β Scribed by Spyros Tzafestas, Henk Verbruggen (auth.), Professor Spyros G. Tzafestas, Henk B. Verbruggen (eds.)
No coin nor oath required. For personal study only.
This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.
Front Matter....Pages i-xxix
Front Matter....Pages N1-N1
Artificial Intelligence in Industrial Decision Making, Control, and Automation: An Introduction....Pages 1-39
Conceptual Integration of Qualitative and Quantitative Process Models....Pages 41-65
Timing Problems and Their Handling at System Integration....Pages 67-87
Analysis for Correct Reasoning in Interactive Man-Robot Systems: Disjunctive Syllogism with Modus Ponens and Modus Tollens....Pages 89-97
Front Matter....Pages 99-99
Applied Intelligent Control Systems....Pages 101-126
Intelligent Simulation in Designing Complex Dynamic Control Systems....Pages 127-158
Multiresolutional Architectures for Autonomous Systems with Incomplete and Inadequate Knowledge Representation....Pages 159-223
Distributed Intelligent Systems in Cellular Robotics....Pages 225-246
Distributed Artificial Intelligence in Manufacturing Control....Pages 247-294
Front Matter....Pages 295-295
Artificial Neural Networks for Modelling....Pages 297-325
Neural Networks in Robot Control....Pages 327-387
Control Strategy of Robotic Manipulator Based on Flexible Neural Network Structure....Pages 389-403
Neuro-Fuzzy Approaches to Anticipatory Control....Pages 405-419
New Approaches to Large-Scale Scheduling Problems: Constraint Directed Programming and Neural Networks....Pages 421-445
Front Matter....Pages 447-447
Knowledge-Based Fault Diagnosis of Technological Systems....Pages 449-506
Model-Based Diagnosis: State Transition Events and Constraint Equations....Pages 507-523
Diagnosis with Explicit Models of Goals and Functions....Pages 525-534
Front Matter....Pages 535-535
Multi-Sensor Integration for Mobile Robot Navigation....Pages 537-554
Incremental Design of a Flexible Robotic Assembly Cell Using Reactive Robots....Pages 555-571
On the Comparison of AI and DAI Based Planning Techniques for Automated Manufacturing Systems....Pages 573-629
Front Matter....Pages 535-535
Knowledge-Based Supervision of Flexible Manufacturing Systems....Pages 631-662
A Survey of Knowledge-Based Industrial Scheduling....Pages 663-685
Reactive Batch Scheduling....Pages 687-722
Applying Groupware Technologies to Support Management in Organizations....Pages 723-755
Back Matter....Pages 757-767
Artificial Intelligence (incl. Robotics);Systems Theory, Control;Statistical Physics, Dynamical Systems and Complexity;Mechanical Engineering
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