Title :
Information granulation and its centrality in human and machine intelligence
Author_Institution :
California Univ., Berkeley, CA, USA
Abstract :
Summary form only given. In a general setting, granulation involves a partitioning of a real or mental object into granules, with a granule being a clump of points (objects) drawn together by indistinguishability, similarity, proximity or functionality. Granulation is crisp or fuzzy depending on whether the granules are crisp or fuzzy. Fuzzy information granulation (IG) is central to human reasoning and concept formation. It is this aspect of fuzzy IG that underlies its essential role in the conception and design of information/intelligent systems. What is conclusive is that there are many, many tasks which humans can perform with ease and that no machine could perform without the use of fuzzy IG. This conclusion has a thought-provoking implication for AI: without the methodology of fuzzy IG in its armamentarium, AI cannot achieve its goals
Keywords :
artificial intelligence; fuzzy logic; concept formation; functionality; fuzzy information granulation; human intelligence; human reasoning; indistinguishability; information systems; intelligent systems; machine intelligence; partitioning; proximity; similarity; Cognition; Fuzzy logic; Fuzzy sets; Hair; Humans; Machine intelligence; Machinery; Magnetic heads; Natural languages; Uncertainty;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.625798