A Knowledge Representation Language for Natural Language Processing, Simulation and Reasoning

نویسندگان

  • Marjorie McShane
  • Sergei Nirenburg
چکیده

OntoAgent is an environment that supports the cognitive modeling of societies of intelligent agents that emulate human beings. Like traditional intelligent agents, OntoAgent agents execute the core functionalities of perception, reasoning and action. Unlikemost traditional agents, they engage in extensive \translation" functions in order to render perceived inputs into the unambiguous, ontologically-grounded knowledge representation language (KRL) that is used to model their knowledge, memory and reasoning. This paper describes the KRL of OntoAgent with a special focus on the many runtime functions used to translate between perceived inputs and the KRL, as well as to manipulate KRL structures for reasoning and simulation.

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عنوان ژورنال:
  • Int. J. Semantic Computing

دوره 6  شماره 

صفحات  -

تاریخ انتشار 2012