This work aims to introduce a new concept for incorporating fuzzy sets in hybrid deliberative/reactive paradigm. After a brief review on basic issues of hybrid paradigm the definition of agent-based fuzzy hybrid paradigm, which enables the agents to proceed and extract their behavior through quantitative numerical and qualitative knowledge and to impose their decision making procedure via fuzzy rule bank, is discussed. Next an example performs a more applied platform for the developed approach and finally an overview of the corresponding agents architecture enhances agents logical framework. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Sarmadi, H. (2004). Fuzzy Hybrid Deliberative/Reactive Paradigm (FHDRP). In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3228, pp. 281–286). Springer Verlag. https://doi.org/10.1007/978-3-540-30960-4_21
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