Ebook: 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 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.

---

This volume contains the 24 papers presented at the Third Irish Conference on Artificial Intelligence and Cognitive Science, held at the University of Ulster, Jordanstown, in September 1990. This conference has become a major annual forum in Ireland for the presentation and discussion of current research work in the multidisciplinary area of artificial intelligence. The aim of the AICS '90 conference was to provide a forum for industry and academic research to discuss AI and AI-related topics. Each paper presents new research results within its own specific area.

---

This volume contains the 24 papers presented at the Third Irish Conference on Artificial Intelligence and Cognitive Science, held at the University of Ulster, Jordanstown, in September 1990. This conference has become a major annual forum in Ireland for the presentation and discussion of current research work in the multidisciplinary area of artificial intelligence. The aim of the AICS '90 conference was to provide a forum for industry and academic research to discuss AI and AI-related topics. Each paper presents new research results within its own specific area.
Content:
Front Matter....Pages i-xv
Front Matter....Pages 1-1
Developmental Support for Knowledge Based Systems....Pages 3-11
Problem description and hypotheses testing in Artificial Intelligence....Pages 12-25
Front Matter....Pages 26-47
Machine Learning in Subject Classification....Pages 49-49
A Test Bed for Some Machine Learning Algorithms....Pages 51-69
Front Matter....Pages 70-88
Application of Expert Systems in Electrical Engineering....Pages 89-89
Artificial Intelligence Applications in Geology: A Case Study with EXPLORER....Pages 91-108
An Expert Assistant for High Frequency Electronic Circuit Design....Pages 109-119
SWEEP: Social Welfare Entitlement Evaluation Program....Pages 120-130
Architectural Issues in Knowledge-Based Signal Processing....Pages 131-146
Front Matter....Pages 147-160
Neural Networks for Speech Recognition....Pages 161-161
Using observer-controlled movement and expectations of regularity to recover tridimensional structure....Pages 163-177
Measuring the ‘Rubber Rhomboid’ effect....Pages 178-192
Front Matter....Pages 193-205
Knowledge, Cognition and Acting in an Environment....Pages 207-207
Front Matter....Pages 209-229
Natural Language Dialogs for Knowledge Acquisition....Pages 231-231
Parsing English Directly into Propositional Representations....Pages 233-243
SIMPR: Using Syntactic Processing of Text for Information Retrieval....Pages 244-253
Very Large Lexicon Management System for Natural Language Generation....Pages 254-267
Distributed Subsymbolic Representations for Natural Language: How many Features Do You Need?....Pages 268-278
Front Matter....Pages 279-305
Allowing Multiple Question Types to Influence the Resulting Explanation Structure....Pages 307-307
Front Matter....Pages 309-336
The Construction of Explanations....Pages 307-307
Front Matter....Pages 337-351
Incomplete Information and Uncertainty....Pages 353-353
Propagating Beliefs among Frames of Discernment in Dempster-Shafer Theory....Pages 355-366
Evidential Reasoning and Rule Strengths in Expert Systems....Pages 367-377
Back Matter....Pages 378-390
....Pages 391-392