A Paper Abstract by Benjamin Grosof

Declarative Bias: An Overview (1990)

by Stuart J. Russell and Benjamin N. Grosof

Abstract: This paper describes and places in context a continuing research program aimed at constructing effective, autonomous learning systems. We emphasize the role of knowledge that the system itself possesses in generating and selecting among inductive hypotheses. Inductive learning has often been characterized as a search in a hypothesis space for hypotheses consistent with observations. It is shown that committing to a given hypothesis space is equivalent to believing a certain logical sentence --- the declarative bias. We show how many kinds of declarative bias can be relatively efficiently represented and derived from background knowledge, and discuss possibilities and problems for building complete learning systems.
Last update: 1-8-98
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