Planning based on decision theory

Giagomo Della Riccia, Didier Dubois, Rudolf Kruse, Hanz-Joachim Lenz - Collection CISM

166 pages, parution le 26/03/2004

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Résumé

Planning of actions based on decision theory is a hot topic for many disciplines. Seemingly unlimited computing power, networking, integration and collaboration have meanwhile attracted the attention of fields like Machine Learning, Operations Research, Management Science and Computer Science. Software agents of e-commerce, mediators of Information Retrieval Systems and Database based Information Systems are typical new application areas. Until now, planning methods were successfully applied in production, logistics, marketing, finance, management, and used in robots, software agents etc. It is the special feature of the book that planning is embedded into decision theory, and this will give the interested reader new perspectives to follow-up.

L'auteur - Didier Dubois

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Sommaire

Decision Theory: Qualitative Decision Rules Under Uncertainty (D. Dubois, H. Fargier)
Sequential Decision-Making in Heuristic Search (E. Hüllermeier)
Identification of non-additive measures from sample data (P. Miranda, M. Grabisch, P. Gil)
Notification Planning with Developing Information States (M. Schaal, H.-J. Lenz)
Planning, Control and Learning: The Problem of Planning with Three Sources of Uncertainty (P. Traverso)
Understanding Control Strategies (I. Bratko)
Local Structure Learning in Graphical Models (C. Borgelt, R. Kruse).
Application of Planning and Decision Making Theory
Coordination of the Supply Chain as a Distributed Decision Making Problem (C. Schneeweiss)
Fuzzy Decision Theory
Intelligent ways for solving real-world decision problems and for saving information costs (H. Rommelfanger)
Capital Allocation Under Regret and Kataoka Criteria (G. Bamberg, G. Dorfleitner).

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Giagomo Della Riccia, Didier Dubois, Rudolf Kruse, Hanz-Joachim Lenz
Collection	CISM
Parution	26/03/2004
Nb. de pages	166
Format	17 x 24
Couverture	Broché
Poids	311g
Intérieur	Noir et Blanc
EAN13	9783211407561