Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science: The PAAMS Collection | 23rd International Conference, PAAMS 2025, Lille, France, June 25-27, 2025, Proceedings

Philippe Mathieu (u. a.)

ISBN 10: 3032076374 / ISBN 13: 9783032076373

Published by Springer, 2025

About this Item

Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science: The PAAMS Collection | 23rd International Conference, PAAMS 2025, Lille, France, June 25-27, 2025, Proceedings | Philippe Mathieu (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvi | Englisch | 2025 | Springer | EAN 9783032076373 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 134289293

Bibliographic Details

• Title: Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science: The PAAMS Collection | 23rd International Conference, PAAMS 2025, Lille, France, June 25-27, 2025, Proceedings
• Publisher: Springer
• Publication Date: 2025
• Language: English
• ISBN 10: 3032076374
• ISBN 13: 9783032076373
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 23D millimeters 235 millimeters width by 155 millimeters height by 23 millimeters depth
• Weight: 628 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book constitutes the refereed proceedings of the 23rd International Conference on Practical applications of Agents and Multi-Agent Systems, PAAMS 2025, held in Lille, France, during June 25–27, 2025.

 

The 27 full papers and 9 short papers included in this book were carefully reviewed and selected from 57 submissions. The PAAMS 2025 proceedings focus on application and validation of agent-based models, methods, and technologies in a number of key application areas, including computational social science, digital twins, simulating complex systems, agents for social good, advanced models for learning, agent-based programming, distributed data analysis, automatic planning, decision-making, social interactions, formal and theoretic models, self-adaptation, mobile edge computing, swarms, and task allocation.