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Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/326

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Title: Dynamic Flexible Constraint Satisfaction and it's Application to AI Planning
Authors: Miguel, Ian
Supervisor(s): Shen, Qiang
Issue Date: Jul-2001
Publisher: University of Edinburgh. College of Science and Engineering. School of Informatics.
Abstract: Constraints are a natural means of knowledage representation in many disparate fields. A constraint often takes the form of an equation or inequality, but in the most abstract senseis simply a logical relation among several variables expressing a set of admissable value combinations. The following are simple examples: the sum of two variables must equal 30; no two adjacent countries on the map may be coloured the same. It is this generality and simplicity of structure which underly the ubiquity of the constraint-based representation in Atificial Intelligence.
Description: Centre for Intelligent Systems and their Applications
studentship 97305803
Sponsor(s): Engineering and Physical Sciences Research Council (EPSRC)
URI: http://hdl.handle.net/1842/326
Appears in Collections:Informatics thesis and dissertation collection

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