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Table of Contents

Recent Models of Uncertainty and Imprecision as a Basis for Decision Theory: Towards Less Normative Frameworks.- Decision Complexity and Information Measures.- The Use of Weak Information Structures in Risky Decisions.- Time and Decision.- Decision Making in Complex Systems.- Does the Expert Know? The Reliability of Predictions and Confidence Ratings of Experts.- The Elicitation of Expert Knowledge.- New Views of Information Processing: Implications for Intelligent Decision Support Systems...- Expert Knowledge, its Acquisition and Elicitation in Developing Intelligent Tools for Process Control.- Procedural Thinking, Programming, and Computer Use.- Paradigms for Intelligent Decision Support.- A Framework for Cognitive Task Analysis in Systems Design.- Decision Models and the Design of Knowledge Based Systems.- Cognitive System Performance Analysis.- Technical Assistance to the Operator in Case of Incident: Some Lines of Thought.- Recurrent Errors in Process Environments: Some Implications for the Design of Intelligent Decision Support Systems.- Modelling Cognitive Activities: Human Limitations in Relation to Computer Aids.- Decision Demands and Task Requirements in Work Environments: What Can be Learnt From Human Operator Modelling.- Modelling Humans and Machines.- Architecture of Man-Machine Decision Making Systems.- Designing an Intelligent Information System Interface.- Skills, Displays and Decision Support.- Automated Fault Diagnosis.- Knowledge-Based Classification With Interactive Graphics.- Intelligent Decision Aids for Process Environments: An Expert System Approach.- A Model of Air Combat Decisions.- Artificial Intelligence and Cognitive Technology: Foundations and Perspectives.- Human and Machine Knowledge in Intelligent Systems.- Panel I: Decision Theory.- Panel II: Systems Engineering.- Panel III: Cognitive Engineering.- Panel IV: Artificial Intelligence.- Afterthoughts.- Section 6: References.- Appendix A: Abstracts of Short Papers.- Appendix B: List of Participants.