Proceedings of the first international conference on Principles of knowledge representation and reasoning
C4.5: programs for machine learning
C4.5: programs for machine learning
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Adjustable autonomy in real-world multi-agent environments
Proceedings of the fifth international conference on Autonomous agents
Electric Elves: Applying Agent Technology to Support Human Organizations
Proceedings of the Thirteenth Conference on Innovative Applications of Artificial Intelligence Conference
A Cognitive Model of Situated Autonomy
Revised Papers from the PRICAI 2000 Workshop Reader, Four Workshops held at PRICAI 2000 on Advances in Artificial Intelligence
Planning for contingencies: a decision-based approach
Journal of Artificial Intelligence Research
User - interface agent interaction: personalization issues
International Journal of Human-Computer Studies
Bioinformatics integration and agent technology
Journal of Biomedical Informatics
A hybrid transfer of control model for adjustable autonomy multiagent systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Définition et représentation du contexte pour des agents sensibles au contexte
UbiMob '05 Proceedings of the 2nd French-speaking conference on Mobility and ubiquity computing
Architecture d'agent sensible au contexte pour la prise de décisions
UbiMob '05 Proceedings of the 2nd French-speaking conference on Mobility and ubiquity computing
Controlling an Interactive Game with a Multi-agent Based Normative Organisational Model
Coordination, Organizations, Institutions, and Norms in Agent Systems II
Towards adjustable autonomy for the real world
Journal of Artificial Intelligence Research
Proceedings of the 2009 international conference on Multimodal interfaces
A Decision-Theoretic Approach to Cooperative Control and Adjustable Autonomy
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Modeling the Rhetoric of Human-computer interaction
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: interaction techniques and environments - Volume Part II
User Modeling and User-Adapted Interaction
What is context and how can an agent learn to find and use it when making decisions?
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Reasoning about interaction in a multi-user system
UM'05 Proceedings of the 10th international conference on User Modeling
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
MRC'05 Proceedings of the Second international conference on Modeling and Retrieval of Context
Designing the HRTeam framework: lessons learned from a rough-and-ready human/multi-robot team
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
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Adjustable autonomy refers to agents' dynamically varying their own autonomy, transferring decision making control to other entities (typically human users) in key situations. Determining whether and when such transfer of control must occur is arguably the fundamental research question in adjustable autonomy. Practical systems have made significant in roads in answering this question and in providing high-level guidelines for transfer of control decisions. For instance, [11] report that Markov decision processes were successfully used in transfer of control decisions in a real world multiagent system, but that use of C4.5 led to failures. Yet, an underlying theory of transfer of control, that would explain such successes or failures is missing. To take a step in building this theory, we introduce the notion of a transfer-of-control strategy, which potentially involves several transfer of control actions. A mathematical model based on this notion allows both analysis of previously reported implementations and guidance for the design of new implementations. The practical benefits of this model are illustrated in a dramatic simplification of an existing adjustable autonomy system.