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Artificial Intelligence
Applications of deontic logic in computer science: a concise overview
Deontic logic in computer science
Collaborative plans for complex group action
Artificial Intelligence
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Games That Agents Play: A Formal Framework for Dialogues between Autonomous Agents
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ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
The reliability of a dialogue structure coding scheme
Computational Linguistics
Discourse obligations in dialogue processing
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
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IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Social network semantics for agent communication
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
A multi-responsive communication architecture for web service description and discovery
Proceedings of the 6th International Conference on Semantic Systems
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In natural language dialogue, the way a responder 'takes up' the initiative of a participant, largely influences the further course of the dialogue. This uptake mechanism can be understood as a negotiation at a meta level: an initiative counts as a bid of a dialogue game; an appropriate response counts as an acceptance of the bid. We propose to extend this account of uptake to other conventional joint activities besides dialogue. We show that for an uptake mechanism to be effective, a joint activity must be characterisable in terms of initiatives and responses, with projection rules that indicate what initiatives count as a bid for a joint action, and appropriateness rules that indicate what responses count as appropriate.