Chapter 1 Introduction; Part I Knowledge Organization and Representation; Chapter 2 Knowledge Representation-A Critique and A Proposal, RobertWilensky; Chapter 3 Learning and Memory in Machines and Animals: An AI Model that Accounts for Some Neurobiological Data, Richard H.Granger, Dale M.McNulty; Chapter 4 Functional Representation of Devices and Compilation of Diagnostic Problem-Solving Systems, V.Sembugamoorthy, B.Chandrasekaran; Chapter 5 Knowledge-Directed Retrieval of Autobiographical Memories, Brian J.Reiser; Part II Memory-Based Hypothesis Formation; Chapter 6 Problem Solving and Dynamic Memory, Janet L.Kolodner; Chapter 7 Learning How to Argue: Using Hypotheticals, Edwina L.Rissland; Chapter 8 Assignment of Responsibility in Ethical Judgments, William M.Bain; Chapter 9 Explanation: A First Pass, Roger C.Schank; Chapter 10 Acquisition of Device Models in Instructionless Learning, JeffShrager; Part III Memory-Based Natural Language Understanding; Chapter 11 Using Memory in Text Understanding, MichaelLebowitz; Chapter 12 A More General Approach to Word Disambiguation, Steven L.Lytinen; Chapter 13 Direct Memory Access Parsing, Christopher K.Riesbeck, Charles E.Martin; Chapter 14 Parsing with Parallelism: A Spreading-Activation Model of Inference Processing During Text Understanding, Richard H.Granger, Kurt P.Eiselt, Jennifer K.Holbrook;