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The Equilibrium of Agent Mind: The Balance Between Agent Theories and Practice

  • Nikhil Ichalkaranje
  • Christos Sioutis
  • Jeff Tweedale
  • Pierre Urlings
  • Lakhmi Jain
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4252)

Abstract

This paper outlines the abridged history of agent reasoning theories as ‘agent mind’ from the perspective of its implementation inspired by new trends such as ‘teaming’ and ‘learning’. This paper covers how the need for such new notions in agent technology introduced a change in fundamental agent theories and how it can be balanced by inducing some original cognitive notions from the field of ‘artificial mind’. This paper concentrates on the popular agent reasoning notion of Belief Desire Intention (BDI) and outlines the importance of the human-centric agent reasoning model as a step towards the next generation of agents to bridge the gap between human and agent. The current trend including the human-centric nature of agent mind and humanagent teaming is explained, and its needs and characteristics are also explained. This paper reports add-on implementation on BDI in order to facilitate humancentric nature of agent mind. This human-centric nature and concepts such as teaming agreements are utilised to aid human-agent teaming in a simulated environment. The issues in order to make agents more human-like or receptive are outlined.

Keywords

Multiagent System Agent Theory Agent Technology Belief Desire Intention Agent Orient Software 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Nikhil Ichalkaranje
    • 1
  • Christos Sioutis
    • 2
  • Jeff Tweedale
    • 2
  • Pierre Urlings
    • 2
  • Lakhmi Jain
    • 1
  1. 1.School of Electrical and Information EngineeringUniversity of South Australia 
  2. 2.Airborne Mission SystemsDefence Science and Technology Organisation 

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