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Decision Theory and Multi-Agent Planning (CISM International Centre for Mechanical Sciences)

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Published by Springer .
Written in English


  • Mechanical Engineering & Materials,
  • Mathematics,
  • Computer Science,
  • Science/Mathematics,
  • Probability & Statistics - General,
  • Logic,
  • Mathematics / Statistics,
  • artificial intelligence,
  • decision making,
  • microeconomics,
  • planning,
  • robotics,
  • software agents,
  • Information Technology

Book details:

Edition Notes

ContributionsGiacomo Della Riccia (Editor), Didier Dubois (Editor), Rudolf Kruse (Editor), Hans-Joachim Lenz (Editor)
The Physical Object
Number of Pages198
ID Numbers
Open LibraryOL9020375M
ISBN 103211317872
ISBN 109783211317877

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Decision Theory and Multi-Agent Planning Leila Amgoud, Henri Prade (auth.), Giacomo Della Riccia, Didier Dubois, Rudolf Kruse, Hanz-Joachim Lenz (eds.) The work presents a modern, unified view on decision support and planning by considering its basics like preferences, belief, possibility and probability as well as utilities. Decision theory and multi-agent planning. Wien ; New York: Springer, (OCoLC) Material Type: Conference publication, Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: G Della Riccia. Classical decision theory makes the start. Then, we introduce multi-agent decision making, focussing on game theory, complex decision making, and on intelligent agents. tial planning in multi Author: Nils Bulling. 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.

Discover the best Decision-Making & Problem Solving in Best Sellers. Find the top most popular items in Amazon Books Best Sellers. Steps in Decision Theory 1. List the possible alternatives (actions/decisions) 2. Identify the possible outcomes 3. List the payoff or profit or reward 4. Select one of the decision theory models 5. Apply the model and make your decision. Rational Communication in Multi-Agent Environments, Piotr J. Gmytrasiewicz and Edmund H. Durfee, Autonomous Agents and Multi-Agent Systems Journal, A presentation on frequentist decision theory. Excerpts can be taken from Christian Robert, The Bayesian Choice, Springer interest in the book and to update the PDF to keep it consistent with reprintings of the book. i. Distributed dynamic programming for path planning 19 3 Introduction to Noncooperative Game Theory: Games in Normal Form 47 Self-interested agents 47 .

The decision theory is composed of several rational concepts related to decision making in adherence to review, design, choice, and intelligence [30]. Stemming from time constriction and stressful. Decision theory is a set of concepts, principles, tools and techniques that help the decision maker in dealing with complex decision problems under uncertainty. More specifically, decision theory deals with methods for determining the optimal course of action when a number of alternatives are available and their consequences cannot be. A General Approach to Decision Making Whether a scientist, an executive of a major corporation, or a small business owner, the general approach to systematically solving problems is the same. The following 7 step approach to better management decision making can be used to study nearly all problems faced by a business. Planning: Linking Goals/Knowledge to Action Planning is a process, procedure, or method for setting goals, identifying and assessing option s, and developing strategies for achieving desired options. It is a pervasive human activity imbedded in future-oriented decision making. 1. Role/Types of Theory Planning Knowledge Action Goals.