Artificial Intelligence: Methodology, Systems, and Applications: 10th International Conference, AIMSA 2002, Varna, Bulgaria, September 4-6, 2002. ProceedingsDonia R. Scott The AIMSA conference series was ?rst conceived in 1984 as a gathering of AI researchersandstudentsfromEasternandCentralEurope.Sincethenthecon- rence has followed a biennial schedule of meetings in Bulgaria, attracting parti- pantsfromawidergeographicalarea.Today,20yearson, AIMSAisathoroughly international conference, with contributions from most European countries and some from as far a?eld as the United States, Mexico and Brazil. The AIMSA organizers are delighted to present you with another exciting program, coveringmostareasofArti?cialIntelligence.Inkeepingwithitsm- sion to inform the research community and excite the commercial sector, AIMSA presents this year two invited contributions from world-leading European rese- chersworkingoncutting-edgeAIresearch: Prof.CaroleGoble, ontheSemantic Web, andProf.DavidHouse, onintegratedspeechandgesturalsynthesis.In addition, we present 26 contributions on topics covering almost all aspects of AIandbringingtogetherbasicandappliedresearch.Oneofthese, byMilos Kova? cevi ́ c and his colleagues on "Recognition of Common Areas in a Web Page Using a Visualisation Approach" was judged by reviewers to be the best s- mitted paper, and duly received the accolade of "Best Paper" of the Conference, with a special slot devoted to it in the program. As Chair of the Program Committee, I am extremely grateful to those who so generously agreed to apply their expertise and valuable time to reviewing papers for the conference, and for their dedication in getting the best possible job done in what turned out to be a very short period of time. |
Contents
Improving Information Flow in Dialogue Systems Using 3D Talking Heads | 1 |
Efficient Relational Learning from Sparse Data | 11 |
Efficient Instance Retraction | 21 |
Learning Patterns in Multidimensional Space Using Interval Algebra | 31 |
A Machine Learning Approach to Automatic Production of Compiler Heuristics | 41 |
Using Failed Local Search for SAT as an Oracle for Tackling Harder AI Problems More Efficiently | 51 |
A Heuristic for Planning Based on Action Evaluation | 61 |
WebBased Haskell Adaptive Tutor | 71 |
Bulgarian Noun Definite Article in DATR | 152 |
A Methodology to Solve Optimisation Problems with MAS Application to the Graph Colouring Problem | 162 |
An Open Modular Ontology Based Autonomous Robotic Agent Architecture | 173 |
A Replanning Algorithm for a Reactive Agent Architecture | 183 |
A Broker Approach for Multiagent Scheduling | 193 |
Recognition of Common Areas in a Web Page Using a Visualization Approach | 203 |
A Neural Approach to Abductive Multiadjoint Reasoning | 213 |
Restricted Trees in MultipleValued Logics | 223 |
Decomposing and Distributing Configuration Problems | 81 |
Direct Adaptive Neural Control with IntegralPlusState Action | 91 |
ILP Techniques for FreeText Input Processing | 101 |
A DempsterShafer Approach to Physical Database Design | 111 |
An Integrated Architecture for Supporting the Author in Generation and Resource Editing | 122 |
Optimistic vs Pessimistic Interpretation of Linguistic Negation | 132 |
Left Corner Parser for Tree Insertion Grammars | 142 |
Knowledge Management in Expert System Creator | 233 |
Towards Semantic GoalDirected Forward Reasoning in Resolution | 243 |
Do What We Do to Find What You Want | 253 |
Adapting a Robust Multigenre NE System for Automatic Content Extraction | 264 |
A Killer App for AI? | 274 |
279 | |
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Common terms and phrases
A-trees abductive reasoning Abstract action adaptive adjunction agent AIMSA algorithm application approach architecture Artificial Intelligence assumption attribute Berlin Heidelberg 2002 broker Btree clauses complex components Computer concept language configuration constraints database DATR deallocation decision table decision trees defined definite form documents domain Earley evaluation example Expert System framework function G(I+ gender given graph graph colouring heuristics hyperrectangles IBMBS implementation input instance interval knowledge knowledge representation lattice linguistic negation LNAI logic programming loop unrolling machine learning maximal module morphemes multi-adjoint neural node Noun nuanced object OCOA ok ok ontology optimization output parser partonomic performance physical schemas problem refinement relation replanning representation represented rules Section semantic Semantic Web signed formulas solve specific structure subset talking head theorem topic values vector version space VS(I+