Multi Agent Based Simulation Vi
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Multi-Agent-Based Simulation VI
Author: Jaime S. Sichman
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-04-18
This volume groups together the papers accepted for the 6th InternationalWorkshop on Multi-Agent-Based Simulation (MABS 2005), co-located with the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), which occurred in Utrecht, The Netherlands, on July 25, 2005.
Multi-Agent-Based Simulation VI
This book constitutes the thoroughly refereed post-proceedings of the 6th International Workshop on Multi-Agent-Based Simulation, MABS 2005, held in Utrecht, The Netherlands in July 2005 as an associated event of AAMAS 2005, the main international conference on autonomous agents and multi-agent systems. The 12 revised full papers presented together with 1 invited talk were carefully reviewed. The papers are organized in topical sections on coalition emergence, theories and models, applications, and environments.
Agents and Multi-agent Systems: Technologies and Applications 2019
This book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business- process management, agent-based modeling and simulation, and anthropic-oriented computing, which were originally presented at the 13th International KES Conference on Agents and Multi-Agent Systems – Technologies and Applications (KES-AMSTA 2019) held June 17–19, 2019 at St George’s Bay, St. Julians, Malta. Today’s economy is driven by technologies and knowledge. Digital technologies can free, shift and multiply choices, and often intrude on the territory of other industries by providing new ways of conducting business operations and creating value for customers and companies. As such, the book covers topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature inspired manufacturing, all of which contribute to the modern digital economy. The research presented is of value to researchers and industrial practitioners working in the fields of artificial intelligence, collective computational intelligence, innovative business models, the new digital and knowledge economy and, in particular, agent and multi-agent systems, technologies, tools and applications.