Abstract
In the real world, many sophisticated AI problems are decentralized, vague, and cooperative in the issues of problem solving and knowledge manipulation. Therefore, we need an effective framework suitable for modeling the problem-solving activities realized by multiple actors, which may employ various reasoning schemes according to different conditions, with vague domain knowledge and communication manner. Obviously, object-oriented paradigm [2] is an adequate solution due to the characteristics of encapsulation, modularization, polymorphism, inheritance, and message passing. In fact, in recent years, object-oriented modeling approach has been applied to AI topics [5,1,8,3,7,4].
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Horng, MF., Lee, SC., Kuo, YH. (2003). Object-Oriented Framework of Fuzzy Knowledge Systems. In: Lee, J. (eds) Software Engineering with Computational Intelligence. Studies in Fuzziness and Soft Computing, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36423-8_8
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DOI: https://doi.org/10.1007/978-3-540-36423-8_8
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