Abstract
The aim of this paper is to generalize the approaches used for developing hybrid intelligent systems based on integration of neural networks, fuzzy logic and genetic algorithms. The paper introduces the concepts of intelligent artificial life system (IALS) space as a generalized conceptual space which represents a framework for all possible integration schemes of such intelligence technologies. Concepts like order of intelligence, degree of intelligence and types of hybrid coupling are also illustrated. Based on such concepts, a proposed philosophy for hybrid integration schemes in the IALS space is presented and discussed.
Cite
CITATION STYLE
Hefny, H. A., Abdel Wahab, A. H., Bahnasawi, A. A., & Shaheen, S. I. (1999). A novel framework for hybrid intelligent systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1611, pp. 761–770). Springer Verlag. https://doi.org/10.1007/978-3-540-48765-4_81
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