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Science of Computer Programming - Special issue on quality system and software architectures
Intelligent agents: are they feasible in Swarm-array computing?
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
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Landscape of intelligent cores: an autonomic multi-agent approach for space applications
ACS'09 Proceedings of the 9th WSEAS international conference on Applied computer science
Toward a smart world: vision-based adaptive surveillance
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WRAC'05 Proceedings of the Second international conference on Radical Agent Concepts: innovative Concepts for Autonomic and Agent-Based Systems
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Autonomic Computing arose out of a need for a means to cope with rapidly growing complexity of integrating, managing, and operating computer-based systems as well as a need to reduce the total cost of ownership of todayýs systems. Autonomic Computing (AC) as a discipline was proposed by IBM in 2001, with the vision to develop self-managing systems [1]. As the name implies, the influence for the new paradigm is the human body's autonomic system, which regulates vital bodily functions such as the control of heart rate, the bodyýs temperature and blood flow 驴 all without conscious effort. The vision is to create selfware through self-* properties. The initial set of properties, in terms of objectives, were self-configuring, self-healing, selfoptimizing and self-protecting, along with attributes of self-awareness, self-monitoring and self-adjusting. This self-* list has grown: self-anticipating, self-critical, selfdefining, self-destructing, self-diagnosis, self-governing, self-organized, self-reflecting, and self-simulation, for instance [2][3].