Interactive Collaborative Information Systems

Chapter 1 Approximate Dynamic Programming and Reinforcement Learning

Chapter 2 Learning with Whom to Communicate Using Relational Reinforcement Learning

Chapter 3 Switching between Representations in Reinforcement Learning

Chapter 4 A Decision-Theoretic Approach to Collaboration: Principal Description Methods and Efficient Heuristic Approximations

Chapter 5 Efficient Methods for Near-Optimal Sequential Decision Making under Uncertainty

Chapter 6 Ant Colony Learning Algorithm for Optimal Control

Chapter 7 Map-Based Support for Effective Collaboration in Micro-mobile Virtual Teams

Chapter 8 Affective Dialogue Management Using Factored POMDPs

Chapter 9 Context-Aware Multimodal Human–Computer Interaction

Chapter 10 Design Issues for Pen-Centric Interactive Maps

Chapter 11 Interacting with Adaptive Systems

Chapter 12 Example-Based Human Pose Recovery under Predicted Partial Occlusions

Chapter 14 Adaptive Hierarchical Multi-agent Organizations

Chapter 15 Method for Designing Networking Adaptive Interactive Hybrid Systems

Chapter 16 A Call for Sensemaking Support Systems in Crisis Management

Chapter 17 A Distributed Approach to Gas Detection and Source Localization Using Heterogeneous Information

Chapter 18 Traffic Light Control by Multiagent Reinforcement Learning Systems

Chapter 19 Fusing Heterogeneous and Unreliable Data from Traffic Sensors

Chapter 20 Bayesian Networks for Expert Systems: Theory and Practical Applications