Systematic Introduction to Expert Systems

[1]  Frank Puppe,et al.  Towards Knowledge Acquisition by Experts , 1992, IEA/AIE.

[2]  Bob J. Wielinga,et al.  KADS: a modelling approach to knowledge engineering , 1992 .

[3]  Frank Puppe,et al.  Improving Case Based Classification with Expert Knowledge , 1991, GWAI.

[4]  Frank Puppe,et al.  DAX/MED2—A Diagnostic Expert System for Quality Assurance of an Automatic Transmission Control Unit , 1991 .

[5]  Ray Bareiss,et al.  Concept Learning and Heuristic Classification in WeakTtheory Domains , 1990, Artif. Intell..

[6]  Elisha Sacks,et al.  A Dynamic Systems Perspective on Qualitative Simulation , 1990, Artif. Intell..

[7]  J. Reggia,et al.  Abductive Inference Models for Diagnostic Problem-Solving , 1990, Symbolic Computation.

[8]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[9]  B. Kuipers,et al.  Taming intractable branching in qualitive simulation , 1989 .

[10]  P. Dague,et al.  Order of magnitude reasoning in qualitative differential equations , 1989 .

[11]  Andreas Günter,et al.  PLAKON—an approach to domain-independent construction , 1989, IEA/AIE '89.

[12]  Kristian J. Hammond,et al.  Case-Based Planning: Viewing Planning as a Memory Task , 1989 .

[13]  Virginia E. Barker,et al.  Expert systems for configuration at Digital: XCON and beyond , 1989, Commun. ACM.

[14]  Bob Wielinga,et al.  Models of Expertise in Knowledge Acquisition , 1989 .

[15]  Peter Struss Structuring of models and reasoning about quantities in qualitative physics , 1989 .

[16]  Reid G. Smith,et al.  Fundamentals of expert systems , 1988 .

[17]  Elisha Sacks Automatic Qualitative Analysis of Ordinary Differential Equations Using Piecewise Linear Approximations , 1988 .

[18]  Edward A. Feigenbaum,et al.  The rise of the expert company , 1988 .

[19]  David E. Smith,et al.  Reasoning About Action I: A Possible Worlds Approach , 1987, Artif. Intell..

[20]  Ramesh S. Patil,et al.  Compiling Causal Knowledge for Diagnostic Reasoning , 1988 .

[21]  Sandra Marcus,et al.  SALT: A Knowledge-Acquisition Tool for Propose-and-Revise Systems , 1988 .

[22]  William J. Long,et al.  The Development and Use of a Causal Model for Reasoning about Heart Failure , 1988 .

[23]  Larry Eshelman,et al.  MOLE: A Knowledge-Acquisition Tool for Cover-and-Differentiate Systems , 1988 .

[24]  Perry L. Miller,et al.  Causal Models for Medical Artificial Intelligence , 1988 .

[25]  Gary Kahn MORE: From Observing Knowledge Engineers to Automating Knowledge Acquisition , 1988 .

[26]  Phyllis Koton,et al.  Using experience in learning and problem solving , 1988 .

[27]  James R. Slagle,et al.  A Method for Evaluating Candidate , 1988 .

[28]  Janet L. Kolodner Capitalizing on Failure through Case-Based Inference , 1987 .

[29]  Frank Puppe,et al.  Requirements for a classification expert system shell and their realization in Med 2 , 1987, Appl. Artif. Intell..

[30]  Kristian J. Hammond,et al.  Explaining and Repairing Plans that Fail , 1987, IJCAI.

[31]  Drew McDermott,et al.  Temporal Data Base Management , 1987, Artif. Intell..

[32]  Raymond Reiter,et al.  A Theory of Diagnosis from First Principles , 1986, Artif. Intell..

[33]  Janet L. Kolodner,et al.  Extending Problem Solver Capabilities Through Case-Based Inference , 1987 .

[34]  Hans Voß Representing and analyzing causal, temporal, and hierarchical relations of devices , 1987 .

[35]  Ramesh S. Patil,et al.  AI in the 1980s and beyond : an MIT survey , 1987 .

[36]  Wolfgang Bibel,et al.  Automated Theorem Proving , 1987, Artificial Intelligence / Künstliche Intelligenz.

[37]  Johan de Kleer,et al.  An Assumption-Based TMS , 1987, Artif. Intell..

[38]  H. Dreyfus Mind Over Machine , 1986 .

[39]  Ian Benson Prospector: an expert system for mineral exploration , 1986 .

[40]  Kristian J. Hammond,et al.  Case-based planning: an integrated theory of planning, learning and memory , 1986 .

[41]  Drew McDermott,et al.  Introduction to artificial intelligence , 1986, Addison-Wesley series in computer science.

[42]  Jean-Claude Latombe,et al.  Making Compromises Among Antagonist Constraints in a Planner , 1985, Artif. Intell..

[43]  Luc Steels,et al.  Second-Generation Expert Systems , 1985, IEEE Expert.

[44]  Ronald J. Brachman,et al.  An Overview of the KL-ONE Knowledge Representation System , 1985, Cogn. Sci..

[45]  Judea Pearl,et al.  How to Do with Probabilities What People Say You Can't , 1985, Conference on Artificial Intelligence Applications.

[46]  W. Clancey Heuristic Classification Heuristic Cl,4ssification Table of Contents Abstract 1. Introduction 1 1 2. the Heuristic Classification Method Defined 2.1. Simple Classification 2.2. Data Abstraction 2.3. Heuristic Classification 3. Examples of Heuristic Classification , 1985 .

[47]  Johan de Kleer,et al.  How Circuits Work , 1984, Artif. Intell..

[48]  Kenneth D. Forbus Qualitative Process Theory , 1984, Artif. Intell..

[49]  Casimir A. Kulikowski,et al.  A Practical Guide to Designing Expert Systems , 1984 .

[50]  Lawrence M. Fagan,et al.  Extensions to the rule-based formalism for a monitoring task , 1984 .

[51]  James A. Reggia,et al.  Diagnostic Expert Systems Based on a Set Covering Model , 1983, Int. J. Man Mach. Stud..

[52]  Robert L. Blum,et al.  Modeling and encoding clinical causal relationships in a medical knowledge base , 1983 .

[53]  Frank Puppe,et al.  Overview on MED1: A Heuristic Diagnostics System with an Efficient Control-Structure , 1983, GWAI.

[54]  B. Chandrasekaran,et al.  Deep versus Compiled Knowledge Approaches to Diagnostic Problem-Solving , 1982, Int. J. Man Mach. Stud..

[55]  B. Chandrasekaran,et al.  Conceptual Representation of Medical Knowledge for Diagnosis by Computer: MDX and Related Systems , 1983, Adv. Comput..

[56]  Allen Newell,et al.  The Knowledge Level , 1989, Artif. Intell..

[57]  Marc B. Vilain,et al.  A System for Reasoning About Time , 1982, AAAI.

[58]  R L Blum,et al.  Discovery, confirmation, and incorporation of causal relationships from a large time-oriented clinical data base: the RX project. , 1982, Computers and biomedical research, an international journal.

[59]  J. S. Brown,et al.  Pedagogical, natural language, and knowledge engineering techniques in SOPHIE-I, II and III , 1982 .

[60]  Ramesh S. Patil,et al.  Causal representation of patient illness for electrolyte and acid-base diagnosis , 1981 .

[61]  Charles L. Forgy,et al.  OPS5 user's manual , 1981 .

[62]  Nils J. Nilsson,et al.  Principles of Artificial Intelligence , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[63]  J. William,et al.  System aids in constructing consultation programs , 1981 .

[64]  Peter Friedland Knowledge-based experiment design in molecular genetics , 1979 .

[65]  Peter Szolovits,et al.  Categorical and Probabilistic Reasoning in Medical Diagnosis , 1990, Artif. Intell..

[66]  Ira P. Goldstein,et al.  The FRL Primer , 1977 .

[67]  Gerald J. Sussman,et al.  Forward Reasoning and Dependency-Directed Backtracking in a System for Computer-Aided Circuit Analysis , 1976, Artif. Intell..

[68]  Earl David Sacerdoti,et al.  A Structure for Plans and Behavior , 1977 .

[69]  E H Shorthffe,et al.  Computer-based medical consultations mycin , 1976 .

[70]  Edward H. Shortliffe,et al.  A model of inexact reasoning in medicine , 1990 .

[71]  David L. Waltz,et al.  Understanding Line drawings of Scenes with Shadows , 1975 .

[72]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[73]  J F Fries,et al.  Time-oriented patient records and a computer databank. , 1972, JAMA.

[74]  Lee B. Lusted,et al.  Introduction to medical decision making , 1968 .

[75]  A. Degroot,et al.  Thought and choice in chess , 1965 .