Contributions to a Computer-Based Theory of Strategies

1. Front Matter

   Pages I-XVII

   PDF

2. Introduction

   • Nicholas V. Findler

   Pages 1-5

3. Basic Concepts of Strategies, Decision Making, and Planning

   • Nicholas V. Findler

   Pages 7-11

4. The Quasi-Optimizer (QO) System

   • Nicholas V. Findler

   Pages 13-41

5. The Advice Taker/Inquirer (AT/I)

   • Nicholas V. Findler

   Pages 43-90

6. The Generalized Production Rule System (GPRS)

   • Nicholas V. Findler

   Pages 91-109

7. Distributed Planning and Problem Solving Systems (DPPSS)

   • Nicholas V. Findler

   Pages 111-185

8. Causal Modelling Systems (CMS and NEXUS)

   • Nicholas V. Findler

   Pages 187-239

9. The Predictive Man-Machine Environment (PMME)

   • Nicholas V. Findler

   Pages 241-253

10. Overall Summary

    • Nicholas V. Findler

    Pages 255-258

11. Back Matter

    Pages 259-282

    PDF

People 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.

• Entscheidungsfindung
• Kausale Modellierung
• Maschinenlernen
• Mensch-Maschine-System
• Notation
• artificial intelligence
• computer-aided design (CAD)
• control
• intelligence
• mathematics
• model
• modeling
• problem solving
• simulation
• verification
• complexity

• Computer Science Department, Arizona State University, Tempe, USA

  Nicholas V. Findler

Policies and ethics