Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Integrating communicative action, conversations and decision theory to coordinate agents
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Agents that work in harmony by knowing and fulfilling their obligations
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Discourse obligations in dialogue processing
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
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The international telecommunications system is the largest distributed computing system in the world, composed of many autonomous subsystems with different ownership over resources and activities. To provide services to customers, these subsystems have to agree on joint activities and on the use of resources. But reaching such agreements is often hampered by unexpected and undesired interactions among the service features preferred by the various parties. These delay the introduction of new features to the market, complicate development and maintenance and cause dissatisfaction among users. In this paper we show how simple and clear models of interaction and behavior can be combined in a generic negotiation architecture able to automate the agreement reaching process between parties that have different preferences and different authority over resources and activities. The architecture integrates a conversational component, enforcing and ensuring the well-formedness of the interaction, a representation of action formalizing agents' authority to set obligations and interdictions upon other agents and a constraint optimization reasoning component allowing parties to deliberate over behaviors and outcomes to decide on their next move.