Planning Based on Decision Theory
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...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Vienna
Springer Vienna
2003, 2003
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| Edition: | 1st ed. 2003 |
| Series: | CISM International Centre for Mechanical Sciences, Courses and Lectures
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
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)