Abstract
In complex domains, the decisions have to be based on information from various sources. Distributed environment DISCIM, based on multi-agent ideas, has been developed to support the necessary information exchange and distributed processing. This paper describes DISCIM specific methods allowing to create new agents from programs developed as stand-alone, originally. This is the case of a neural network emulator, of a qualitative reasoning system and of a data-base system POSTGRES — the “agentification” of all of them is treated in detail. Attention is devoted to comparison of the DISCIM system with other existing systems.
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Mařík, V., Štěpánková, O., Flek, O., Kout, J. (1996). Cooperative agents in DISCIM environment. In: Wagner, R.R., Thoma, H. (eds) Database and Expert Systems Applications. DEXA 1996. Lecture Notes in Computer Science, vol 1134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0034694
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DOI: https://doi.org/10.1007/BFb0034694
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