Agents -- Dynamic Maps in Monte Carlo Localization -- Handling Over-Constrained Problems in Distributed Multi-agent Systems -- Performance Evaluation of an Agent Based Distributed Data Mining System -- Adjusting the Autonomy of Collections of Agents in Multiagent Systems -- ARES 2: A Tool for Evaluating Cooperative and Competitive Multi-agent Systems -- Multiagent Systems Viewed as Distributed Scheduling Systems: Methodology and Experiments -- Planning for a Mobile Robot to Attend a Conference -- Constraint Satisfaction and Search -- A Decision Theoretic Meta-reasoner for Constraint Optimization -- Heuristic Search Applied to Abstract Combat Games -- Modelling an Academic Curriculum Plan as a Mixed-Initiative Constraint Satisfaction Problem -- SWAMI: Searching the Web Using Agents with Mobility and Intelligence -- Queuing Local Solutions in Distributed Constraint Satisfaction Systems -- Data Mining -- A Bayesian Model to Smooth Telepointer Jitter -- A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets -- A Markov Model for Inventory Level Optimization in Supply-Chain Management -- Analysis and Classification of Strategies in Electronic Negotiations -- Fast Protein Superfamily Classification Using Principal Component Null Space Analysis -- First Steps Towards Incremental Diagnosis of Discrete-Event Systems -- Integrating Web Content Clustering into Web Log Association Rule Mining -- Privacy Compliance Enforcement in Email -- Towards an Ontology-Based Spatial Clustering Framework -- Moving Target Prediction Using Evolutionary Algorithms -- Multi Class Adult Image Classification Using Neural Networks -- Probability and Equality: A Probabilistic Model of Identity Uncertainty -- Knowledge Representation and Reasoning -- A Logic of Inductive Implication or Artificial Intelligence Meets Philosophy of Science II -- Knowledge Distribution in Large Organizations Using Defeasible Logic Programming -- On the Role of the Markov Condition in Causal Reasoning -- Machine Learning -- The Impact of Feature Extraction on the Performance of a Classifier: kNN, Naïve Bayes and C4.5 -- Instance Cloning Local Naive Bayes -- Comparing Dimension Reduction Techniques for Document Clustering -- Incorporating Evidence in Bayesian Networks with the Select Operator -- Quick Spatial Outliers Detecting with Random Sampling -- Natural Language -- A Document Browsing Tool: Using Lexical Classes to Convey Information -- A Supervised Learning Approach to Acronym Identification -- Adjectives: A Uniform Semantic Approach -- Automatic Acquisition of Gender Information for Anaphora Resolution -- Automatic Identification of Parallel Documents With Light or Without Linguistic Resources -- Inductive Improvement of Part-of-Speech Tagging and Its Effect on a Terminology of Molecular Biology -- Vocabulary Completion Through Word Cooccurrence Analysis Using Unlabeled Documents for Text Categorization -- Voting Between Multiple Data Representations for Text Chunking -- A Novel Use of VXML to Construct a Speech Browser for a Public-Domain SpeechWeb -- Arabic Speech Synthesis Using a Concatenation of Polyphones: The Results -- English to Chinese Translation of Prepositions -- Generating Adaptive Multimedia Presentations Based on a Semiotic Framework -- Producing Headline Summaries for Newspaper Articles -- Regularized Classifiers for Information Retrieval -- Rethinking Language Models Within the Framework of Dynamic Bayesian Networks -- Reinforcement Learning -- Error Bounds in Reinforcement Learning Policy Evaluation -- Real-Time Decision Making for Large POMDPs.

This book constitutes the refereed proceedings of the 18th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2005, held in Victoria, Canada in May 2005. The revised full papers and 19 revised short papers presented were carefully reviewed and selected from 135 submission. The papers are organized in topical sections on agents, constraint satisfaction and search, data mining, knowledge representation and reasoning, machine learning, natural language processing, and reinforcement learning.