Machine Understanding and Avoidance of Misunderstanding in Agent-directed Simulation and in Emotional Intelligence

نویسندگان

  • Tuncer Ören
  • Mohammad Kazemifard
  • Levent Yilmaz
چکیده

Simulation is being applied in many very important projects and often it is a vitally important infrastructure for them. Several types of computational intelligence techniques have been part of the abilities of simulation. An important aspect of intelligence is the ability to understand. Agent-directed simulation (ADS) is a comprehensive paradigm to cover all aspects of synergy of software agents and simulation and our approach is to develop agents with understanding abilities. After a brief review of ADS, our paradigms of machine understanding is presented. The article clearly indicates types of misunderstandings that might occur. Our research plans are to avoid some of the misunderstandings which could occur and especially to have selfattesting abilities in our applications to document which types of misunderstandings are avoided.

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تاریخ انتشار 2013