Dynamic Flexible Constraint Satisfaction and its Application to AI Planning
Buch in deiner Nähe kaufen
Beschreibung
A detailed systematic review of the constraint satisfaction literature.
Methods are developed which, for the first time, are able to solve problems which both contain a dynamic component and are open to compromise if a ‘perfect’ solution does not exist Classical artificial intelligence planning is extended to incorporate preferences so that it too can support compromise A trade-off between the length of a plan versus the number and severity of the compromises it contains is now possible An extensive empirical analysis of the new dynamic-flexible problem solving methods and the development of a new flexible planning Includes supplementary material: sn.pub/extras
Autor*in
Ian Miguel
Themen in »Dynamic Flexible Constraint Satisfaction and its Application to AI Planning«
Constraint Satisfaction Extension algorithms artificial intelligence complexity constraint satisfaction problem fuzzy heuristics intelligence knowledge knowledge representation logistics