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More and more, software systems involve autonomous and distributed software components that have to execute and interact in open and dynamic environments, such as in pervasive, autonomous, and mobile applications. The requirements with respect to dynamics, openness, scalability, and decentralization call for new approaches to software design and development, capable of supporting spontaneous configuration, tolerating partial failures, or arranging adaptive reorganization of the whole system. Inspired by the behaviour of complex natural systems, scientists and engineers have started to adjust their mechanisms and techniques for self-organization and adaption to changing environments. In line with these considerations, Mamei and Zambonelli propose an interaction model inspired by the way masses and particles in our universe move and self-organize according to contextual information represented by gravitational and electromagnetic fields. The key idea is to have the components’ actions driven by computational force fields, generated by the components themselves or by some infrastructures, and propagated across the environment. Together with its supporting middleware infrastructure – available with additional information under http://www.agentgroup.unimore.it – this model can serve as the basis for a general purpose and widely applicable approach for the design and development of adaptive distributed applications.

Evolutionary programming (Computer science) --- Adaptive computing systems --- Distributed artificial intelligence. --- Embedded computer systems --- Design. --- Programming. --- DAI (Artificial intelligence) --- Distributed AI (Artificial intelligence) --- Artificial intelligence --- Adaptive computing --- Configurable computing systems --- Reconfigurable computing systems --- Computer systems --- Computer programming --- Information Technology --- Artificial Intelligence --- Artificial intelligence. --- Computer Communication Networks. --- Software engineering. --- Artificial Intelligence. --- Software Engineering. --- Computer software engineering --- Engineering --- 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 --- Computer communication systems. --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Distributed processing

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More and more, software systems involve autonomous and distributed software components that have to execute and interact in open and dynamic environments, such as in pervasive, autonomous, and mobile applications. The requirements with respect to dynamics, openness, scalability, and decentralization call for new approaches to software design and development, capable of supporting spontaneous configuration, tolerating partial failures, or arranging adaptive reorganization of the whole system. Inspired by the behaviour of complex natural systems, scientists and engineers have started to adjust their mechanisms and techniques for self-organization and adaption to changing environments. In line with these considerations, Mamei and Zambonelli propose an interaction model inspired by the way masses and particles in our universe move and self-organize according to contextual information represented by gravitational and electromagnetic fields. The key idea is to have the components' actions driven by computational force fields, generated by the components themselves or by some infrastructures, and propagated across the environment. Together with its supporting middleware infrastructure - available with additional information under http://www.agentgroup.unimore.it - this model can serve as the basis for a general purpose and widely applicable approach for the design and development of adaptive distributed applications.

Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- software engineering --- KI (kunstmatige intelligentie) --- computernetwerken --- robots

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This book constitutes the thoroughly refereed post-conference proceedings of the thirs International ICST conference on Autonomic Computing and Communication Systems, Autonomics 2009, held in Cyprus Univesity of Technology, Limassol, Cyprus, in September 2009. The 11 revised full papers out of 26 submitted and hosted 5 invited talks, covering various aspects of autonomic computing including application, middelware, networking protocols and evaluation.

Production management --- Computer science --- Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- betrouwbaarheid --- ICT (informatie- en communicatietechnieken) --- MIS (management informatie systeem) --- toegepaste informatica --- computers --- computerbesturingssystemen --- informatiesystemen --- informatica management --- OS (operating system) --- computernetwerken --- computerkunde