M.A. Bramer University of Portsmouth, UK This volume comprises the refereed technical papers presented at ES2ooo, the Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, held in Cambridge in December 2000, together with an invited keynote paper by Professor Austin Tate. The conference was organised by SGES, the British Computer Society Specialist Group on Knowledge Based Systems and Applied Artificial Intelligence. The papers in this volume present new and innovative developments in the field, divided into sections on learning, case-based reasoning, knowledge representation, knowledge engineering, and belief acquisition and planning. The refereed papers begin with a paper entitled 'A Resource Limited Artificial Immune System for Data Analysis', which describes a machine learning algorithm inspired by the natural immune system. This paper was judged to be the best refereed technical paper submitted to the conference. The considerable growth in interest in machine learning in recent years is well reflected in the content of the next three sections, which comprise four papers on case-based reasoning and nine papers on other areas of machine learning. The remaining papers are devoted to knowledge engineering, knowledge representation, belief acquisition and planning, and include papers on such important emerging topics as knowledge reuse and representing the content of complex multimedia documents on the web. This is the seventeenth volume in the Research and Development series. The Application Stream papers are published as a companion volume under the title Applications and Innovations in Intelligent Systems VIII.
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Research
Illustrationen
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 22 mm
Gewicht
ISBN-13
978-1-85233-403-1 (9781852334031)
DOI
10.1007/978-1-4471-0269-4
Schweitzer Klassifikation
Technical Keynote Address.- Intelligible AI Planning.- Best Technical Paper.- A Resource Limited Artificial Immune System for Data Analysis.- Session 1: Learning I.- Experiences with a Weighted Decision Tree Learner.- A Case Study of Strategic Induction: the Roman Numerals Data Set.- Selecting Optimal Split-Functions for Large Datasets.- Learning with C4.5 in a Situation Calculus Domain.- Session 2: Case Based Reasoning.- Incremental Footprint-Based Retrieval.- Macro and Micro Applications of Case-Based Reasoning to Feature-Based Product Selection.- Formal Concept Analysis as a Support Technique for CBR.- 2D vs 3D Visualisation Techniques for Case-Based Reasoning.- Session 3: Learning II.- An Instance-Based Approach to Pattern Association Learning with Application to the English Past Tense Verb Domain.- Rule Generation Based on Rough Set Theory for Text Classification.- Grouping Multivariate Time Series Variables: Applications to Chemical Process and Visual Field Data.- Genetic Algorithm Behaviour in the Task of Finding the Multi-Maximum Domain.- A Modified Perceptron Algorithm for Computer-Assisted Diagnosis.- Session 4: Knowledge Representation.- Uniform Representation of Content and Structure for Structured Document Retrieval.- Implementing Metadata on the Web: a Conceptual, NKRL-Based Approach.- Design and Development of a Decision Support System to Support Discretion in Refugee Law.- Orthofaces for Face Recognition.- Session 5: Knowledge Engineering.- Supporting Knowledge-Driven Processes in a Multiagent Process Management System.- The Y Link Oriented Technique for Reuse in KBS.- Modelling Agents and Communication using Common KADS.- Designing for Scalability in a Knowledge Fusion System.- Session 6: Belief Acquisition and Planning.- Acquiring Information from Books.- Container Stowage Pre-Planning: Using Search to Generate Solutions, A Case Study.- A Correct Algorithm for Efficient Planning with Preprocessed Domain Axioms.- Multi-Layered PSMs for Planning.- Author Index.
