Modelling and simulation methodology : knowledge systems' paradigms

목차 (Table of Contents)

• CONTENTS
• Foreword = ⅴ
• Major Category Index = ⅶ
• SECTION Ⅰ PARADIGMS AND METHODOLOGICAL BASES
• Chapter Ⅰ.1 The Role of Artificial Intelligence / Entity Structure Concept Manipulation Methods in System Modelling and Design / M.S. Elzas = 3
• Chapter Ⅰ.2 Bases for Advanced Simulation : Paradigms for the Future / T.I. $$\ddot O$$ren = 29
• Chapter Ⅰ.3 Concepts for Distributed Knowledge Maintenance in Variable Structure Models / B.P. Zeigler = 45
• Chapter Ⅰ.4 Inductive Systems Modelling : An Overview / G.J. Klir = 55
• Chapter Ⅰ.5 An Adaptive, Selfmodifying, Non Goal Directed Modelling Methodology / P. Hogeweg ; B. Hesper = 77
• Chapter Ⅰ.6 On the Foundations of Knowledge Engineering / R.A. Orchard ; E.J. Reese ; M.R. Tausner = 93
• Chapter Ⅰ.7 Aspects of Qualitative Reasoning and Simulation for Knowlege Intensive Problem Solving / S.L. Hardt = 127
• SECTION Ⅱ ENVIRONMENTS
• Chapter Ⅱ.1 MASCOT : A Prolog - Based Simulation Modelling and Training Environment / G.T. Mackulak ; J.K. Cochran = 145
• Chapter Ⅱ.2 Towards Automated Model Development and Validation for Corp Production / J.M. Mckinion = 161
• Chapter Ⅱ.3 SIMSMART : Dynamic Simulation for Automated Control and Optimization of Complex Industrial Processes / D. Waye ; A. Terroux ; M. Walters = 177
• Chapter Ⅱ.4 $$SIMKIT^TM$$ : Knowledge - Based Simulation Tools / D. Silverman ; M. Stelzner = 189
• Chapter Ⅱ.5 An Interactive System for Continuous Simulation Problems / R.L. Peskin ; M.F. Russo ; A.D. Kowalski = 197
• SECTION Ⅲ RUSE BASED MODELLING AND SIMULATION
• Chapter Ⅲ.1 A Knowledge - Based Modelling and Simulation Tool / H. Gallaire = 209
• Chapter Ⅲ.2 Modelling and Simulation in Hardware Troubleshooting / F. Malabocchia = 221
• Chapter Ⅲ.3 Formalization of Tradeoff Rules and Other Techniques for Comlrehending Complex Rule - Based Models / P.K. Cavis ; S.C. Bankes ; R. Weissler = 231
• Chapter Ⅲ.4 ROBS : Rules and Objects Based Simulation / A. Radiy ; R.G. Sargent = 241
• Chapter Ⅲ.5 Rule Based Discrete System Simulation and Verification of Petri Nets / D. Duan = 257
• Chapter Ⅲ.6 System Knowledge, Contexts and Natural Language / K. Kornwachs = 267
• SECTION Ⅳ GENETIC BASED METHODOLOGY
• Chapter Ⅳ.1 Genetics - Based Machine Learning : Whence it Came, Where it's Going / D.E. Goldberg = 285
• Chapter Ⅳ.2 Modelling Emergent Properties of Biological Systems / M.M. Rizki = 301
• Chapter Ⅳ.3 Optimizing Network Link Sizes with Genetic Algorithms / L. Davis ; S. Coombs = 317
• Chapter Ⅳ.4 Modelling High - Level Symbolic Structures in Parallel Systems that Support Learning / S. Forrest = 333
• Chapter Ⅳ.5 Hierarchical Credit Allocation in a Classifier System / S. W. Wilson = 351
• Chapter Ⅳ.6 Learning Plateaus in an Adaptive Rule - Based System / C.P. Stackhouse ; B.P. Zeigler = 359
• SECTION Ⅴ APPLICATIONS
• Chapter Ⅴ.1 A learning Behavior Model of Hierarchical Automata in a Nonstationary Multiteacher Environment / N. Baba = 383
• Chapter Ⅴ.2 Abstraction Level Traversal in Hierarchical Modelling / P.A. Fishwick = 393
• Chapter Ⅴ.3 Implementing Methodology - Based Tools in DEVS - Scheme / B.P. Zeigler ; T.G. Kim ; S. Sevinc ; G.Q. Zhang = 431
• Chapter Ⅴ.4 Experimental Frame Generation in a Knowledge - Based System Design and Simulation Environment / J.W. Rozenblit ; J.F. Hu = 451
• Subject Index = 467