AI and Cognitive Science ’89 Dublin City University 14–15 September 1989

This volume contains the texts of papers presented at the Second Irish Conference on Artificial Intelligence and Cognitive Science, held at Dublin City University in September 1989. This Conference has now become the major annual forum in Ireland for the presentation and discussion of current research work in the multi-disciplinary area of Artificial Intelligence. Papers in this volume have been divided into seven sections which vary in their subject matter. Image processing, human-computer interaction, planning, applications and theory of expert systems, learn­ ing, speech, and natural language processing and semantics repre­ sents as broad a spectrum of AI and AI-related topics as can be found in current AI research. This harmonises quite well with the aims and scope of the AICS'89 conference which were to provide a forum for industry and academic research to discuss AI and AI-related topics and we were delighted that such a broad coverage of topics was achieved. Despite the broad nature, however, none of the papers are primarily review articles; each paper presents new research results within its own specific area.

Section 1: Image Processing.- Application of Artificial Intelligence to Two Dimensional Assembly Tasks.- IO: Towards an Alternative Image of Human Vision.- Section 2: Human-Computer Interaction.- An Expert System for the Elaboration of Teaching Plan Based on a Subject-Matter Model.- Computer Recognition of Nonverbal Behaviour: Conversational Pragmatics in Human-Computer Interaction.- A General Effect Representation for Operating System Commands.- Section 3: Planning.- Speaking About Plans.- Automatically Derived Heuristics for Planning Search.- Section 4: Expert Systems, Applications and Theory.- On Probabilistic Logic.- An Expert System for Programming Assistance in Complex Environments, The ESPACE System.- PEMES — A Petroleum Exploration Oriented Model Expert System.- Combining Evidence in the Extended Dempster-Shafer Theory.- Issues of Real-Time Expert Systems.- Section 5: Learning.- Training Neural Networks: Strategies and Tactics.- Computational Darwinism, or: Who Teaches the Teacher?.- The Emergence of Higher Levels of Description.- Robot Program Construction from Examples.- Section 6: Speech Processing.- A Physiologically Based Front-End Processor for Speech Recognition.- Section 7: Natural Language Processing.- Deriving a Natural Set of Semantic Primitives from Longman Dictionary of Contemporary English.- Representing Knowledge About Words.- The Logical Structure of WH-Clauses.