Advances in Artificial Intelligence

Sokoban: Evaluating standard single-agent search techniques in the presence of deadlock.- A heuristic incremental modeling approach to course timetabling.- Planning strategy representation in DoLittle.- Establishing logical connectivity between query keywords and database contents.- Test-driving tanka: Evaluating a semi-automatic system of text analysis for knowledge acquisition.- An object indexing methodology as support to object recognition.- Oracles and assistants: Machine learning applied to network supervision.- A common multi-agent testbed for diverse seamless personal information networking applications.- A hybrid genetic algorithm for the vehicle routing problem with time windows.- Maintaining genetic diversity in genetic algorithms through co-evolution.- The effect of genetic operator probabilities and selection strategies on the performance of a genetic algorithm.- The impact of external dependency in genetic programming primitives.- Quality control in the concept learning process.- Grapheme generation in learning to read english words.- A trainable bracketer for noun modifiers.- Lessons learned in the development and implementation of a bilingual nationally accessible knowledge-based system.- Selecting the next action with constraints.- Poker as a testbed for AI research.- Fault prediction in the telephone access loop using a neural network.- Learning english syllabification rules.- Characterizing tractable CSPs.- An attribute redundancy measure for clustering.- On the complexity of VLSI-friendly neural networks for classification problems.- String clustering and statistical validation of clusters.- Finding partitions for learning control of dynamic systems.- A relational modeling of cognitive maps.- Distance constraint arrays: A model for reasoning on intervals with qualitative and quantitative distances.- Revising Timegraph-II.- Temporally invariant junction tree for inference in dynamic bayesian network.- Utility theory-based user models for intelligent interface agents.- A hybrid convergent method for learning probabilistic networks.- Relational concepts and the fourier transform: An empirical study.- ELEM2: A learning system for more accurate classifications.- Sequential instance-based learning.- Predicate invention from a few examples.