Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
Allocation of indivisible goods: a general model and some complexity results
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Propositional-logic approach to one-shot multi issue bilateral negotiation
ACM SIGecom Exchanges
When price is not enough: combining logical and numerical issues in bilateral negotiation
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A logic-based framework to compute Pareto agreements in one-shot bilateral negotiation
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
A computational model of logic-based negotiation
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Description logics for multi-issue bilateral negotiation with incomplete information
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Semantic matchmaking as non-monotonic reasoning: a description logic approach
Journal of Artificial Intelligence Research
Alternating-offers protocol for multi-issue bilateral negotiation in semantic-enabled marketplaces
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
A Unified Framework for Non-standard Reasoning Services in Description Logics
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
An ontology-based approach to automated trust negotiation
Computer Standards & Interfaces
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We propose a logic-based framework to model negotiations among agents in scenarios with fully incomplete information. In particular, we address multi-issue bilateral negotiations, with issues are expressed and related to each other via an OWL ontology. In particular we use OWL-DL sub-language and exploit its formal semantics, based on SHOIN(D). Agents goals are expressed through OWL-DL as (complex) concept expressions, and the worth of goals as weights over concepts. Noteworthily, we adopt a very general setting with incomplete information by letting agents keep both goals and worths of goals as private information. Moreover we propose a protocol for agents to negotiate on and reach an agreement, exploiting inference services. Agents, according to the protocol, can pursue different sets of strategies--depending on their type--and we illustrate and motivate two possible strategies.