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Determining Type, Part, Color, and Time Relationships

By L. Schubert, M. Papalaskaris and L. Taugher

Abstract

Several kinds of inference problems arise constantly in question-answering processes, which without special handling can absorb large computational resources. One kind requires determining how two types of things are related, others require determining these or similar relationships among parts of objects, color or times. As people we are equipped with certain sensory organs, we have special ways of modelling our perception of color, categorizing and cross-correlating the entities whose localization in space and persistence in time renders them cognitively coherent and of analyzing spatial properties, such as parts structure. To match our cognitive skills AI system will need analogous special methods. The methods described in this paper are designed to supplement a deductive question-answering algorithm that is now operational. The algorithm draws on a base of logical propositions organized as semantic ne

Topics: Algorithms, Artificial Intelligence (Ai), Cognition, Color, Inference, Patterns, Perception, Semantic Networks
Year: 1983
OAI identifier: oai:cumincad.architexturez.net:13841
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