Multi-Agent Based Simulation XVII [electronic resource] : International Workshop, MABS 2016, Singapore, Singapore, May 10, 2016, Revised Selected Papers / edited by Luis Gustavo Nardin, Luis Antunes.
Contributor(s): Nardin, Luis Gustavo [editor.] | Antunes, Luis [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 10399Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: IX, 155 p. 60 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319674773.Subject(s): Artificial intelligence | Computer simulation | Computer science | Software engineering | Artificial Intelligence | Computer Modelling | Theory of Computation | Software EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access onlineModeling and analyzing multi-agent systems -- Applying agent-based simulation techniques to real-world problems -- The confluence of socio-technical- natural sciences and multi-agents systems with a strong application/empirical vein -- Exploratory agent-based simulation as a principled way of undertaking scientific research in the social sciences -- Social theories as an inspiration to new frameworks and developmentsin multi-agent systems.
This book constitutes the thoroughly refereed post-conference proceedings of the 17th International Workshop on Multi-Agent-Based Simulation, MABs 2016, held in Singapore, in May 2016. The workshop was held in Conjunction with the 15th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2016. The 10 revised full papers included in this volume were carefully selected from 15 submissions. The topic of the papers is about modeling and analyzing multi-agent systems and applying agent-based simulation techniques to real-world problems, focusing on the confluence of socio-technical- natural sciences and multi-agents systems with a strong application/empirical vein. Special emphasis is given on exploratory agent-based simulation as a principled way of undertaking scientific research in the social sciences and on using social theories as an inspiration to new frameworks and developments in multi-agent systems.
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