M.A.BRAMER University ofPortsmouth, UK This volume comprises the refereed technical papers presented at AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2006. The conference was organised by SGAI, the British Computer Society Specialist Group on Artificial Intelligence. The papers in this volume present new and innovative developments in the field, divided into sections on AI Techniques, Knowledge Discovery in Data, Argumentation, Dialogue Games and Optimisation, Knowledge Representation and Management, Semantic Web, and Model Based Systems and Simulation. For the first time the volume also includes the text of short papers presented as posters at the conference. This year's prize for the best refereed technical paper was won by a paper entitled Combining Task Execution with Background Knowledge for the Verification of Medical Guidelines' written by a team comprising Arjen Hommersom, Perry Groot and Peter Lucas (University of Nijmegen, The Netherlands) and Michael Balser and Jonathan Schmitt (University ofAugsburg, Germany). SGAI gratefully acknowledges the long-term sponsorship of Hewlett-Packard Laboratories (Bristol) for this prize, which goes back to the 1980s. This is the twenty-third 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 XIV. On behalfofthe conference organising committee I should like to thank all those who contributed to the organisation of this year's technical programme, in particular the programme committee members, the executive programme committee and our administrator Mark Firman.
Auflage
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
Research
Illustrationen
85
85 s/w Abbildungen
XIV, 419 p. 85 illus.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 24 mm
Gewicht
ISBN-13
978-1-84628-662-9 (9781846286629)
DOI
10.1007/978-1-84628-663-6
Schweitzer Klassifikation
Best Technical Paper.- Combining Task Execution and Background Knowledge for the Verification of Medical Guidelines.- Al Techniques (GAs, Bio-Motivated Computing and Bayes).- A Discrete Particle Swarm Optimization Algorithm for the Permutation Flowshop Sequencing Problem with Makespan Criterion.- Initialization Method for Grammar-Guided Genetic Programming.- Improving the Gradient Based Search Direction to Enhance Training Efficiency of Back Propagation Based Neural Network Algorithms.- A Decision Tree-Based Attribute Weighting Filter for Naive Bayes.- Graphical Reasoning with Bayesian Networks.- Knowledge Discovery in Data.- Ranked Multi-Label Rules Associative Classifier.- Two Different Approaches to Automated Mark Up of Emotions in Text.- Towards a Framework for Change Detection in Data Sets.- Incremental Inductive Learning in a Constructivist Agent.- Argumentation, Dialogue Games and Optimisation.- Argument Based Contract Enforcement.- Negotiating Intelligently.- Avoiding Long and Fruitless Dialogues in Critiquing.- LSA-based Landscape Analysis for Multicast Routing.- Knowledge Representation And Management.- Dependent Record Types for Dynamic Context Representation.- Adjusting game difficulty level through Formal Concept Analysis.- Ontology Constraint Satisfaction Problem using Conceptual Graphs.- Integrating Uncertain Knowledge in a Domain Ontology for Room Concept Classifications.- Semantic Web.- Using AI and Semantic Web Technologies to attack Process Complexity in Open Systems.- A Semantic Web Blackboard System.- Planning with the Semantic Web by fusing Ontologies and Planning Domain Definitions.- A Reusable Commitment Management Service using Semantic Web Technology.- Model Based Systems and Simulation.- On-Line Monitoring of Plan Execution: a Distributed Approach.- Incremental Fault Isolation for Dynamic Processes.- Qualitative Approaches to Semantic Scene Modelling and Retrieval.- A Platform for Simulating Language Evolution.- Short Papers.- Improving the Interpretability of Classification Rules in Sparse Bioinformatics Datasets.- An Agent-Based Approach to Non-Distributed and Distributed Clustering.- Transparency of Computational Intelligence Models.- Exploring Web Search Results Clustering.- Case-based Intention Selection for Autonomous Agent that Acts in Structured Synthetic Worlds.- On Clustering Attribute-oriented Induction.- Chinese Text Clustering for Topic Detection Based on Word Pattern Relation.- Text Classification using Language-independent Pre-processing.
