Description
The focus of this volume is ``Heterogeneous Knowledge and Problem Solving Integration'', i.e. the combined use of different knowledge representation and problem solving paradigms.
This is a central topic for the design and implementation of problem solving systems, since, from a pragmatic and engineering standpoint, the solution of a large class of problems cannot take place within one single representation language or problem solving paradigm. Heterogeneous systems represent not only a pragmatic answer, but also a theoretical alternative to the homogeneous paradigms.
Chapter
Chapter 2. Coupling deep and shallow knowledge in anintelligent tutoring system
pp.：
22 – 30
Chapter 3. Deciding horn clause implication problems by ordered semantic resolution
pp.：
30 – 38
Chapter 4. Integrated Architecture for Counseling Expert Systems
pp.：
38 – 48
Chapter 5. Expert Systems and Hypertext: A Promising Integration For training
pp.：
48 – 60
Chapter 6. Temporal knowledge denotation in the context of the descriptional component of a knowledge representation language
pp.：
60 – 72
Chapter 7. Two heuristics integrating probabilities and logic
pp.：
72 – 80
Chapter 8. Hybrid Processing: a Combination of 'intelligent' Symbol Manipulation and Parallel Distributed Processing
pp.：
80 – 88
Chapter 9.
Associative Database Retrieval Using Back Propagation Networks
pp.：
88 – 100
Chapter 10. Neural representation of concepts for robust inference
pp.：
100 – 110
Chapter 11. Distributed Knowledge Bases Using Parallel Logic Programming
pp.：
110 – 116
Chapter 12. A defeasible logic for multi-expert systems
pp.：
116 – 126
Chapter 13. Autoepistemic Predicate Logic
pp.：
126 – 136
Chapter 14. Deal – a non-normal deductive relational language
pp.：
136 – 146
Chapter 15. Combination of macro-transform with general problem-solving methods used by human beings1
pp.：
146 – 158
Chapter 16. Consistency of belief-sets in truth-maintenance1
pp.：
158 – 168
Chapter 17. A dual-route parsimonious covering model of descriptive text interpretation
pp.：
168 – 176
Chapter 18. A Natural Language Interface To An AI Development Tool For Reasoning With Uncertainty
pp.：
176 – 182
Chapter 19. Building a learning system for a multimedia intelligent interface
pp.：
182 – 198
Chapter 20. Learning Characteristic Rules from Relational Databases
pp.：
198 – 208
Chapter 21. An intelligent strategy for motion interpretation in an emg- controlled prosthesis: an application of ai to biomedical engineering
pp.：
208 – 216
Chapter 22. Rational Metareasoning arid Compilation for Optimizing Decisions Under Bounded Resources
pp.：
216 – 228
Chapter 23. What is Hybrid in Hybrid Representation and Reasoning Systems?
pp.：
228 – 240
Chapter 24. Neural Networks and Symbolic Computation in Cognitive Modelling
pp.：
240 – 247
Computational Intelligence, II
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