Automatically assigned DDC number: 005115

Manually assigned DDC number: 005115

Number of references: 16

Title: Reasoning with Probabilities, Time And Space

Author:

Subject: Alexander Dekhtyar Reasoning with Probabilities, Time And Space

Description: Over the years probability theory has emerged as the leading way of dealing with uncertainty in AI and Databases. However, application of probabilistic methods to different frameworks has always been a problem as the two main goals of such an application --- efficiency and correctness --- are often at odds with each other. This is so because different dependencies between the events considered cause different formulae to be used in computing the probabilities of complex events. In this work we consider how probabilistic approaches to dealing with uncertainty can be applied to a variety of frameworks in the Database theory and Logic Programming. Our work is based on two generic probabilistic frameworks, Probabilistic Databases, developed previously by Lakshmanan, Leone, Ross and Subrahmanian ([36]), which first introduced different ways of computing probabilities of complex events and Hybrid Probabilistic Logic Programs, developed as a part of this proposal ([9]). While these ...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1999-11-18

Pubyear: 1999

Format: ps

Identifier: http://citeseer.ist.psu.edu/394632.html

Source: http://www.cs.umd.edu/~dekhtyar/academ/proposal.ps

Language: en

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