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Book Planning Under Uncertainty

Download or read book Planning Under Uncertainty written by Gerd Infanger and published by Boyd & Fraser Publishing Company. This book was released on 1994 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Decision Making Under Uncertainty

Download or read book Decision Making Under Uncertainty written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2015-07-24 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.

Book Defense Resource Planning Under Uncertainty

Download or read book Defense Resource Planning Under Uncertainty written by Robert J. Lempert and published by Rand Corporation. This book was released on 2016-01-29 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Representing Plans Under Uncertainty

Download or read book Representing Plans Under Uncertainty written by Peter Haddawy and published by Springer. This book was released on 1994 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Book Artificial Intelligence Today

Download or read book Artificial Intelligence Today written by Michael J. Wooldridge and published by Springer Science & Business Media. This book was released on 1999-08-18 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is one of the most fascinating and unusual areas of academic study to have emerged this century. For some, AI is a true scientific discipline, that has made important and fundamental contributions to the use of computation for our understanding of nature and phenomena of the human mind; for others, AI is the black art of computer science. Artificial Intelligence Today provides a showcase for the field of AI as it stands today. The editors invited contributions both from traditional subfields of AI, such as theorem proving, as well as from subfields that have emerged more recently, such as agents, AI and the Internet, or synthetic actors. The papers themselves are a mixture of more specialized research papers and authorative survey papers. The secondary purpose of this book is to celebrate Springer-Verlag's Lecture Notes in Artificial Intelligence series.

Book Planning Algorithms

Download or read book Planning Algorithms written by Steven Michael LaValle and published by . This book was released on 2006 with total page 826 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that integrates literature from several fields into a coherent source for teaching and reference in applications including robotics, computational biology, computer graphics, manufacturing, aerospace applications, and medicine.

Book Biomass to Biofuel Supply Chain Design and Planning under Uncertainty

Download or read book Biomass to Biofuel Supply Chain Design and Planning under Uncertainty written by Mir Saman Pishvaee and published by Academic Press. This book was released on 2020-11-25 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative Methods explores the design and optimization of biomass-to-biofuel supply chains for commercial-scale implementation of biofuel projects by considering the problems and challenges encountered in real supply chains. By offering a fresh approach and discussing a wide range of quantitative methods, the book enables researchers and practitioners to develop hybrid methods that integrate the advantages and features of two or more methods in one decision-making framework for the efficient optimization of biofuel supply chains, especially for complex supply chain models. Combining supply chain management and modeling techniques in a single volume, the book is beneficial for graduate students who no longer need to consult subject-specific books alongside mathematical modeling textbooks. The book consists of two main parts. The first part describes the key components of biofuel supply chains, including biomass production, harvesting, collection, storage, preprocessing, conversion, transportation, and distribution. It also provides a comprehensive review of the concepts, problems, and opportunities associated with biofuel supply chains, such as types and properties of the feedstocks and fuel products, decision-making levels, sustainability concepts, uncertainty analysis and risk management, as well as integration of biomass supply chain with other supply chains. The second part focuses on modeling and optimization of biomass-to-biofuel supply chains under uncertainty, using different quantitative methods to determine optimal design. Proposes a general multi-level framework for the optimal design and operation of biomass-to-biofuel supply chains through quantitative analysis and modeling, including different biomass and waste biomass feedstock, production pathways, technology options, transportation modes, and final products Explores how modeling and optimization tools can be utilized to address sustainability issues in biofuel supply chains by simultaneously assessing and identifying sustainable solutions Presents several case studies with different regional constraints to evaluate the practical applicability of different optimization methods and compares their performance in real-world situations Includes General Algebraic Modeling System (GAMS) codes for solving biomass supply chain optimization problems discussed in different chapters

Book Defense Resource Planning Under Uncertainty

Download or read book Defense Resource Planning Under Uncertainty written by Robert J. Lempert and published by Rand Corporation. This book was released on 2016-01-29 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: Defense planning faces significant uncertainties. This report applies robust decision making (RDM) to the munitions mix challenge, to demonstrate how RDM could help defense planners make plans more robust to a wide range of hard-to-predict futures.

Book Planning Under Pressure

Download or read book Planning Under Pressure written by John Friend and published by Routledge. This book was released on 2012-05-23 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planning under Pressure offers managers, planners, consultants and students a comprehensive and authoritative guide to the Strategic Choice Approach, which has gradually been attracting worldwide recognition as a fresh, versatile and practical approach to collaborative decision-making under uncertainty. Starting from basic principles, the book uses helpful diagrams and clear explanations to demonstrate practical ways of approaching daunting decision problems; of devising possible ways forward; and of working effectively towards agreed courses of action. Along he way, decision makers are helped to cope with diverse sources of uncertainty – technical, political, managerial – in a strategic manner. In this extended third edition, the authors have added short contributions from 21 users from seven countries. These new contributors present lessons from their varied experiences in adapting the Strategic Choice Approach to guide decision-making and learning in settings ranging from the re-routing of a controversial city carnival procession to national policy for the management of nuclear waste.

Book The Fog of Peace and War Planning

Download or read book The Fog of Peace and War Planning written by Talbot C. Imlay and published by Psychology Press. This book was released on 2006 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do we plan under conditions of uncertainty? The perspective of military planners is a key organizing framework: do they see themselves as preparing to administer a peace, or preparing to fight a future war? Most interwar volumes examine only the 1920s and the 1930s. This new volume goes back, and forward in time, to draw on a greater expanse of history in order to tease out lessons for contemporary planners. These chapters are grouped into four periods: 1815-1856, 1871-1914, 1918-1938, and post-Second World War. They progress from low-tech to high-tech concerns, for example, the first period examines armies, while the second period examines navies, the third asseses navies combined with air forces, and finally for the Kaiser chapter explores nuclear issues and decision-making.

Book Agents and Artificial Intelligence

Download or read book Agents and Artificial Intelligence written by Jaap van den Herik and published by Springer. This book was released on 2018-12-30 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the revised and extended versions of selected papers from the 10th International Conference, ICAART 2018, held in Funchal, Madeira, Portugal, in January 2018. The 45 full papers together with 42 short papers and 26 Posters were carefully reviewed and selected from 161 initial submissions. The papers are organized in topics such as Agents, Artificial Intelligence, Semantic Web, Multi-Agent Systems, Distributed Problem Solving, Agent Communication and much more.

Book Principles of Risk Analysis

Download or read book Principles of Risk Analysis written by Charles Yoe and published by CRC Press. This book was released on 2016-04-19 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we know-and it is intentional in the way it addresses the importance of the things we don't know. Principles of Risk Analysis: Decision Making Under Uncertainty lays out the tasks of risk analysis i

Book Automated Planning

Download or read book Automated Planning written by Malik Ghallab and published by Elsevier. This book was released on 2004-05-03 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description

Book Decision Making Under Uncertainty in Electricity Markets

Download or read book Decision Making Under Uncertainty in Electricity Markets written by Antonio J. Conejo and published by Springer Science & Business Media. This book was released on 2010-09-08 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision Making Under Uncertainty in Electricity Markets provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research.

Book Proactive reactive  robust scheduling and capacity planning of deconstruction projects under uncertainty

Download or read book Proactive reactive robust scheduling and capacity planning of deconstruction projects under uncertainty written by Volk, Rebekka and published by KIT Scientific Publishing. This book was released on 2017-02-08 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: A project planning and decision support model is developed and applied to identify and reduce risk and uncertainty in deconstruction project planning. It allows calculating building inventories based on sensor information and construction standards and it computes robust project plans for different scenarios with multiple modes, constrained renewable resources and locations. A reactive and flexible planning element is proposed in the case of schedule infeasibility during project execution.

Book Optimization of Integrated Supply Chain Planning under Multiple Uncertainty

Download or read book Optimization of Integrated Supply Chain Planning under Multiple Uncertainty written by Juping Shao and published by Springer. This book was released on 2015-05-27 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​The subject of this book is supply chain logistics planning optimization under multiple uncertainties, the key issue in supply chain management. Focusing on the strategic-alliance three-level supply chain, the model of supply chain logistics planning was established in terms of the market prices and the market requirements as random variables of manufactured goods with random expected value programming theory, and the hybrid intelligence algorithm solution model was designed. Aiming at the decentralized control supply chain, in which the nodes were unlimited expansion, the chance-constrained stochastic programming model was created in order to obtain optimal decision-making at a certain confidence level. In addition, the hybrid intelligence algorithm model was designed to solve the problem of supply chain logistics planning with the prices of the raw-materials supply market of the upstream enterprises and the prices of market demand for products of the downstream enterprises as random variables in the supply chain unit. Aimed at the three-stage mixed control supply chain, a logistics planning model was designed using fuzzy random programming theory with customer demand as fuzzy random variables and a hybrid intelligence algorithm solution was created. The research has significance both in theory and practice. Its theoretical significance is that the research can complement and perfect existing supply chain planning in terms of quantification. Its practical significance is that the results will guide companies in supply chain logistics planning in the uncertain environment.

Book Planning on Uncertainty

Download or read book Planning on Uncertainty written by Ruth Prince Mack and published by John Wiley & Sons. This book was released on 1971 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: