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Featured researches published by Michael Stob.


international symposium on intelligent control | 1990

A situation-based approach to approximate truth

Daniel N. Osherson; Michael Stob; Scott Weinstein

The authors have been exploring an alternative approach to fuzzy logic which preserves the standard conception of set membership. Similarity between situations is used to construct a theory of approximate truth. The theory is embedded in a first-order logical framework, and an attempt is made to provide an intuitive understanding of its leading ideas. An algorithm is described for determining the approximate truth-value of predicate logic sentences in a given situation.<<ETX>>


Computational neuroscience | 1993

Modular learning

Daniel N. Osherson; Scott Weinstein; Michael Stob


Archive | 1986

An analysis of a learning paradigm

Daniel Osherson; Michael Stob; Scott Weinstein


conference on learning theory | 1990

A mechanical method of successful scientific inquiry

Daniel N. Osherson; Michael Stob; Scott Weinstein


Archive | 1990

Other Paradigms of Learning

Daniel N. Osherson; Michael Stob; Scott Weinstein


Archive | 1990

Topological Perspective on Learning

Daniel N. Osherson; Michael Stob; Scott Weinstein


Archive | 1990

Sufficient Input for Learning

Daniel N. Osherson; Michael Stob; Scott Weinstein


Archive | 1990

Fundamentals of Learning Theory

Daniel N. Osherson; Michael Stob; Scott Weinstein


Archive | 1990

Central Theorems on Identification

Daniel N. Osherson; Michael Stob; Scott Weinstein


Archive | 1990

A mechanical method of successful scientific inquiry**Research support was provided by the Office of Naval Research under contract No. N00014–87-K-0401 to Osherson and Weinstein, by a Siemens Corporation grant to Osherson, and by NSF grant DMS-88–00030 to Stob. Correspondence to D. Osherson, E10–044, M.I.T., Cambridge, MA 02139;

Daniel N. Osherson; Michael Stob; Scott Weinstein

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Scott Weinstein

University of Pennsylvania

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