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The research of holonic and agent-based systems is developing rapidly, as is the community around this R&D topic. Despite the fact that real-life practical implementations of such systems remain surprisingly rare, the leaders in different branches of industry feel that the holonic and agent-based systems represent the only way to manage and control very complex, highly distributed systems in the future. The relevant R&D gains more and more support from both industry as well as academic sources. Quite naturally, the number of scientific events aimed at the subject field is also growing rapidly. We can see new lines of conferences like INDIN, while we can observe a strong focus of the already well-established conferences, like INCOM or ETFA, being shifted toward holonic and agent-based manufacturing systems. This is a good sign of the increasing recognition and importance of the field. We are convinced of the worth and importance of the continuation of the HoloMAS events, which have served as pioneering melting pots for ideas connected with distributed decision making and control in industry and which have already gained international reputation.

Computer integrated manufacturing systems --- Expert systems (Computer science) --- Manufacturing processes --- Fabrication intégrée par ordinateur --- Systèmes experts (Informatique) --- Fabrication --- Congresses. --- Automation --- Congrès --- Automatisation --- Computer Science --- Mechanical Engineering - General --- Industrial & Management Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Information Technology --- Artificial Intelligence --- Science. --- Production management. --- Artificial intelligence. --- Computer graphics. --- Application software. --- Computer-aided engineering. --- Science, general. --- Artificial Intelligence (incl. Robotics). --- Computer Appl. in Administrative Data Processing. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Operations Management. --- CAE --- Engineering --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Manufacturing management --- Industrial management --- Natural science --- Science of science --- Sciences --- Data processing --- Digital techniques --- Information systems. --- Computer aided design. --- Computer vision. --- Science, Humanities and Social Sciences, multidisciplinary. --- Artificial Intelligence. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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This book constitutes the refereed proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2009, held in Linz, Austria, August 31 - September 2, 2009. The 31 revised full papers presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on introduction & motivation, knowledge-centered approaches, selected theoretical aspects, MAS scheduling & simulation, holonic systems for manufacturing, and MAS & holonic applications.

Computer integrated manufacturing systems --- Expert systems (Computer science) --- Manufacturing processes --- Mechanical Engineering - General --- Computer Science --- Industrial & Management Engineering --- Engineering & Applied Sciences --- Mechanical Engineering --- Automation --- Information Technology --- Artificial Intelligence --- Computer science. --- Production management. --- Information technology. --- Business --- Artificial intelligence. --- Application software. --- Computer-aided engineering. --- Management information systems. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computer-Aided Engineering (CAD, CAE) and Design. --- Computer Appl. in Administrative Data Processing. --- Management of Computing and Information Systems. --- Operations Management. --- IT in Business. --- Data processing. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- CAE --- Engineering --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- 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 --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Manufacturing management --- Industrial management --- Informatics --- Science --- Communication systems --- Data processing --- Computer aided design. --- Information systems. --- Information Systems. --- Artificial Intelligence. --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- Business—Data processing.

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The challenge faced in today’s manufacturing and business environments is the question of how to satisfy increasingly stringent customer requirements while managing growing system complexity. For example, customers expect high-quality, customizable, low-cost products that can be delivered quickly. The systems that deliver these expectations are by nature distributed, concurrent, and stochastic, and, as a result, increasingly difficult to manage. Unfortunately, the traditional hierarchical, strictly centralized approach to control used in these domains is characteristically inflexible, fragile, and difficult to maintain. These shortcomings have led to the development of a new class of manufacturing and supply-chain decision-making approaches in recent years. Solutions based on these approaches usually explore a set of highly distributed decision-making units that are capable of autonomous operations while cooperating interactively to resolve larger problems. The units, referred to as agents in classical computer science and software engineering, or holons if physically integrated with the manufacturing hardware, interact by exchanging information. These units are motivated by arriving at local solutions as well as collaborating and sharing resources and goals in solving the overall problem in question collectively.

Artificial intelligence. --- Application software. --- Computer-aided engineering. --- Computers. --- Production management. --- Information technology. --- Business—Data processing. --- Artificial Intelligence. --- Computer Appl. in Administrative Data Processing. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Computing Milieux. --- Operations Management. --- IT in Business. --- Multi agent systems --- HoloMAS --- Holonic systems

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The challenge faced in today’s manufacturing and business environments is the question of how to satisfy increasingly stringent customer requirements while managing growing system complexity. For example, customers expect high-quality, customizable, low-cost products that can be delivered quickly. The systems that deliver these expectations are by nature distributed, concurrent, and stochastic, and, as a result, increasingly difficult to manage. Unfortunately, the traditional hierarchical, strictly centralized approach to control used in these domains is characteristically inflexible, fragile, and difficult to maintain. These shortcomings have led to the development of a new class of manufacturing and supply-chain decision-making approaches in recent years. Solutions based on these approaches usually explore a set of highly distributed decision-making units that are capable of autonomous operations while cooperating interactively to resolve larger problems. The units, referred to as agents in classical computer science and software engineering, or holons if physically integrated with the manufacturing hardware, interact by exchanging information. These units are motivated by arriving at local solutions as well as collaborating and sharing resources and goals in solving the overall problem in question collectively.

Artificial intelligence. --- Application software. --- Computer-aided engineering. --- Computers. --- Production management. --- Information technology. --- Business—Data processing. --- Artificial Intelligence. --- Computer Appl. in Administrative Data Processing. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Computing Milieux. --- Operations Management. --- IT in Business. --- Multi agent systems --- HoloMAS --- Holonic systems