Uncertain linear constraints
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Linear constraints occur naturally in many reasoning problems and the information that they represent is often uncertain. There is a difficulty in applying many AI uncertainty formalisms to this situation, as their representation of the underlying logic, either as a mutually exclusive and exhaustive set of possibilities, or with a propositional or a predicate logic, is inappropriate (or at least unhelpful). To overcome this, we express reasoning with linear constraints as a logic, and develop the formalisms based on this different underlying logic. We focus in particular on a possibilistic logic representation of uncertain linear constraints, a lattice-valued possibilistic logic, and a Dempster-Shafer representation.
Constraints , Logic , Linear constraints , AI uncertainty formalisms
Wilson, Nic; (2004) 'Uncertain Linear Constraints ', ECAI' 04: Proceedings of the 16th European Conference on Artificial Intelligence, 22- 27 August, Valencia, Spain: IOS Press, pp. 231-235.
© 2004 IOS Press