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Interactive Collaborative Information Systems
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Table of Contents

Reinforcement Learning.- Approximate Dynamic Programming and Reinforcement Learning.- Learning with Whom to Communicate Using Relational Reinforcement Learning.- Switching between Representations in Reinforcement Learning.- Collaborative Decision Making.- A Decision-Theoretic Approach to Collaboration: Principal Description Methods and Efficient Heuristic Approximations.- Efficient Methods for Near-Optimal Sequential Decision Making under Uncertainty.- Ant Colony Learning Algorithm for Optimal Control.- Map-Based Support for Effective Collaboration in Micro-mobile Virtual Teams.- Computer-Human Interaction Modeling.- Affective Dialogue Management Using Factored POMDPs.- Context-Aware Multimodal Human-Computer Interaction.- Design Issues for Pen-Centric Interactive Maps.- Interacting with Adaptive Systems.- Example-Based Human Pose Recovery under Predicted Partial Occlusions.- Architectures for Distributed Agent-Actor Communities.- Agility and Adaptive Autonomy in Networked Organizations.- Adaptive Hierarchical Multi-agent Organizations.- Method for Designing Networking Adaptive Interactive Hybrid Systems.- Case Studies and Applications.- A Call for Sensemaking Support Systems in Crisis Management.- A Distributed Approach to Gas Detection and Source Localization Using Heterogeneous Information.- Traffic Light Control by Multiagent Reinforcement Learning Systems.- Fusing Heterogeneous and Unreliable Data from Traffic Sensors.- Bayesian Networks for Expert Systems: Theory and Practical Applications.

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