PRICAI'98: Topics in Artificial Intelligence

Repechage bootstrap aggregating for misclassification cost reduction.- Generating classifier committees by stochastically selecting both attributes and training examples.- Multi-layer incremental induction.- An adaptive agent oriented software architecture.- An architecture for multi-agent negotiation using private preferences in a meeting scheduler.- Towards agent-oriented smart office based on concurrent logic languages.- Analyzing the roles of problem solving and learning in organizational-learning oriented classifier system.- Simultaneous modelling and knowledge acquisition using NRDR.- Model building and program specification in a case of enterprise design.- On the practicality of viewpoint-based requirements engineering.- Reasoning without minimality.- Reasoning with sets of preferences in default logic.- Frugality in reasoning and the role of summary.- Data mining for risk analysis and targeted marketing.- Applying knowledge discovery to predict infectious disease epidemics.- Using decision tree induction for discovering holes in data.- DODDLE: A domain ontology rapid development environment.- CAMLET: A platform for automatic composition of inductive learning systems using ontologies.- Management of worker’s experiences: A knowledge-based approach.- The minimum description length based decision tree pruning.- Hybrid search of feature subsets.- Concurrent discretization of multiple attributes.- The integration of machine and human knowledge by fuzzy logic for the prediction of stock price index.- Computational intelligence techniques for short term generation scheduling in a hybrid energy system.- Fuzzy rules extraction based-integration of linguistic and numerical information for hybrid intelligent systems.- Reasoning about continuous change.- Point-based approaches to qualitative temporal reasoning.- An experimental study of reasoning with sequences of point events.- A mixture of global and local gated experts for the prediction of high frequency foreign exchange rates.- A neural network diagnosis model without disorder independence assumption.- Neural network based motion control and applications to non-holonomic mobile manipulators.- A geometric approach to anytime constraint solving for TCSPs.- Dynamic constraint weighting for over-constrained problems.- Time-constrained heuristic search for practical route finding.- Using mutual information to determine relevance in Bayesian networks.- Context-specific independence, decomposition of conditional probabilities, and inference in Bayesian networks.- Derivational grammar approach to morphological analysis of Japanese sentences.- An automatic Thai lexical acquisition from text.- Knowledge representation issues in information extraction.- Structuralization of case-bases, using concept hierarchy.- A closer look at preduction.- Learning linearly-moded programs from entailment.- Learning first-order rules from image applied to glaucoma diagnosis.- Knowledge-based formulation of dynamic decision models.- An intelligent job counseling system.- The layout problem: Investigation and aggregation of artificial intelligence and optimization techniques.- Logical fiction: Real vs. ideal.- Coherence measure based on average use of formulas.- A decision-theoretic approach for pre-sending information on the WWW.- Dynamic non-uniform abstractions for approximate planning in large structured stochastic domains.- A characterization of contrastive explanations computation.- SL method for computing a near-optimal solution using linear and non-linear programming in cost-based hypothetical reasoning.- Image retrieval system using KANSEI features.- A robust front-end for telephone speech recognition.