Abstract
The uncertainty which is involved in inductive inference, is often dealt with by simulating probability, possibility, or belief theories with digital computers, and by using heuristic methods of inference based on different kinds of logic (binary, multivalued or fuzzy). We suggest that uncertainty may be managed naturally by synergetic (co-operative), self-organizing, dynamic physical systems, which are trained and are regulated to function as pattern-association "computing machines".
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Ligomenides, P.A. (1991). Computation and uncertainty in regulated synergetic machines. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Uncertainty in Knowledge Bases. IPMU 1990. Lecture Notes in Computer Science, vol 521. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028128
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DOI: https://doi.org/10.1007/BFb0028128
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