Planning Based on Decision Theory

1. Front Matter

   Pages ii-ix

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2. Decision Theory

   1. Front Matter

      Pages 1-1

      PDF

   2. Qualitative Decision Rules Under Uncertainty

      • Didier Dubois, Hélène Fargier

      Pages 3-26

   3. Sequential Decision Making in Heuristic Search

      • Eyke Hüllermeier

      Pages 27-41

   4. Identification of non-additive measures from sample data

      • Pedro Miranda, Michel Grabisch, Pedro Gil

      Pages 43-62

   5. Notification Planning with Developing Information States

      • Markus Schaal, Hans-J. Lenz

      Pages 63-70

3. Planning, Contol and Learning

   1. Front Matter

      Pages 71-71

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   2. The Problem of Planning with Three Sources of Uncertainty

      • Paolo Traverso

      Pages 73-84

   3. Understanding Control Strategies

      • Ivan Bratko, Dorian Šuc

      Pages 85-98

   4. Local Structure Learning in Graphical Models

      • Christian Borgelt, Rudolf Kruse

      Pages 99-118

4. Application of Planning and Decision Making

   1. Front Matter

      Pages 119-119

      PDF

   2. Coordination of the Supply Chain as a as a Distributed Decision Making Problem

      • Christoph Schneeweiss

      Pages 121-133

   3. Fuzzy Decision Theory Intelligent Ways for Solving Real-World Decision Problems and for Solving Information Costs

      • Heinrich J. Rommelfanger

      Pages 135-154

   4. Capital Allocation under Regret and Kataoka Criteria

      • Günter Bamberg, Gregor Dorfleitner

      Pages 155-165

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.

• Artificial Intelligence
• Automation and Robotics
• Computer Science
• Mathematical Programming
• Research
• Robotices
• Statistics
• artificial intelligence
• automation
• computer
• computer science
• decision theory
• learning
• machine learning
• operations research
• optimization
• programming
• robot
• robotics
• software agents
• statistics
• uncertainty

• University of Udine, Italy

  Giacomo Riccia

• University of Toulouse, France

  Didier Dubois

• University of Magdeburg, Germany

  Rudolf Kruse

• Free University of Berlin, Germany

  Hans-J. Lenz

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