Multi-Agent Based Simulation XVII : International Workshop, MABS 2016, Singapore, Singapore, May 10, 2016, Revised Selected Papers / edited by Luis Gustavo Nardin, Luis Antunes.

Format:

Book

Contributor:

Nardin, Luis Gustavo, editor.

Antunes, Luis, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 10399.

Lecture Notes in Artificial Intelligence ; 10399

Language:

English

Subjects (All):

Artificial intelligence.

Computer simulation.

Computers.

Software engineering.

Artificial Intelligence.

Simulation and Modeling.

Computation by Abstract Devices.

Software Engineering.

Local Subjects:

Artificial Intelligence.

Simulation and Modeling.

Computation by Abstract Devices.

Software Engineering.

Physical Description:

1 online resource (IX, 155 pages) : 60 illustrations.

Edition:

First edition 2017.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2017.

System Details:

text file PDF

Summary:

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.

Contents:

Modeling 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.

Other Format:

Printed edition:

ISBN:

978-3-319-67477-3

9783319674773

Access Restriction:

Restricted for use by site license.