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.
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.Contents: Artificial intelligence: tools and methods.- Learning.- Expert systems.- Speech and vision.- Cognitive modelling.- Natural language.- Explanation.- Uncertainty.- Author Index.
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.Contents: Artificial intelligence: tools and methods.- Learning.- Expert systems.- Speech and vision.- Cognitive modelling.- Natural language.- Explanation.- Uncertainty.- Author Index.
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