Representing Plans Under Uncertainty
DOWNLOAD
Download Representing Plans Under Uncertainty PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Representing Plans Under Uncertainty book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Representing Plans Under Uncertainty
DOWNLOAD
Author : Peter Haddawy
language : en
Publisher: Springer
Release Date : 1994
Representing Plans Under Uncertainty written by Peter Haddawy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Business & Economics categories.
"This monograph integrates AI and decision-theoretic approaches to the representation of planning problems by developing a first-order logic of time, chance, and action for representing and reasoning about plans. The semantics of the logic incorporates intuitive properties of time, chance, and action central to the planning problem. The logical language integrates both modal and probabilistic constructs and allows quantification over time points, probability values, and domain individuals. The language can represent the chance that facts hold and events occur at various times and that actions and other events affect the future. An algorithm for the problem of building construction planning is developed and the logic is used to prove the algorithm correct."--PUBLISHER'S WEBSITE.
Representing Plans Under Uncertainty
DOWNLOAD
Author : Peter Haddawy
language : en
Publisher:
Release Date : 2014-09-01
Representing Plans Under Uncertainty written by Peter Haddawy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-01 with categories.
Representing Plans Under Uncertainty
DOWNLOAD
Author : Peter F. Haddawy
language : en
Publisher:
Release Date : 1991
Representing Plans Under Uncertainty written by Peter F. Haddawy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Knowledge representation (Information theory) categories.
The language can represent the chance that facts hold and events occur at various times. It can represent the chance that actions and other events affect the future. The model of action distinguishes between action feasibility, executability, and effects. Using this distinction, a notion of expected utility for acts that may not be feasible is defined. This notion is used to reason about the chance that trying a plan will achieve a given goal. An algorithm for the problem of building construction planning is developed and the logic is used to prove the algorithm correct."
Defense Resource Planning Under Uncertainty
DOWNLOAD
Author : Robert J. Lempert
language : en
Publisher: Rand Corporation
Release Date : 2016-01-29
Defense Resource Planning Under Uncertainty written by Robert J. Lempert and has been published by Rand Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-29 with History categories.
Defense planning faces significant uncertainties. This report applies robust decision making (RDM) to the air-delivered munitions mix challenge. RDM is quantitative, decision support methodology designed to inform decisions under conditions of deep uncertainty and complexity. This proof-of-concept demonstration suggests that RDM could help defense planners make plans more robust to a wide range of hard-to-predict futures.
Uncertainty In Artificial Intelligence
DOWNLOAD
Author : MKP
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Uncertainty In Artificial Intelligence written by MKP and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
Uncertainty Proceedings 1994
Uncertainty In Artificial Intelligence
DOWNLOAD
Author : David Heckerman
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-05-12
Uncertainty In Artificial Intelligence written by David Heckerman and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Computers categories.
Uncertainty in Artificial Intelligence contains the proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence held at the Catholic University of America in Washington, DC, on July 9-11, 1993. The papers focus on methods of reasoning and decision making under uncertainty as applied to problems in artificial intelligence (AI) and cover topics ranging from knowledge acquisition and automated model construction to learning, planning, temporal reasoning, and machine vision. Comprised of 66 chapters, this book begins with a discussion on causality in Bayesian belief networks before turning to a decision theoretic account of conditional ought statements that rectifies glaring deficiencies in classical deontic logic and forms a sound basis for qualitative decision theory. Subsequent chapters explore trade-offs in constructing and evaluating temporal influence diagrams; normative engineering risk management systems; additive belief-network models; and sensitivity analysis for probability assessments in Bayesian networks. Automated model construction and learning as well as algorithms for inference and decision making are also considered. This monograph will be of interest to both students and practitioners in the fields of AI and computer science.
Handbook On Cities And Complexity
DOWNLOAD
Author : Portugali, Juval
language : en
Publisher: Edward Elgar Publishing
Release Date : 2021-09-16
Handbook On Cities And Complexity written by Portugali, Juval and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-16 with Social Science categories.
Written by some of the founders of complexity theory and complexity theories of cities (CTC), this Handbook expertly guides the reader through over forty years of intertwined developments: the emergence of general theories of complex self-organized systems and the consequent emergence of CTC.
Flexibility And Real Estate Valuation Under Uncertainty
DOWNLOAD
Author : David Geltner
language : en
Publisher: John Wiley & Sons
Release Date : 2018-02-19
Flexibility And Real Estate Valuation Under Uncertainty written by David Geltner and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-19 with Business & Economics categories.
Provides a revolutionary conceptual framework and practical tools to quantify uncertainty and recognize the value of flexibility in real estate development This book takes a practical "engineering" approach to the valuation of options and flexibility in real estate. It presents simple simulation models built in universal spreadsheet software such as Microsoft Excel®. These realistically reflect the varying and erratic sources of uncertainty and price dynamics that uniquely characterize real estate. The text covers new analytic procedures that are valuable for existing properties and enable a new, more profitable perspective on the planning, design, operation, and evaluation of large-scale, multi-phase development projects. The book thereby aims to significantly improve valuation and investment decision making. Flexibility and Real Estate Valuation under Uncertainty: A Practical Guide for Developers is presented at 3 levels. First, it introduces and explains the concepts underlying the approach at a basic level accessible to non-technical and non-specialized readers. Its introductory and concluding chapters present the important “big picture” implications of the analysis for economics and valuation and for project design and investment decision making. At a second level, the book presents a framework, a roadmap for the prospective analyst. It describes the practical tools in detail, taking care to go through the elements of the approach step-by-step for clarity and easy reference. The third level includes more technical details and specific models. An Appendix discusses the technical details of real estate price dynamics. Associated web pages provide electronic spreadsheet templates for the models used as examples in the book. Some features of the book include: • Concepts and tools that are simple and accessible to a broad audience of practitioners; • An approach relevant for all development projects; • Complementarity with the author's Commercial Real Estate Analysis & Investments—the most-cited real estate investments textbook on the market. Flexibility and Real Estate Valuation under Uncertainty: A Practical Guide for Developers is for everyone studying or concerned with the implementation of large-scale or multi-phase real estate development projects, as well as property investment and valuation more generally.
Inductive Logic Programming
DOWNLOAD
Author : Stephen Muggleton
language : en
Publisher: Springer
Release Date : 2007-09-20
Inductive Logic Programming written by Stephen Muggleton and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-20 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the 16th International Conference on Inductive Logic Programming, ILP 2006, held in Santiago de Compostela, Spain, in August 2006. The papers address all current topics in inductive logic programming, ranging from theoretical and methodological issues to advanced applications.
A Guided Tour Of Artificial Intelligence Research
DOWNLOAD
Author : Pierre Marquis
language : en
Publisher: Springer Nature
Release Date : 2020-05-08
A Guided Tour Of Artificial Intelligence Research written by Pierre Marquis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-08 with Computers categories.
The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes: - the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI). This second volume presents the main families of algorithms developed or used in AI to learn, to infer, to decide. Generic approaches to problem solving are presented: ordered heuristic search, as well as metaheuristics are considered. Algorithms for processing logic-based representations of various types (first-order formulae, propositional formulae, logic programs, etc.) and graphical models of various types (standard constraint networks, valued ones, Bayes nets, Markov random fields, etc.) are presented. The volume also focuses on algorithms which have been developed to simulate specific ‘intelligent” processes such as planning, playing, learning, and extracting knowledge from data. Finally, an afterword draws a parallel between algorithmic problems in operation research and in AI.