The work presents a modern, unified view on decision support and planning by considering its basics like preferences, belief, possibility and probability as wel

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding

Distributed decision making (DDM) has become of increasing importance in quantitative decision analysis. In applications like supply chain management, service o

This book is devoted to investigating and developing the synergy between software engineering for multi-agent systems and agent-based social simulation; it orig

At the crossroads of artificial intelligence, manufacturing engineering, operational research and industrial engineering and management, multi-agent based produ