Agents and Artificial Intelligence

Name: Agents and Artificial Intelligence | 6th International Conference, ICAART 2014, Angers, France, March 6-8, 2014, Revised Selected Papers
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6th International Conference, ICAART 2014, Angers, France, March 6-8, 2014, Revised Selected Papers

Béatrice Duval Jaap van den Herik Stephane Loiseau Joaquim Filipe(Editor)

Springer (Publisher)

Published on 24. September 2015

XIX, 379 pages

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978-3-319-25210-0 (ISBN)

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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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Agents and Artificial Intelligence

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