CONTEXT HYPOTHESIZATION USING PROBABILISTIC KNOWLEDGE

Article type: Research Article

Authors: Bhatnagar, Raj

Affiliations: Computer Science Department, University of Cincinnati, Cincinnati OH 45221, USA. bhatnagr@ucunix.san.uc.edu

Abstract: In this paper we present a formal view of an ‘imagination’ type of hypothesis generation process performed with the probabilistic knowledge of a domain. We outline a formalism for focused construction of interesting hypothetical situation-descriptions. Our formalism for the ‘imagining agent’ seeks to construct consistent, minimal, and desirable situation-descriptions by selecting suitable domain attributes and probabilistic dependency relationships from the available domain knowledge. An interestingness criterion made available to the imagining agent helps it in focusing its efforts towards ‘imagining’ only the interesting situation-descriptions.

DOI: 10.3233/FI-1995-232343

Journal: Fundamenta Informaticae, vol. 23, no. 2-4, pp. 225-246, 1995