|
![]() |
|||
|
||||
OverviewPeople use the word strategy in a variety of different contexts. The term has connotations ranging from statesmanship to economic planning, and has become pervasive in the social sciences. We also talk about ""problem solving strategies"" and ""corporate strategy"" in a large business enterprise. The concept of strategy applies whenever a sequence of goal-oriented actions is based on large-scale and long-range planning. This monograph gives a systematic overview of the theory of strategies, a new area of enquiry developed over the past two decades by the author and his team. The projects described have clearly defined research objectives and are based on realistic assumptions about the environments in which the programming systems will work, and about the constraints and requirements they have to satisfy. Applications of the systems range over various aspects of air traffic control, automatic verification and validation of discrete-event simulation models, econometric model building, distributed planning systems for manufacturing, control of traffic lights, and others. The book is aimed at researchers, teachers and students in computer science, management science and certain areas of engineering. The reader should have some maturity in computer science and mathematics, and familiarity with the basic concepts of artificial intelligence. Full Product DetailsAuthor: Nicholas V. FindlerPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: Softcover reprint of the original 1st ed. 1990 Dimensions: Width: 15.50cm , Height: 1.60cm , Length: 23.50cm Weight: 0.464kg ISBN: 9783642757389ISBN 10: 3642757383 Pages: 282 Publication Date: 13 December 2011 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of Contents1. Introduction.- 2. Basic Concepts of Strategies, Decision Making, and Planning.- 3. The Quasi-Optimizer (QO) System.- 3.1. Introduction and Research Objectives.- 3.2. A Brief Survey of Related Work.- 3.3. The Approach.- 3.4. System Modules.- 3.5. The Implementation.- 3.6. Applications.- 3.7. Summary.- 3.8. Acknowledgements.- 4. The Advice Taker/Inquirer (AT/I).- 4.1. Introduction and Research Objectives.- 4.2. The Approach.- 4.3. The Implementation.- 4.4. Benefits of Using the AT/I.- 4.5. Applications in Assembly Line Balancing and Street Traffic Light Control.- 4.6. Summary.- 4.7. Acknowledgements.- 5. The Generalized Production Rule System (GPRS).- 5.1. Introduction and Research Objectives.- 5.2. The Approach.- 5.3. System Modules.- 5.4. The Implementation.- 5.5. Applications.- 5.6. Summary.- 5.7. Acknowledgements.- 6. Distributed Planning and Problem Solving Systems (DPPSS).- 6.1. Introduction and Research Objectives.- 6.2. A Distributed System for Air Traffic Control.- 6.3. A Distributed System for Manufacturing Control.- 6.4. A System for Distributed and Moving Resources and Tasks.- 6.5. A Distributed System for Street Traffic Light Control.- 6.6. Summary.- 6.7. Acknowledgements.- 7. Causal Modelling Systems (CMS and NEXUS).- 7.1. Introduction and Perspectives on Causation.- 7.2. The Causal Modelling System CMS.- 7.3. The Causal Modelling System NEXUS.- 7.4. Summary.- 7.5. Acknowledgements.- 8. The Predictive Man-Machine Environment (PMME).- 8.1. Introduction and Research Objectives.- 8.2. The Simulated Air Traffic Control Environment.- 8.3. An Evaluation of the Predictive Man-Machine Environment.- 8.4. Summary.- 8.5. Acknowledgements.- 9. Overall Summary.- References.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |