Attention, intentions, and the structure of discourse
Computational Linguistics
Hierarchical task network planning: formalization, analysis, and implementation
Hierarchical task network planning: formalization, analysis, and implementation
An architecture for a generic dialogue shell
Natural Language Engineering
Information state and dialogue management in the TRINDI dialogue move engine toolkit
Natural Language Engineering
Tractable planning under uncertainty: exploiting structure
Tractable planning under uncertainty: exploiting structure
Multi-tasking and collaborative activities in dialogue systems
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
An architecture and applications for speech-based accessibility systems
IBM Systems Journal
The RavenClaw dialog management framework: Architecture and systems
Computer Speech and Language
The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management
Computer Speech and Language
Evaluation of a hierarchical reinforcement learning spoken dialogue system
Computer Speech and Language
A framework for building conversational agents based on a multi-expert model
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Hierarchical solution of Markov decision processes using macro-actions
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Coordinating multi-dimensional support in collaborative conversational agents
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
After dialog went pervasive: separating dialog behavior modeling and task modeling
SDCTD '12 NAACL-HLT Workshop on Future Directions and Needs in the Spoken Dialog Community: Tools and Data
Triggering effective social support for online groups
ACM Transactions on Interactive Intelligent Systems (TiiS)
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We present a new approach to dialogue management based on the use of multiple, inter-connected policies. Instead of capturing the complexity of the interaction in a single large policy, the dialogue manager operates with a collection of small local policies combined concurrently and hierarchically. The meta-control of these policies relies on an activation vector updated before and after each turn.