by Paul Davidsson, Harko Verhagen.
Contributor(s): Davidsson, Paul [editor.]
| Verhagen, Harko [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 11463Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: IX, 153 p. 104 illus., 85 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030222703.Subject(s): Artificial intelligence | Application software | Computers | Social sciences -- Data processing | Artificial Intelligence | Computer and Information Systems Applications | Computing Milieux | Computer Application in Social and Behavioral SciencesAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the thoroughly refereed post-conference proceedings of the 19th International Workshop on Multi-Agent-Based Simulation, MABS 2019, held in Stockholm Sweden, in July 2018 as part of the Federated AI Meeting, FAIM 2018. The 10 revised full papers included in this volume were carefully selected from 15 submissions. They focus on finding efficient solutions to model complex social systems in such areas as economics, management, and organisational and social sciences. In all these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, converge into simulation as a way of achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems.
This book constitutes the thoroughly refereed post-conference proceedings of the 19th International Workshop on Multi-Agent-Based Simulation, MABS 2019, held in Stockholm Sweden, in July 2018 as part of the Federated AI Meeting, FAIM 2018. The 10 revised full papers included in this volume were carefully selected from 15 submissions. They focus on finding efficient solutions to model complex social systems in such areas as economics, management, and organisational and social sciences. In all these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, converge into simulation as a way of achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems.
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