By Giacomo Della Riccia, Rudolf Kruse, Didier Dubois, Hans-J. Lenz

Planning of activities in keeping with selection thought is a scorching subject for plenty of disciplines. probably limitless computing energy, networking, integration and collaboration have in the meantime attracted the eye of fields like desktop studying, Operations study, administration technological know-how and machine technological know-how. software program brokers of e-commerce, mediators of data Retrieval structures and Database dependent details platforms are ordinary new program parts. beforehand, making plans equipment have been effectively utilized in creation, logistics, advertising, finance, administration, and utilized in robots, software program brokers and so forth. it's the precise characteristic of the ebook that making plans is embedded into determination conception, and this can provide the reader new views to follow-up.

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**Additional resources for Planning Based on Decision Theory**

**Example text**

For a uniform possibility distribution the leximax likelihood relation coincides with the comparative probability relation that is induced by a uniform probability (the cardinality-based definition gives A >rrLex B iff IBI < IAI). This is not surprising in view of the fact that the leximax likelihood relation is really a comparative probability relation in the usual sense. Unsurprisingly, in view of the above, any 1eximax likelihood relation on a finite set can be represented by a special kind of probability measure.

3 The Problem of Change Detection The problem of change detection is understood as the detection of abrupt changes in some characteristic properties of a system. , through corresponding sensors) but can only be inferred indirectly from the measurements available. , in pattern recognition (segmentation of signals), quality control, monitoring in biomedicine, or in connection with the detection of faults in technological processes [1]. Many problems of this type can be stated as one of detecting a change in the parameters of a (static or dynamic) stochastic model.

Zimmermann. A two-phase search method for solving configuration problems. Teclmical Report tr-rsfb-98-062, Department of Mathematics and Computer Science, University ofPaderborn, October 1998. Sequential Decision-Making in Heuristic Search 11. E. Hiillermeier and C. Zimmermann. A two-phase search method for solving configuration problems. Technical Report tr-rsfb-98-062, Department of Mathematics and Computer Science, University of Paderbom, October 1998. 12. E. Korf. Depth-first iterative deepening: An optimal admissible tree search.