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Engineering Multi-Agent Systems : 8th International Workshop, EMAS 2020, Auckland, New Zealand, May 8-9, 2020, Revised Selected Papers / edited by Cristina Baroglio, Jomi F. Hubner, Michael Winikoff.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 12589
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 12589
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer networks.
- Software engineering.
- Computer engineering.
- Artificial Intelligence.
- Computer Communication Networks.
- Software Engineering.
- Computer Engineering and Networks.
- Local Subjects:
- Artificial Intelligence.
- Computer Communication Networks.
- Software Engineering.
- Computer Engineering and Networks.
- Physical Description:
- 1 online resource (XI, 153 pages) : 47 illustrations, 33 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Workshop on Engineering Multi-Agent Systems, EMAS 2020, held in Auckland, New Zealand, in May 2020. Due to the COVID-19 pandemic the conference was held virtually. The 10 revised full papers presented in this book were carefully selected and reviewed from 16 submissions. The papers cover a broad range of topics in the domains of agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning.
- Contents:
- Delivering Multi-Agent MicroServices using CArtAgO
- Aplib: Tactical Agents for Testing Computer Games
- Exploiting Simulation for MAS Development and Execution-The JaCaMo-sim Approach
- Fragility and Robustness in Multiagent Systems
- Fault Tolerance in Multiagent Systems
- Multi-Agent Control of Industrial Robot Vacuum Cleaners
- Orthos: A Trustworthy AI Framework For Data Acquisition
- Simulating Vehicular IoT Applications by Combining a Multi-agent System and Big Data
- Accept a Challenge: The Multi-Agent Programming Contest
- The Intention Progression Competition.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-66534-0
- 9783030665340
- Access Restriction:
- Restricted for use by site license.
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