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The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information.

Machine learning --- Distributed artificial intelligence --- Computer Science --- Engineering & Applied Sciences --- 681.3*I2 <063> --- Learning, Machine --- Artificial intelligence --- Machine theory --- DAI (Artificial intelligence) --- Distributed AI (Artificial intelligence) --- Artificial intelligence. AI--Congressen --- 681.3*I2 <063> Artificial intelligence. AI--Congressen --- Computer science. --- Programming languages (Electronic computers). --- Artificial intelligence. --- Computer simulation. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Simulation and Modeling. --- Programming Languages, Compilers, Interpreters. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Fifth generation computers --- Neural computers --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial --- Informatics --- Science --- Congresses --- Artificial Intelligence. --- Machine learning - Congresses --- Distributed artificial intelligence - Congresses

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This book deals with an important topic in distributed AI: the coordination of autonomous agents' activities. It provides a framework for modelling agents with planning and communicative competence. Important issues in the book are: - How to recognize and reconcile conflicting intentions among a collection of agents. - How to recognize and take advantage of favorable interactions. - How to enable individual agents to represent and reason about the actions, plans, and knowledge of other agents in order to coordinate with them. - When to call a set of plans coordinated and what operations are possible to transform uncoordinated plans into coordinated ones. - How to enable agents to communicate and interact: what communication languages or protocols to use, and what and when to communicate. The book is clearly written with many examples and background material.

Artificial intelligence [Distributed ] --- Distributed artificial intelligence --- Gedistribueerde kunstmatige intelligentie --- Intelligence artificielle répartie --- Kunstmatige intelligentie [Gedistribueerde ] --- 681.3*I211 --- 681.3*H53 --- 681.3*H12 --- 681.3*I21 --- 681.3*I28 --- Computerwetenschap--?*I211 --- Information interfaces and presentation: group and organization interfaces --- User/machine systems: human factors; human information processing --- Applications and expert systems (Artificial intelligence). Cartography. Games. Industrial automation. Law. Medicine and science. Natural language interfaces. Office automation--See also {681.3*H4}; {681.3*J} --- Problem solving, control methods and search: backtracking; dynamic program- ming; graph and tree search strategies; heuristics; plan execution, formationand generation (Artificial intelligence)--See also {681.3*F22} --- 681.3*I28 Problem solving, control methods and search: backtracking; dynamic program- ming; graph and tree search strategies; heuristics; plan execution, formationand generation (Artificial intelligence)--See also {681.3*F22} --- 681.3*I21 Applications and expert systems (Artificial intelligence). Cartography. Games. Industrial automation. Law. Medicine and science. Natural language interfaces. Office automation--See also {681.3*H4}; {681.3*J} --- 681.3*H12 User/machine systems: human factors; human information processing --- 681.3*H53 Information interfaces and presentation: group and organization interfaces --- DAI (Artificial intelligence) --- Distributed AI (Artificial intelligence) --- Artificial intelligence --- Distributed artificial intelligence. --- Artificial intelligence. --- Computer science. --- Organization. --- Information technology. --- Artificial Intelligence. --- Models and Principles. --- IT in Business. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Organisation --- Management --- Informatics --- Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers