AI*IA 2011: Artificial Intelligence Around Man and Beyond

Table of Contents

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   Book Overview
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   Chapter 1 Foundations and New Paradigms of Brain Computing: Past, Present, and Future
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   Chapter 2 Robotics as the Hub of Various Research Areas
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   Chapter 3 Can We Design Artificial Pedagogical Agents to Be Intelligent Enough to Detect, Model, and Foster Regulatory Learning Processes?
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   Chapter 4 A Comparative Study of Thresholding Strategies in Progressive Filtering
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   Chapter 5 Semi-Supervised Multiclass Kernel Machines with Probabilistic Constraints
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   Chapter 6 Plugging Numeric Similarity in First-Order Logic Horn Clauses Comparison
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   Chapter 7 Learning to Tag Text from Rules and Examples
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   Chapter 8 Comparison of Dispersion Models by Using Fuzzy Similarity Relations
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    Chapter 9 An Interaction-Oriented Agent Framework for Open Environments
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    Chapter 10 Fuzzy Conformance Checking of Observed Behaviour with Expectations
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    Chapter 11 Dealing with Crowd Crystals in MAS-Based Crowd Simulation: A Proposal
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    Chapter 12 An Agent Model of Pedestrian and Group Dynamics: Experiments on Group Cohesion
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    Chapter 13 An Architecture with a Mobile Phone Interface for the Interaction of a Human with a Humanoid Robot Expressing Emotions and Personality
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    Chapter 14 Checking Safety of Neural Networks with SMT Solvers: A Comparative Evaluation
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    Chapter 15 A Dual Association Model for Acquisition and Extinction
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    Chapter 16 Intelligent Supervision for Robust Plan Execution
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    Chapter 17 A Tableau Calculus for a Nonmonotonic Extension of the Description Logic \(\mbox{\em DL-Lite}_{\mathit{core}}\)
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    Chapter 18 Monte-Carlo Style UCT Search for Boolean Satisfiability
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    Chapter 19 Exploiting Macro-actions and Predicting Plan Length in Planning as Satisfiability
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    Chapter 20 Clustering Web Search Results with Maximum Spanning Trees
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    Chapter 21 Interdisciplinary Contributions to Flame Modeling
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    Chapter 22 Latent Topic Models of Surface Syntactic Information
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    Chapter 23 Structured Learning for Semantic Role Labeling
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    Chapter 24 Cross-Language Information Filtering: Word Sense Disambiguation vs. Distributional Models
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    Chapter 25 Double-Sided Recommendations: A Novel Framework for Recommender Systems
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    Chapter 26 Intelligent Self-repairable Web Wrappers
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    Chapter 27 Synthesis of Collective Tag-Based Opinions in the Social Web
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    Chapter 28 Propagating User Interests in Ontology-Based User Model
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    Chapter 29 AI*IA 2011: Artificial Intelligence Around Man and Beyond
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    Chapter 30 An Application of Fuzzy Logic to Strategic Environmental Assessment
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    Chapter 31 Using Planning to Train Crisis Decision Makers
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    Chapter 32 Clustering and Classification Techniques for Blind Predictions of Reservoir Facies
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    Chapter 33 Multi-sensor Fusion through Adaptive Bayesian Networks
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    Chapter 34 Tackling the DREAM Challenge for Gene Regulatory Networks Reverse Engineering
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    Chapter 35 Full Extraction of Landmarks in Propositional Planning Tasks
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    Chapter 36 Rule-Based Creation of TimeML Documents from Dependency Trees
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    Chapter 37 Handling Partial Preferences in the Belief AHP Method: Application to Life Cycle Assessment
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    Chapter 38 Combining Description Logics and Typicality Effects in Formal Ontologies
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    Chapter 39 Italian Anaphoric Annotation with the Phrase Detectives Game-with-a-Purpose
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    Chapter 40 A New Possibilistic Clustering Method: The Possibilistic K-Modes
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    Chapter 41 Over-Subscription Planning with Boolean Optimization: An Assessment of State-of-the-Art Solutions
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    Chapter 42 Multi-platform Agent Systems with Dynamic Reputation Policy Management
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    Chapter 43 Integrating Built-in Sensors of an Android with Sensors Embedded in the Environment for Studying a More Natural Human-Robot Interaction
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    Chapter 44 Probabilistic Anomaly Detection for Wireless Sensor Networks
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    Chapter 45 From Natural Language Definitions to Knowledge Bases Axioms
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    Chapter 46 A Multimodal People Recognition System for an Intelligent Environment
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    Chapter 47 Instance-Based Classifiers to Discover the Gradient of Typicality in Data