Achieving intelligent agents and its feasibility in swarm-array computing?

  • Authors:
  • Blesson Varghese;Gerard Mckee

  • Affiliations:
  • Active Robotics Laboratory, School of Systems Engineering, University of Reading, Reading, Berkshire, United Kingdom;Active Robotics Laboratory, School of Systems Engineering, University of Reading, Reading, Berkshire, United Kingdom

  • Venue:
  • WSEAS Transactions on Computers
  • Year:
  • 2009

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Abstract

The 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.