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Multi-Agent Based Simulation XVII - International Workshop, MABS 2016, Singapore, Singapore, May 10, 2016, Revised Selected Papers (Paperback, 1st ed. 2017) Loot Price: R1,804
Discovery Miles 18 040
Multi-Agent Based Simulation XVII - International Workshop, MABS 2016, Singapore, Singapore, May 10, 2016, Revised Selected...

Multi-Agent Based Simulation XVII - International Workshop, MABS 2016, Singapore, Singapore, May 10, 2016, Revised Selected Papers (Paperback, 1st ed. 2017)

Luis Gustavo Nardin, Luis Antunes

Series: Lecture Notes in Artificial Intelligence, 10399

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Loot Price R1,804 Discovery Miles 18 040 | Repayment Terms: R169 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Artificial Intelligence, 10399
Release date: October 2017
First published: 2017
Editors: Luis Gustavo Nardin • Luis Antunes
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 155
Edition: 1st ed. 2017
ISBN-13: 978-3-319-67476-6
Categories: Books > Computing & IT > Applications of computing > Computer modelling & simulation
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LSN: 3-319-67476-5
Barcode: 9783319674766

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