Engineering Systems with Intelligence

1. Front Matter

   Pages i-xv

   PDF

2. High Autonomy Systems

   1. Front Matter

      Pages 1-1

      PDF

   2. Model-Based Architecture for High Autonomy Systems

      • B. P. Zeigler, S. D. Chi, F. E. Cellier

      Pages 3-22

3. Knowledge Based System

   1. Front Matter

      Pages 23-23

      PDF

   2. Real Time Knowledge Based System: The Next Step

      • Afshin Shamsolmaali

      Pages 25-32

   3. Expert System Shell Flexibility: Best Case Study

      • Sanja Vraneš

      Pages 33-41

   4. The Phos Conceptual Language for Knowledge Representation

      • G. A. Vouros, C. D. Spyropoulos

      Pages 43-49

   5. A Meta Translator of a Logic Grammar That Handles Missing Constituents

      • N. N. Karanikolas

      Pages 51-58

   6. A Truly Declarative Prolog-Like Language

      • G Papakonstantinou, T Panayiotopoulos, M Sideri

      Pages 59-64

   7. Predicate Logic and Inexact Reasoning

      • T. Panayiotopoulos, G. Papakonstantinou

      Pages 65-71

   8. Diagram Understanding using Graphics Constraint Grammars

      • Robert P. Futrelle, Ioannis A. Kakadiaris

      Pages 73-81

   9. Knowledge Management in Process Modelling

      • R. V. van de Ree, H. Koppelaar, E. J. H. Kerckhoffs

      Pages 83-90

   10. The Complementary Roles of Expert Systems and Optimization Tools in Dynamic System Identification

       • H. Nguyen-Phu, P. Weiler, R. T. Stefani

       Pages 91-98

   11. Intelligent Task Planning and Execution on Assembly Robotics

       • Carlos Ramos, Eugénio Oliveira

       Pages 99-106

   12. Multi-Agent Cooperation for Assembly Robotics

       • Eugenio Oliveira, Carlos Ramos

       Pages 107-115

   13. Experiments with a Rule-Based Robot Palletiser

       • Jian Peng, Stephen Cameron

       Pages 117-124

   14. Modelling of Complex Systems for Control and Fault Diagnostics: A Knowledge Based Approach

       • Alexandros Soumelidis, András Edelmayer

       Pages 125-132

   15. A consulting system for ECG diagnosis

       • E. A. Giakoumakis, G. Papakonstantinou

       Pages 133-137

   16. Blood Pressure Signal Diagnosis-An Expert System Approach

       • G. Frangakis, P. E. Trahanias

       Pages 139-146

   17. On the use of Expert Systems for Speaker Verification

       • D. A. Gaganelis, E. D. Frangoulis

       Pages 147-154

This book contains a selection of papers presented at the "European Robotics and Intelligent Systems Conference" (EURISCON '91) held in Corfu. Greece (June 23-28. 1991). It is devoted to the analysis. design and applications of technological systems with built-in intelligence achieved through appropriate blending of mathematical, symbolic. sensing. computer processing. and feedback control concepts. methods and software / hardware tools. System intelligence includes human-like capabilities such as learning. observation. perception. interpretation. reasoning. planning. decision making. and action. Integrated intelligent decision and control systems obey Saridis' prinCiple of Increasing Precision with Decreasing Intelligence (IPDI). and have a hierarchical structure with three basic levels. namely Organization. Coordination. and Execution Levels. As we proceed from the organization to the execution level. the precision about the jobs to be completed increases and accordingly the intelligence reqUired for these jobs decreases. As an example. it is mentioned here that in an intelligent robotic system the organization tasks can be realized using a neural net. the coordination tasks by a Petri net. and the execution tasks by local sensors and actuators. The field of intelligent systems is a new interdisciplinary field with continuously increasing interest and expansion. It is actually the outcome of the synergetic interaction and cooperation of classical fields such as system theory. control theory. artificial intelligence. operational research. information theory. electronics. communications. and others.

• Fuzzy
• Sensor
• Simulation
• algorithms
• automation
• autonom
• complex system
• fuzzy logic
• image processing
• logic
• ontology
• production
• quality assurance
• robot
• robotics
• quality control, reliability, safety and risk

• Department of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

  Spyros G. Tzafestas

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