<span>Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and include several systems developed from the study of expert sy
Intelligent Decision Support in Process Environments
β Scribed by Didier Dubois, Henri Prade (auth.), Erik Hollnagel, Giuseppe Mancini, David D. Woods (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 1986
- Tongue
- English
- Leaves
- 512
- Series
- NATO ASI Series 21
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Front Matter....Pages I-XV
Front Matter....Pages 1-1
Recent Models of Uncertainty and Imprecision As a Basis for Decision Theory: Towards Less Normative Frameworks....Pages 3-24
Decision Complexity and Information Measures....Pages 25-38
The Use of Weak Information Structures in Risky Decisions....Pages 39-44
Time and Decision....Pages 45-57
Decision Making in Complex Systems....Pages 61-85
Does The Expert Know? The Reliability of Predictions and Confidence Ratings of Experts....Pages 87-103
Front Matter....Pages 105-105
The Elicitation of Expert Knowledge....Pages 107-122
New Views of Information Processing: Implications for Intelligent Decision Support Systems....Pages 123-136
Expert Knowledge, Its Acquisition and Elicitation in Developing Intelligent Tools for Process Control....Pages 137-143
Procedural Thinking, Programming, and Computer Use....Pages 145-150
Paradigms for Intelligent Decision Support....Pages 153-173
A Framework for Cognitive Task Analysis in Systems Design....Pages 175-196
Decision Models and the Design of Knowledge Based Systems....Pages 197-210
Cognitive System Performance Analysis....Pages 211-226
Front Matter....Pages 227-227
Technical Assistance to the Operator in Case of Incident: Some Lines of Thought....Pages 229-253
Recurrent Errors in Process Environments: Some Implications for the Design of Intelligent Decision Support Systems....Pages 255-270
Modelling Cognitive Activities: Human Limitations In Relation to Computer Aids....Pages 273-291
Decision Demands and Task Requirements in Work Environments: What Can be Learnt from Human Operator Modelling....Pages 293-306
Modelling Humans and Machines....Pages 307-323
Architecture of Man β Machine Decision Making Systems....Pages 327-339
Front Matter....Pages 227-227
Designing an Intelligent Information System Interface....Pages 341-345
Skills, Displays and Decision Support....Pages 347-352
Automated Fault Diagnosis....Pages 353-362
Knowledge β Based Classification with Interactive Graphics....Pages 363-369
Front Matter....Pages 371-371
Intelligent Decision Aids for Process Environments: An Expert System Approach....Pages 373-394
A Model of Air Combat Decisions....Pages 395-405
Artificial Intelligence and Cognitive Technology: Foundations and Perspectives....Pages 407-420
Human and Machine Knowledge in Intelligent Systems....Pages 421-433
Front Matter....Pages 435-435
Panel Discussion on Decision Theory....Pages 437-439
Panel Discussion on Systems Engineering....Pages 441-445
Panel Discussion on Cognitive Engineering....Pages 447-450
Panel Discussion on Artificial Intelligence....Pages 451-460
Afterthoughts....Pages 461-466
Back Matter....Pages 467-525
β¦ Subjects
Artificial Intelligence (incl. Robotics); Business Information Systems
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