Advances in Artificial Intelligence

Agents.- Integrating Information Gathering Interaction into Transfer of Control Strategies in Adjustable Autonomy Multiagent Systems.- A Pruning-Based Algorithm for Computing Optimal Coalition Structures in Linear Production Domains.- A Smart Home Agent for Plan Recognition.- Using Multiagent Systems to Improve Real-Time Map Generation.- An Efficient Resource Allocation Approach in Real-Time Stochastic Environment.- Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games.- How Artificial Intelligent Agents Do Shopping in a Virtual Mall: A ‘Believable’ and ‘Usable’ Multiagent-Based Simulation of Customers’ Shopping Behavior in a Mall.- Bioinformatics.- A New Profile Alignment Method for Clustering Gene Expression Data.- A Classification-Based Glioma Diffusion Model Using MRI Data.- Bayesian Learning for Feed-Forward Neural Network with Application to Proteomic Data: The Glycosylation Sites Detection of the Epidermal Growth Factor-Like Proteins Associated with Cancer as a Case Study.- Constraint Satisfaction and Search.- Relaxation of Soft Constraints Via a Unified Semiring.- Intelligent Information Personalization Leveraging Constraint Satisfaction and Association Rule Methods.- On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT.- Simple Support-Based Distributed Search.- Knowledge Representation and Reasoning.- Modeling Causal Reinforcement and Undermining with Noisy-AND Trees.- An Improved LAZY-AR Approach to Bayesian Network Inference.- Four-Valued Semantics for Default Logic.- Exploiting Dynamic Independence in a Static Conditioning Graph.- Probabilistic Melodic Harmonization.- Learning Bayesian Networks in Semi-deterministic Systems.- Progressive Defeat Paths in Abstract Argumentation Frameworks.- Natural Language.- Parsing Korean Honorification Phenomena in a Typed Feature Structure Grammar.- Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity.- Unsupervised Labeling of Noun Clusters.- Language Patterns in the Learning of Strategies from Negotiation Texts.- Using Natural Language Processing to Assist the Visually Handicapped in Writing Compositions.- Text Compression by Syntactic Pruning.- Beyond the Bag of Words: A Text Representation for Sentence Selection.- Sentiment Tagging of Adjectives at the Meaning Level.- Reinforcement Learning.- Adaptive Fraud Detection Using Benford’s Law.- Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem.- Trace Equivalence Characterization Through Reinforcement Learning.- Belief Selection in Point-Based Planning Algorithms for POMDPs.- Supervised and Unsupervised Learning.- Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization.- Adaptive Clustering Algorithms.- Classification Based on Logical Concept Analysis.- Machine Learning in a Quantum World.- A New Attempt to Silhouette-Based Gait Recognition for Human Identification.- Learning Naïve Bayes Tree for Conditional Probability Estimation.- On the Performance of Chernoff-Distance-Based Linear Dimensionality Reduction Techniques.- Discriminative vs. Generative Classifiers for Cost Sensitive Learning.- The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization.- Learning Naive Bayes for Probability Estimation by Feature Selection.- Lazy Averaged One-Dependence Estimators.- Probabilistic Inference Trees for Classification and Ranking.- Parameter Estimation of One-Class SVM on Imbalance Text Classification.- User Modeling.- MITS: A Mixed-Initiative Intelligent Tutoring System for Sudoku.