Abstract
The apparent lack of suitable active agent paradigms for Canonical Graph Models motivated the development of an integrated actor paradigm for the representation and manipulation of various types of knowledge. An actor paradigm called "Intelligent Control Script" has been designed and implemented for the representation and manipulation of both domain dependent and domain independent knowledge, including reasoning knowledge, strategic and control knowledge, and planning knowledge. The incorporation of semantic networks as the message carrier for the message passing mechanism extends the actor paradigm to complex knowledge processing. Complex control transfer mechanisms enable the actor paradigm to take full advantage of static schemes such as frames and Canonical Graph Models. Models exhibiting novel (dynamic) character have now been enabled and complex abstractions actualised for problem solving.
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Garner, B., Lukose, D. (1990). Integrated actor paradigm for knowledge based systems. In: Ramani, S., Chandrasekar, R., Anjaneyulu, K.S.R. (eds) Knowledge Based Computer Systems. KBCS 1989. Lecture Notes in Computer Science, vol 444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0018378
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DOI: https://doi.org/10.1007/BFb0018378
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