AI and Cognitive Science ’90 University of Ulster at Jordanstown 20–21 September 1990
This book contains the edited versions of papers presented at the 3rd Irish Conference on Artificial Intelligence and Cognitive Science, which was held at the University of Ulster at Jordanstown, Northern Ireland on 20-21 September 1990. The main aims of this annual conference are to promote AI rese...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
London
Springer London
1991, 1991
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| Edition: | 1st ed. 1991 |
| Series: | Workshops in Computing
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- Section 1: Artificial Intelligence — Tools and Methods
- What the Software Engineer Needs to Know About Al — and vice versa
- Developmental Support for Knowledge Based Systems
- Problem Description and Hypotheses Testing in Artificial Intelligence
- Section 2: Learning
- Machine Learning in Subject Classification
- A Test Bed for some Machine Learning Algorithms
- Section 3: Expert Systems
- Application of Expert Systems in Electrical Engineering
- Artificial Intelligence Applications in Geology: A Case Study with EXPLORER
- An Expert Assistant for High Frequency Electronic Circuit Design
- SWEEP: Social Welfare Entitlement Evaluation Program
- Architectural Issues in Knowledge-Based Signal Processing
- Section 4: Speech and Vision
- Neural Networks for Speech Recognition
- Using Observer-Controlled Movement and Expectations of Regularity to Recover Tridimensional Structure
- Measuring the ‘Rubber Rhomboid’ Effect
- Section 5: Cognitive Modelling
- Knowledge, Cognition and Acting in an Environment
- Section 6: Natural Language
- Natural Language Dialogues for Knowledge Acquisition
- Parsing English Directly into Propositional Representations
- SIMPR: Using Syntactic Processing of Text for Information Retrieval
- Very Large Lexicon Management System for Natural Language Generation
- Distributed Subsymbolic Representations for Natural Language: How Many Features do you Need?
- Section 7: Explanation
- Allowing Multiple Question Types to Influence the Resulting Explanation Structure
- The Construction of Explanations
- Section 8: Uncertainty
- Incomplete Information and Uncertainty
- Propagating Beliefs Among Frames of Discernment in Dempster-Shafer Theory
- Evidential Reasoning and Rule Strengths in Expert Systems
- Author Index