
Agents and Artificial Intelligence
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This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Agents and Artificial Intelligence, ICAART 2014, held in Angers, France, in March 2014.
The 21 revised full papers presented together with one invited paper were carefully reviewed and selected from 225 submissions. The papers are organized in two topical sections on agents and on artificial intelligence.
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Content
- Intro
- Preface
- Organization
- Contents
- Invited Paper
- The New Era of High-Functionality Interfaces
- Abstract
- 1 High-Functionality (Hi-Fun) Interfaces
- 2 User Interface Design for High Functionality Interfaces
- 3 The Present and Future of Goal-Oriented Interfaces
- 4 High-Functionality Interaction is End-User Programming
- 5 Learning High-Functionality Interfaces
- 6 Testing High-Functionality Interfaces
- 7 Conclusion
- References
- Agents
- Performance of Communicating Cognitive Agents in Cooperative Robot Teams
- 1 Introduction
- 2 Related Work
- 3 Multi-robot Search and Retrieval
- 3.1 Search and Retrieval Tasks
- 3.2 The Blocks World for Teams Simulator
- 4 Coordination Protocols
- 4.1 Baseline: No Communication
- 4.2 Communicating Robot Teams
- 5 Experimental Design
- 5.1 Data Collection
- 5.2 Experimental Setup
- 6 Results
- 6.1 Baseline Performance
- 6.2 Speedup with Multiple Robots
- 6.3 Communication Performance
- 7 Conclusions
- References
- Agent-Based Simulation of Interconnected Wholesale Electricity Markets: An Application to the German and French Market Area
- 1 Introduction
- 2 Models for Electricity Markets
- 3 PowerACE Model
- 3.1 Model Overview
- 3.2 Short-Term Bidding on Electricity Markets
- 3.3 Coupling of Interconnected Markets
- 3.4 Long-Term Investment Planning
- 3.5 Input Data and Technical Implementation
- 4 Exemplary Applications
- 4.1 Market Coupling Between Germany and France
- 4.2 PowerACE LAB
- 5 Conclusions and Outlook
- References
- Cooperative Transportation Using Pheromone Agents
- 1 Introduction
- 2 Backgrounds
- 3 Transport Model
- 3.1 Robots
- 3.2 Ant Agent
- 3.3 Pheromone Agent (PA)
- 4 Experimental Results
- 5 Discussions
- 6 Conclusions
- References
- Design and Simulation of a Low-Resource Processing Platform for Mobile Multi-agent Systems in Distributed Heterogeneous Networks
- 1 Introduction
- 2 Programming State-Based Mobile Agents
- 3 Agent Platform Architecture and Synthesis
- 3.1 The RPCSP Agent Platform
- 3.2 Software Platform
- 3.3 Simulation Platform
- 3.4 Synthesis
- 4 Platform Simulation
- 5 Conclusions
- References
- Behavior Clustering and Explicitation for the Study of Agents' Credibility: Application to a Virtual Driver Simulation
- 1 Introduction
- 2 State of the Art
- 2.1 Levels of Behavior
- 2.2 Subjective Approach
- 2.3 Objective Approach
- 3 Objective and Approach
- 3.1 General Approach
- 3.2 Case Study
- 4 Data Processing Method
- 4.1 Clustering of Main Actors Categories
- 4.2 Clustering of Behaviors
- 4.3 Clusterings Comparison
- 5 Experimentation
- 5.1 Results
- 5.2 Discussion
- 6 Conclusion and Perspectives
- References
- Artificial Intelligence
- Knowledge Gradient for Online Reinforcement Learning
- 1 Introduction
- 2 Preliminaries
- 2.1 Markov Decision Process
- 2.2 Least Squares Policy Iteration
- 2.3 KG Exploration Policy
- 2.4 Kernel-Based LSPI
- 2.5 Approximate Linear Dependency
- 3 Online Kernel-Based LSPI
- 4 Experiments
- 4.1 Test Domain/Experimental Setup
- 4.2 Experimental Results
- 4.3 Statistical Methodology
- 5 Conclusions and Future Work
- References
- Statistical Response Method and Learning Data Acquisition using Gamified Crowdsourcing for a Non-task-oriented Dialogue Agent
- 1 Introduction
- 2 Statistical Response Method
- 2.1 Selection of Candidate Utterances
- 2.2 Ranking Candidate Utterances
- 2.3 Parameter Estimation
- 3 Data Acquisition
- 3.1 Crowdsourcing
- 3.2 Confidence Estimation
- 3.3 Gamification
- 3.4 Gamified Data Acquisition Environment
- 3.5 Candidate Utterance Acquisition
- 4 Experiments
- 4.1 Experimental Methodology
- 4.2 Features
- 4.3 Data Set
- 4.4 Results
- 4.5 Discussion
- 5 Conclusions
- References
- A Method for Binarization of Document Images from a Live Camera Stream
- 1 Introduction
- 2 Method
- 2.1 Training a Binarizer
- 2.2 Using a Binarizer
- 3 Results
- 4 Discussion and Conclusion
- References
- A Probabilistic Semantics for Cognitive Maps
- 1 Introduction
- 2 State of the Art
- 2.1 Cognitive Maps
- 2.2 Bayesian Networks
- 2.3 Causal Bayesian Networks
- 3 The Probabilistic Cognitive Map Model
- 3.1 Semantics of the Concepts
- 3.2 Semantics of the Influences
- 4 Probabilistic Propagated Influence
- 5 Relations with the Bayesian Network Model
- 5.1 Encoding a Cognitive Map as a Bayesian Network
- 5.2 Relation Between the Probabilistic Propagated Influence and a Conditional Probability
- 6 System
- 7 Conclusions
- References
- New Techniques for Checking Dynamic Controllability of Simple Temporal Networks with Uncertainty
- 1 Introduction
- 2 Background
- 2.1 Simple Temporal Networks
- 2.2 Simple Temporal Networks with Uncertainty
- 2.3 Morris' O(N4)-time DC-checking Algorithm
- 3 Speedy: Speeding Up Full DC Checking
- 4 Inky: Speeding up Incremental DC Checking
- 5 Conclusions
- References
- Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension
- 1 Introduction
- 2 Description of the Proposed Method
- 2.1 How to Modify the Structure of the Network
- 2.2 When to Change the Structure of the Network
- 3 Experimental Results
- 3.1 Stationary Contexts
- 3.2 Dynamic Environments
- 4 Discussion
- 5 Conclusions and Future Work
- References
- Towards the Identification of Outliers in Satellite Telemetry Data by Using Fourier Coefficients
- 1 Introduction
- 2 Conventional Approaches to Outlier Detection by Satellite Operator Engineers
- 3 Proposed Outlier Identification System
- 3.1 Pattern Comparison
- 3.2 Pattern Reconsolidation
- 3.3 Pattern Functional Units
- 3.4 Inner Class Comparison for Novelty Detection
- 3.5 Definition of the Characteristics Chart
- 4 Experimental Validation
- 5 Conclusions
- References
- A Probabilistic Approach to Represent Emotions Intensity into BDI Agents
- 1 Introduction
- 2 The OCC Model
- 3 Related Work
- 4 Hybrid BDN+BDI Model
- 4.1 BDI Agents
- 4.2 Bayesian Decision Networks
- 4.3 The AgentSpeak(PL) Language
- 5 The Appraisal for Joy and Fear Emotions
- 6 A Test Scenario
- 6.1 A BDN Model for Desirabilitiy and Likelihood
- 6.2 AgentSpeak(PL) Implementation of the Appraisal Process
- 6.3 First Reasoning Cycle
- 6.4 Second Reasoning Cycle
- 7 Conclusions
- References
- Revisiting Classical Dynamic Controllability: A Tighter Complexity Analysis
- 1 Background
- 2 Temporal Problems
- 3 The MMV Algorithm
- 4 The FastIDC Algorithm
- 5 Comparing FastIDC/MMV
- 6 Focus Propagation
- 7 GlobalDC
- 8 A Revised MMV Algorithm
- 9 Related and Future Work
- 10 Conclusion
- References
- ReCon: An Online Task ReConfiguration Approach for Robust Plan Execution
- 1 Introduction
- 2 Motivating Example
- 3 Modeling Rover's Actions
- 4 ReCon: Adaptive Plan Execution
- 4.1 The Continual Planning Loop
- 4.2 Update
- 4.3 Adapt
- 5 Running the Mission Rover Example
- 6 Experimental Validation
- 7 Conclusions
- References
- Combining Semantic Query Disambiguation and Expansion to Improve Intelligent Information Retrieval
- Abstract
- 1 Introduction
- 2 Related Works
- 2.1 Semantic Query Disambiguation in IR
- 2.2 Semantic Query Expansion in IR
- 2.3 Combining SQD and SQE in IR
- 3 Model Architecture and Knowledge Representation
- 4 Possibilistic and Probabilistic Approaches for Combined SQD and SQE
- 4.1 A Possibilistic Approach for SQD and SQE
- 4.2 A Probabilistic Approach Using Circuit-Based Measure for SQD and SQE
- 4.3 Illustrative Example
- 5 Experimental Results
- 5.1 Experimental Settings
- 5.2 Evaluating SQD and SQE
- 6 Discussion and Future Works
- Acknowledgements
- References
- Full-Reference Predictive Modeling of Subjective Image Quality Assessment with ANFIS
- 1 Introduction
- 2 ANFIS Background
- 3 Related Work
- 4 Proposed Approach for Quality Assessment
- 4.1 Peak Signal-to-Noise Ratio (PSNR)
- 4.2 Universal Quality Index (UQI)
- 4.3 Mean Structural Similarity Index (MSSIM)
- 4.4 Weighted Signal-to-Noise Ratio (WSNR)
- 4.5 Visual Information Fidelity (VIF)
- 4.6 Noise Quality Measure (NQM)
- 4.7 Information Fidelity Criterion(IFC)
- 5 Evaluation
- 6 Conclusion
- References
- A Heuristic Automatic Clustering Method Based on Hierarchical Clustering
- 1 Introduction
- 2 Related Works
- 2.1 Types of Clustering
- 2.2 Validation Methods
- 3 Proposed Method
- 3.1 Splitting
- 3.2 Merging
- 4 Results
- 4.1 Data Sets
- 4.2 Clustering Results
- 5 Conclusion
- References
- Robust Signature Discovery for Affymetrix GeneChip"472 Cancer Classification
- 1 Introduction
- 2 Preliminaries
- 2.1 Domain Description
- 2.2 Information Theory Basics
- 2.3 Feature Relevance
- 2.4 Feature vs Feature Pair
- 3 iRDA -- A Framework for Finding Gene Signatures
- 4 Experimental Results
- 5 Conclusions
- References
- Influence of the Interest Operators in the Detection of Spontaneous Reactions to the Sound
- 1 Introduction
- 2 Methodology
- 3 Experimental Results
- 3.1 Classifier Selection
- 3.2 Adjustment of Parameters
- 3.3 Final Evaluation of the Results
- 3.4 Classification by Classes
- 4 Conclusions
- References
- Confidence Measure for Experimental Automatic Face Recognition System
- 1 Introduction
- 2 Related Work
- 2.1 Face Recognition
- 2.2 Confidence Measure
- 2.3 Face Recognition Systems
- 3 Confidence Measure for Face Recognition System
- 3.1 Face Recognition
- 3.2 Confidence Measure
- 4 System Description
- 5 Experiments
- 5.1 Czech News Agency Corpus
- 5.2 Recognition Results with Confidence Measure
- 6 Conclusions and Perspectives
- References
- Author Index
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