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Computer Science - Artificial Intelligence | Advances in Artificial Intelligence - 16th Conference of the Canadian Society for Computational

Advances in Artificial Intelligence

16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, Halifax, Canada, June 11-13, 2003, Proceedings

Xiang, Yang, Brahim, Chaib-draa (Eds.)

2003, XIV, 642 p.

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This book constitutes the refereed proceedings of the 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, held in Halifax, Canada in June 2003.

The 30 revised full papers and 24 revised short papers presented were carefully reviewed and selected from 106 submissions. The papers are organized in topical sections on knowledge representation, search, constraint satisfaction, machine learning and data mining, AI and Web applications, reasoning under uncertainty, agents and multi-agent systems, AI and bioinformatics, and AI and e-commerce.

 

Content Level » Research

Keywords » Constraint Satisfaction - artificial intelligence - bioinformatics - data mining - intelligence - knowledge representation - learning - machine learning - multi-agent system - uncertainty

Related subjects » Artificial Intelligence

Table of contents 

Experiences Building a Distributed Sensor Network.- Artificial Intelligence and Human Brain Imaging.- Machine Learning Methods for Computational Proteomics and Beyond.- The Structure Model Interpretation of Wright’s NESS Test.- Answer Formulation for Question-Answering.- Patttern-Based AI Scripting Using ScriptEase.- Enumerating the Preconditions of Agent Message Types.- Monadic Memoization towards Correctness-Preserving Reduction of Search.- Searching Solutions in the Crypto-arithmetic Problems: An Adaptive Parallel Genetic Algorithm Approach.- Stochastic Local Search for Multiprocessor Scheduling for Minimum Total Tardiness.- A Graph Based Backtracking Algorithm for Solving General CSPs.- Iterated Robust Tabu Search for MAX-SAT.- Scaling and Probabilistic Smoothing: Dynamic Local Search for Unweighted MAX-SAT.- A Comparison of Consistency Propagation Algorithms in Constraint Optimization.- Discovering Temporal/Causal Rules: A Comparison of Methods.- Selective Transfer of Task Knowledge Using Stochastic Noise.- Efficient Mining of Indirect Associations Using HI-Mine.- Case Authoring from Text and Historical Experiences.- Session Boundary Detection for Association Rule Learning Using n-Gram Language Models.- Negotiating Exchanges of Private Information for Web Service Eligibility.- Post-supervised Template Induction for Dynamic Web Sources.- Summarizing Web Sites Automatically.- Cycle-Cutset Sampling for Bayesian Networks.- Learning First-Order Bayesian Networks.- AUC: A Better Measure than Accuracy in Comparing Learning Algorithms.- Model-Based Least-Squares Policy Evaluation.- DIAGAL: A Tool for Analyzing and Modelling Commitment-Based Dialogues between Agents.- Situation Event Logic for Early Validation of Multi-Agent Systems.- Understanding “Not-Understood”: Towards an Ontology of Error Conditions for Agent Communication.- An Improved Ant Colony Optimisation Algorithm for the 2D HP Protein Folding Problem.- Hybrid Randomised Neighbourhoods Improve Stochastic Local Search for DNA Code Design.- A Strategy for Improved Satisfaction of Selling Software Agents in E-Commerce.- Pre-negotiations over Services — A Framework for Evaluation.- Formal Theory for Describing Action Concepts in Terminological Knowledge Bases.- Improving User-Perceived QoS in Mobile Ad Hoc Networks Using Decision Rules Induction.- Risk Neutral Calibration of Classifiers.- Search Bound Strategies for Rule Mining by Iterative Deepening.- Methods for Mining Frequent Sequential Patterns.- Learning by Discovering Conflicts.- Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations.- Feature Selection Strategies for Text Categorization.- Learning General Graphplan Memos through Static Domain Analysis.- Classification Automaton and Its Construction Using Learning.- A Genetic K-means Clustering Algorithm Applied to Gene Expression Data.- Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms.- Motion Recognition from Video Sequences.- Noun Sense Disambiguation with WordNet for Software Design Retrieval.- Not as Easy as It Seems: Automating the Construction of Lexical Chains Using Roget’s Thesaurus.- The Importance of Fine-Grained Cue Phrases in Scientific Citations.- Fuzzy C-Means Clustering of Web Users for Educational Sites.- Re-using Web Information for Building Flexible Domain Knowledge.- A New Inference Axiom for Probabilistic Conditional Independence.- Probabilistic Reasoning for Meal Planning in Intelligent Fridges.- Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach.- Fundamental Issue of Naive Bayes.- The Virtual Driving Instructor Creating Awareness in a Multiagent System.- Multi-attribute Exchange Market: Theory and Experiments.- Agent-Based Online Trading System.- On the Applicability of L-systems and Iterated Function Systems for Grammatical Synthesis of 3D Models.- An Unsupervised Clustering Algorithm for Intrusion Detection.- Dueling CSP Representations: Local Search in the Primal versus Dual Constraint Graph.- A Quick Look at Methods for Mining Long Subsequences.- Back to the Future: Changing the Direction of Time to Discover Causality.- Learning Coordination in RoboCupRescue.- Accent Classification Using Support Vector Machine and Hidden Markov Model.- A Neural Network Based Approach to the Artificial Aging of Facial Images.- Adaptive Negotiation for Agent Based Distributed Manufacturing Scheduling.- Multi-agent System Architecture for Tracking Moving Objects.

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