Modern-day design problems focus on building systems that can operate independently in a networked and distributed environment while also interacting with other components.
Multi-agent systems have been reported to be effectively used in the modeling, designing, and implementation of distributed systems in computational contexts where a global control is almost missing.
With the increasing use of multi-agent systems as a modeling alternative, research in agent-based modeling is gaining momentum.
Advancements in Models and Applications of Agents and Multi-Agent Systems provides emerging research exploring the theoretical and practical aspects of agent-based systems and implementations within economics, engineering, and the business field.
Featuring coverage on a broad range of topics such as knowledge discovery, socio-ecological systems, and human-computer interfaces, this book is ideally designed for practitioners, researchers, developers, policymakers, academicians, engineers, educators, and students seeking research on modern developments in agent-based modeling.