Multilanguage hierarchical logics, or: how we can do without modal logics
Artificial Intelligence
The EGG/YOLK reliability hierarchy: semantic data integration using sorts with prototypes
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Dialogues for Negotiation: Agent Varieties and Dialogue Sequences
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
A Dialogue Game Protocol for Agent Purchase Negotiations
Autonomous Agents and Multi-Agent Systems
Ontology mapping: the state of the art
The Knowledge Engineering Review
Contract clause negotiation by game theory
Proceedings of the 11th international conference on Artificial intelligence and law
Argumentation over ontology correspondences in MAS
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Combining Normal Communication with Ontology Alignment
Agent Communication II
Learning as Meaning Negotiation: A Model Based on English Auction
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Ontology reasoning in the SHOQ(D) description logic
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Knowledge and communication: A first-order theory
Artificial Intelligence
A set-based approach to negotiation with concessions
Proceedings of the Fifth Balkan Conference in Informatics
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Meaning negotiation (MN) is the general process with which agents reach an agreement about the meaning of a set of terms. We give here a general model of MN for two agents, in which each agent discusses with the other one her viewpoint by exhibiting it in an actual set of constraints on the meaning of the negotiated terms. We call this presentation of individual viewpoints an angle. The two agents do not aim at forming a common viewpoint but, instead, at agreeing about an acceptable common angle. We formalize the process of reaching such an agreement by giving a deduction system that comprises of rules that are consistent and adequate for representing MN.