AI and Cognitive Science ’90

1. Front Matter

   Pages i-xv

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2. Artificial Intelligence — Tools and Methods

   1. Front Matter

      Pages 1-1

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   2. What the software engineer should know about AI -- and vice versa

      • Derek Partridge

      Pages 3-11

   3. Developmental Support for Knowledge Based Systems

      • H. Sorensen, T. A. Delaney, W. P. Kenneally, S. J. M. Murphy, F. B. O’Flaherty, A. B. O’Mahony et al.

      Pages 12-25

   4. Problem description and hypotheses testing in Artificial Intelligence

      • Paul Mc Kevitt, Derek Partridge

      Pages 26-47

3. Learning

   1. Front Matter

      Pages 49-49

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   2. Machine Learning in Subject Classification

      • Catriona Ward, Ita Kavanagh, John Dunnion

      Pages 51-69

   3. A Test Bed for Some Machine Learning Algorithms

      • Ray Hickey

      Pages 70-88

4. Expert Systems

   1. Front Matter

      Pages 89-89

      PDF

   2. Application of Expert Systems in Electrical Engineering

      • G. Cross, J. Blakley, F. Shui

      Pages 91-108

   3. Artificial Intelligence Applications in Geology: A Case Study with EXPLORER

      • M. D. Mulvenna, C. Woodham, J. B. Gregg

      Pages 109-119

   4. An Expert Assistant for High Frequency Electronic Circuit Design

      • M. Brennan, V. F. Fusco, J. A. C. Stewart

      Pages 120-130

   5. SWEEP: Social Welfare Entitlement Evaluation Program

      • H. Sorensen, O. M. Flynn

      Pages 131-146

   6. Architectural Issues in Knowledge-Based Signal Processing

      • Reza Beic-Khorasani, Fabian C. Monds, Terry J. Anderson

      Pages 147-160

5. Speech and Vision

   1. Front Matter

      Pages 161-161

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   2. Neural Networks for Speech Recognition

      • E. Ambikairajah, S. Lennon

      Pages 163-177

   3. Using observer-controlled movement and expectations of regularity to recover tridimensional structure

      • Roddy Cowie, Dearbhaile Bradley, Mark Livingstone

      Pages 178-192

   4. Measuring the ‘Rubber Rhomboid’ effect

      • David Clements, Roddy Cowie

      Pages 193-205

6. Cognitive Modelling

   1. Front Matter

      Pages 207-207

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   2. Knowledge, Cognition and Acting in an Environment

      • Markus F. Peschl

      Pages 209-229

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 research in Ireland, to provide a forum for the exchange of ideas amongst the different disciplines concerned with the study of cognition, and to provide an opportunity for industry to see what research is being carried out in Ireland and how they might benefit from the results of this research. Although most of the partiCipants at the conference came from universities and companies within Ireland, a positive feature of the conference was the extent of interest shown outside of Ireland, resulting in partiCipants from USA, Canada, Austria, and England. The keynote speakers were Professor David Chin, University of Hawaii, and Professor Derek Partridge, University of Exeter, and the topics included machine learning, AI tools and methods, expert systems, speech, vision, natural language, reasoning with uncertain information, and explanation. The sponsors of the conference were Digital Equipment Co (Galway) and the Industrial Development Board for Northern Ireland.

• Frames
• artificial intelligence
• cognition
• design
• expert system
• intelligence
• knowledge base
• knowledge-based systems
• language
• learning
• machine learning
• modeling
• natural language
• speech recognition
• uncertainty

• Department of Information Systems, University of Ulster at Jordanstown, Newtownabbey, Northern Ireland

  Michael F. McTear, Norman Creaney

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