AI and Cognitive Science '90: University of Ulster at Jordanstown 20-21 September 1990 - Softcover

Inhaltsangabe

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.

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