Planning Based on Decision Theory

Planning Based on Decision Theory edited by Giacomo Della Riccia, Rudolf Kruse, Didier Dubois, Hans-J. Lenz.

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. Softw...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Della Riccia, Giacomo (Editor), Kruse, Rudolf (Editor), Dubois, Didier (Editor), Lenz, Hans-J (Editor)
Format: eBook
Language:English
Published: Vienna : Springer Vienna : Imprint: Springer, 2003.
Edition:1st ed. 2003.
Series:CISM International Centre for Mechanical Sciences, Courses and Lectures, 472
Springer eBook Collection.
Subjects:
Artificial intelligence.
Computer science—Mathematics.
Game theory.
Operations research.
Management science.
Statistics .
Control engineering.
Robotics.
Mechatronics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Preface
  • Session I – 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)
  • Session II – Planning, Control and Learning: The Problem of Planning with Three Sources of Uncertainty (P. Traverso); Understanding Control Strategies (I. Bratko, D. Šuc); Local Structure Learning in Graphical Models (C. Borgelt, R. Kruse)
  • Session III – 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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