Achieving intelligent agents and its feasibility in swarm-array computingVarghese, B. and McKee, G. T. (2009) Achieving intelligent agents and its feasibility in swarm-array computing. WSEAS Transactions on Computers, 8 (8). 1276 - 1285. ISSN 1109-2750 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Official URL: http://www.worldses.org/journals/computers/compute... Abstract/SummaryThe work reported in this paper proposes ‘Intelligent Agents’, a Swarm-Array computing approach focused to apply autonomic computing concepts to parallel computing systems and build reliable systems for space applications. Swarm-array computing is a robotics a swarm robotics inspired novel computing approach considered as a path to achieve autonomy in parallel computing systems. In the intelligent agent approach, a task to be executed on parallel computing cores is considered as a swarm of autonomous agents. A task is carried to a computing core by carrier agents and can be seamlessly transferred between cores in the event of a predicted failure, thereby achieving self-* objectives of autonomic computing. The approach is validated on a multi-agent simulator.
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