AI 2012: Advances in Artificial Intelligence

Classification Based on Particle Swarm Optimisation and Rough Set Theory.- Evolving Plastic Neural Networks for Online Learning: Review and Future Directions.- A Multimodal Problem for Competitive Coevolution.- XCSR with Computed Continuous Action .- A Memetic Algorithm for Efficient Solution of 2D and 3D Shape Matching Problems.- Local Search in Parallel Linear Genetic Programming for Multiclass Classification.- Game Playing.- Opponent's Style Modeling Based on Situations for Bayesian Poker.- Game Designers Training First Person Shooter Bots.- Games with Ambiguous Payoffs and Played by Ambiguity and Regret Minimising Players.- Information Retrieval Query Expansion Powered by Wikipedia Hyperlinks.- Constrained Grouped Sparsity.- Reverse Active Learning for Optimising Information Extraction Training Production.- Adopting Relevance Feature to Learn Personalized Ontologies.- Towards Domain Independent Why Text Segment Classification Based on Bag of Function Words.- Knowledge Representation A Delayed Splitting Bottom-Up Procedure for Model Generation.- A Goal-Oriented Algorithm for Unification in ELHR+ w.r.t. Cycle-Restricted Ontologies.- Normal Modal Preferential Consequence.- Trust in Context.- Complex Analogies: Remarks on the Complexity of HDTP.- A General Representation and Approximate Inference Algorithm for Sensing Actions.- Systematicity, Accessibility, and Universal Properties.- RDL: Enhancing Description Logic with Rules.- Machine Learning Approximate Document Outlier Detection Using Random Spectral Projection.- Exploration / Exploitation Trade-Off in Mobile Context-Aware Recommender Systems.- Simultaneous Interval Regression for K-Nearest Neighbor.- Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support.- An Empirical Comparison of Two Common Multiobjective Reinforcement Learning Algorithms.- A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification.- An Efficient Adversarial LearningStrategy for Constructing Robust Classification Boundaries.- Signal Selection for Sleep Apnea Classification.- Minimum Message Length Inference and Mixture Modelling of Inverse Gaussian Distributions.- A Probabilistic Least Squares Approach to Ordinal Regression.- Bagging Ensemble Selection for Regression.- Fixed Frame Temporal Pooling.- DIKEA: Domain-Independent Keyphrase Extraction Algorithm .- Evolving Event Detectors in Multi-channel Sensor Data.- Improving Classification Accuracy on Uncertain Data by Considering Multiple Subclasses.- Planning and Scheduling.- Hierarchical Multi-agent Distribution Planning.- Generating Project Plans for Data Center Transformations.- Planning with Action Prioritization and New Benchmarks for Classical Planning .- Efficient Solution of Capacitated Arc Routing Problems with a Limited Computational Budget.- Block-Structured Plan Deordering.- Ride-Sharing: A Multi Source-Destination Path Planning Approach.- Robotics.- A Novel Approach to Ball Detection for Humanoid Robot Soccer.- Analysis of Cluster Formation Techniques for Multi-robot Task Allocation Using Sequential Single-Cluster Auctions.- On-Line Model-Based Continuous State Reinforcement Learning Using Background Knowledge.- Uncertainty in AI.- A Novel D-S Theory Based AHP Decision Apparatus under Subjective Factor Disturbances.- MML Logistic Regression with Translation and Rotation Invariant Priors.- Probabilistic Model-Based Assessment of Information Quality in Uncertain Domains.- Causal Discovery of Dynamic Bayesian Networks.