[PDF] Hierarchical Behavior Planning In Distributed Decision Making Systems eBook

Author : Lu Xu
Publisher :
Page : 117 pages
File Size : 34,63 MB
Release : 2006
Category : Control theory
ISBN :

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Abstract: Distributed decision making has become the predominate methodology of handling autonomous systems for our researchers. Behavior planning involves deciding at a certain time what each distributed decision making system should do and where it should go for the benefit of a certain objective. It deals with task coordination and resource allocation. In this dissertation, we focus on mathematically modelling and analysis the behavior planning in distributed decision making systems. We construct an distributed dynamic resource environment where each resource bears its individual properties. In the planning problem, there are two types of distributed decision making systems, Centers and Agents, which have different sensing, communication, and consuming capabilities. To make plans for these systems so that the total resource consumption is maximized, first we propose Instruction Planner, which applies the Lagrangian Relaxation method to relax the capacity constraints and decompose the planning problem. Meanwhile, we develop the "earliest expiration date" scheduling algorithm to make the results feasible so that no capacity constraints are violated in all the plans. Next in order to tack the coupling issue between scheduling and resource allocation more efficiently, we present Incentive Planner. In Incentive Planner, we functionally distribute the planning problem into three levels. In each level, we define its independent function and objective. Then Anticipation Theorem and Incentive Theorem are introduced and proved so that the decisions made in each level based on its local objective forms a Nash solution of the overall objective. In order to extend the successful application of the anticipation and incentives proposed in Incentive Planner, we then introduce these interrelation functions in the reference input distribution problem, which establishes an example for their future research in the hierarchical problems.

Author : Christoph Schneeweiss
Publisher : Springer Science & Business Media
Page : 345 pages
File Size : 17,81 MB
Release : 2013-04-17
Category : Business & Economics
ISBN : 3662038307

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Distributed decision making is described in this book from a hierarchical perspective. A unified approach allows to treat such seemingly diverse fields as multi-level decision making, hierarchical production planning, principal agent theory, hierarchical negotiations, and dynamic games within the framework of a general pair of functional equations. In doing so, the book covers the range from a multi-level one-person decision problem to a multi-person antagonistic planning and leadership situation. These general ideas are illustrated with numerous examples and real-life planning situations. In addition, the treatise provides a theoretical foundation for important problem areas in business administration such as hierarchical production planning, the problems of design and implementation, modern concepts in managerial accounting, and supply chain management.

Author : Christoph Schneeweiss
Publisher : Springer Science & Business Media
Page : 533 pages
File Size : 17,90 MB
Release : 2012-11-07
Category : Business & Economics
ISBN : 3540247246

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Distributed decision making (DDM) has become of increasing importance in quantitative decision analysis. In applications like supply chain management, service operations, or managerial accounting, DDM has led to a paradigm shift. The book provides a unified approach to such seemingly diverse fields as multi-level stochastic programming, hierarchical production planning, principal agent theory, negotiations or contract theory. Different settings like multi-level one-person decision problems, multi-person antagonistic planning, and leadership situations are covered. Numerous examples and real-life planning cases illustrate the concepts. The new edition has been considerably expanded by additional chapters on supply chain management, service operations and multi-agent systems.

Author : National Research Council
Publisher : National Academies Press
Page : 74 pages
File Size : 32,52 MB
Release : 1990-02-01
Category : Business & Economics
ISBN : 0309041996

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Decision making in today's organizations is often distributed widely and usually supported by such technologies as satellite communications, electronic messaging, teleconferencing, and shared data bases. Distributed Decision Making outlines the process and problems involved in dispersed decision making, draws on current academic and case history information, and highlights the need for better theories, improved research methods and more interdisciplinary studies on the individual and organizational issues associated with distributed decision making. An appendix provides additional background reading on this socially and economically important problem area.

Author : Panel on Modeling Human Behavior and Command Decision Making: Representations for Military Simulations
Publisher : National Academies Press
Page : 433 pages
File Size : 43,5 MB
Release : 1998-08-14
Category : Business & Economics
ISBN : 0309523893

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Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior.

Author : Mora, Manuel
Publisher : IGI Global
Page : 435 pages
File Size : 43,21 MB
Release : 2002-07-01
Category : Computers
ISBN : 1591400805

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Annotation The book presents state-of-the-art knowledge about decision-making support systems (DMSS). Its main goals are to provide a compendium of quality chapters on decision-making support systems that help diffuse scarce knowledge about effective methods and strategies for successfully designing, developing, implementing, and evaluating decision-making support systems, and to create an awareness among readers about the relevance of decision-making support systems in the current complex and dynamic management environment.

Author : Guangquan Zhang
Publisher : Springer
Page : 385 pages
File Size : 19,96 MB
Release : 2015-02-07
Category : Technology & Engineering
ISBN : 3662460599

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This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice. This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters. Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master’s level in information systems, business administration, or the application of computer science.