Critical trigger mechanism: a modeling paradigm for cognitive science application in the design of artificial learning systems

  • Authors:
  • Jack Allen;Sukanto Bhattacharya

  • Affiliations:
  • School of Accounting and Finance, Griffith University (Gold Coast), PMB 50 Gold Coast mail Centre, Queensland;School of Information Technology, Bond University, Gold Coast, Queensland 4229, Australia

  • Venue:
  • Smarandache Notions Journal
  • Year:
  • 2002

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Abstract

In our present short paper we introduce a rather promising modeling paradigm for the design of artificial learning systems, incorporating critical trigger mechanism (CTM). We contend that at various stages of the learning process, such trigger mechanism may be activated when certain 'critical' points in the learning curve are attained. Such points are marked by fuzzification of the learner's decision set. At all other 'non-critical' points where the decision set is crisp, this trigger mechanism lies dormant. We proceed to show that identification and subsequent incorporation of such trigger mechanisms will be of substantial help in modeling learning systems that closely emulate cognitive learning pattern of the human mind. This is not a complete work in any sense but just an indication of what is to come - a mere map of the long and challenging road ahead.