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. 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.

Springer Book Archives

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. Suc);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).