Full Read and Download Reference eBook
Planning And Decision Making In Dynamic Domains Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Planning And Decision Making In Dynamic Domains book. This book definitely worth reading, it is an incredibly well-written.
Author : Sharon Wood
Publisher : Prentice Hall
Page : 272 pages
File Size : 22,46 MB
Release : 1993
Category : Computers
ISBN :
Author : Rick Evertsz
Publisher : Springer
Page : 104 pages
File Size : 50,99 MB
Release : 2019-03-23
Category : Computers
ISBN : 3319951955
This book presents TDF (Tactics Development Framework), a practical methodology for eliciting and engineering models of expert decision-making in dynamic domains. The authors apply the BDI (Beliefs, Desires, Intentions) paradigm to the elicitation and modelling of dynamic decision making expertise, including team behaviour, and map it to a diagrammatic representation that is intuitive to domain experts. The book will be of value to researchers and practitioners engaged in dynamic decision making.
Author : Rick Evertsz
Publisher :
Page : 104 pages
File Size : 34,49 MB
Release : 2019
Category : Decision making
ISBN : 9783319951966
This book presents TDF (Tactics Development Framework), a practical methodology for eliciting and engineering models of expert decision-making in dynamic domains. The authors apply the BDI (Beliefs, Desires, Intentions) paradigm to the elicitation and modelling of dynamic decision making expertise, including team behaviour, and map it to a diagrammatic representation that is intuitive to domain experts. The book will be of value to researchers and practitioners engaged in dynamic decision making.
Author : Lakhmi C Jain
Publisher : Springer Science & Business Media
Page : 325 pages
File Size : 44,56 MB
Release : 2009-01-17
Category : Mathematics
ISBN : 3540880488
Knowledge processing and decision making in agent-based systems constitute the key components of intelligent machines. The contributions included in the book are: Innovations in Knowledge Processing and Decision Making in Agent-Based Systems Towards Real-World HTN Planning Agents Mobile Agent-Based System for Distributed Software Maintenance Software Agents in New Generation Networks: Towards the Automation of Telecom Processes Multi-agent Systems and Paraconsistent Knowledge An Agent-based Negotiation Platform for Collaborative Decision-Making in Construction Supply Chain An Event-Driven Algorithm for Agents at the Web A Generic Mobile Agent Framework Toward Ambient Intelligence Developing Actionable Trading Strategies Agent Uncertainty Model and Quantum Mechanics Representation Agent Transportation Layer Adaptation System Software Agents to Enable Service Composition through Negotiation Advanced Technology Towards Developing Decentralized Autonomous Flexible Manufacturing Systems
Author : Gerardus Blokdyk
Publisher : 5starcooks
Page : 308 pages
File Size : 40,18 MB
Release : 2020-02-16
Category :
ISBN : 9781867329060
Did your employees make progress today? How do you cross-sell and up-sell your Dynamic decision making success? Consider your own Dynamic decision making project, what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far? How are policy decisions made and where? What is your decision requirements diagram? This astounding Dynamic Decision Making self-assessment will make you the assured Dynamic Decision Making domain standout by revealing just what you need to know to be fluent and ready for any Dynamic Decision Making challenge. How do I reduce the effort in the Dynamic Decision Making work to be done to get problems solved? How can I ensure that plans of action include every Dynamic Decision Making task and that every Dynamic Decision Making outcome is in place? How will I save time investigating strategic and tactical options and ensuring Dynamic Decision Making costs are low? How can I deliver tailored Dynamic Decision Making advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Dynamic Decision Making essentials are covered, from every angle: the Dynamic Decision Making self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Dynamic Decision Making outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Dynamic Decision Making practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Dynamic Decision Making are maximized with professional results. Your purchase includes access details to the Dynamic Decision Making self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Dynamic Decision Making Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : Chee Peng Lim
Publisher : Springer Science & Business Media
Page : 539 pages
File Size : 44,77 MB
Release : 2010-09-07
Category : Technology & Engineering
ISBN : 3642136397
Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.
Author : Marcelo Kallmann
Publisher : Springer Nature
Page : 181 pages
File Size : 14,88 MB
Release : 2022-05-31
Category : Mathematics
ISBN : 3031025881
Path planning and navigation are indispensable components for controlling autonomous agents in interactive virtual worlds. Given the growing demands on the size and complexity of modern virtual worlds, a number of new techniques have been developed for achieving intelligent navigation for the next generation of interactive multi-agent simulations. This book reviews the evolution of several related techniques, starting from classical planning and computational geometry techniques and then gradually moving toward more advanced topics with focus on recent developments from the work of the authors. The covered topics range from discrete search and geometric representations to planning under different types of constraints and harnessing the power of graphics hardware in order to address Euclidean shortest paths and discrete search for multiple agents under limited time budgets. The use of planning algorithms beyond path planning is also discussed in the areas of crowd animation and whole-body motion planning for virtual characters.
Author : Stephan Meisel
Publisher : Springer Science & Business Media
Page : 192 pages
File Size : 28,83 MB
Release : 2011-06-23
Category : Business & Economics
ISBN : 146140505X
The availability of today’s online information systems rapidly increases the relevance of dynamic decision making within a large number of operational contexts. Whenever a sequence of interdependent decisions occurs, making a single decision raises the need for anticipation of its future impact on the entire decision process. Anticipatory support is needed for a broad variety of dynamic and stochastic decision problems from different operational contexts such as finance, energy management, manufacturing and transportation. Example problems include asset allocation, feed-in of electricity produced by wind power as well as scheduling and routing. All these problems entail a sequence of decisions contributing to an overall goal and taking place in the course of a certain period of time. Each of the decisions is derived by solution of an optimization problem. As a consequence a stochastic and dynamic decision problem resolves into a series of optimization problems to be formulated and solved by anticipation of the remaining decision process. However, actually solving a dynamic decision problem by means of approximate dynamic programming still is a major scientific challenge. Most of the work done so far is devoted to problems allowing for formulation of the underlying optimization problems as linear programs. Problem domains like scheduling and routing, where linear programming typically does not produce a significant benefit for problem solving, have not been considered so far. Therefore, the industry demand for dynamic scheduling and routing is still predominantly satisfied by purely heuristic approaches to anticipatory decision making. Although this may work well for certain dynamic decision problems, these approaches lack transferability of findings to other, related problems. This book has serves two major purposes: ‐ It provides a comprehensive and unique view of anticipatory optimization for dynamic decision making. It fully integrates Markov decision processes, dynamic programming, data mining and optimization and introduces a new perspective on approximate dynamic programming. Moreover, the book identifies different degrees of anticipation, enabling an assessment of specific approaches to dynamic decision making. ‐ It shows for the first time how to successfully solve a dynamic vehicle routing problem by approximate dynamic programming. It elaborates on every building block required for this kind of approach to dynamic vehicle routing. Thereby the book has a pioneering character and is intended to provide a footing for the dynamic vehicle routing community.
Author : Katia P. Sycara
Publisher : Morgan Kaufmann
Page : 532 pages
File Size : 50,18 MB
Release : 1990
Category : Computers
ISBN : 9781558601642
Author : Laura Militello
Publisher : CRC Press
Page : 770 pages
File Size : 15,26 MB
Release : 2017-09-18
Category : Technology & Engineering
ISBN : 1317089588
This book presents the latest work in the area of naturalistic decision making (NDM) and its extension into the area of macrocognition. It contains 18 chapters relating research centered on the study of expertise in naturalistic settings, written by international experts in NDM and cognitive systems engineering. The objective of the book is to present the reader with exciting new developments in this field of research, which is characterized by its application-oriented focus. The work addresses only real-world problems and issues. For instance, how do multi-national teams collaborate effectively? How can surgeons best be supported by technology? How do detectives make sense of complex criminal cases? In all instances the studies have been carried out on experts within their respective domains. The traditional field of NDM is extended in this work by focusing on macrocognitive functions other than decision making, namely sense-making, coordination and planning. This has broadened the scope of the field. The book also contains a theoretical discussion of the macro-micro distinction. Naturalistic Decision Making and Macrocognition will be relevant to graduate students, researchers and professionals (including professionals and researchers in business, industry and government) who are interested in decision making, expertise, training methods and system design. The material may be used in two ways: theoretically, to advance understanding of the field of naturalistic decision making; and practically, to gain insight into how experts in various domains solve particular problems, understand and deal with issues and collaborate with others.