Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Scientific approaches and techniques for negotiation. A game theoretic and artificial intelligence perspective
Bilateral Negotiation Decisions with Uncertain Dynamic Outside Options
WEC '04 Proceedings of the First IEEE International Workshop on Electronic Contracting
Logic-based automated multi-issue bilateral negotiation in peer-to-peer e-marketplaces
Autonomous Agents and Multi-Agent Systems
Fuzzy Bilateral Matchmaking in e-Marketplaces
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
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
OWL-DL as a power tool to model negotiation mechanisms with incomplete information
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Extending propositional logic with concrete domains for multi-issue bilateral negotiation
DALT'07 Proceedings of the 5th international conference on Declarative agent languages and technologies V
Towards a fuzzy logic for automated multi-issue negotiation
FoIKS'08 Proceedings of the 5th international conference on Foundations of information and knowledge systems
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Semantic-based e-marketplaces have emerged in recent years, to ease the initial phase of transaction in e-marketplaces, where demand/supply descriptions can be complex and expressive.With the - long term - aim of building an e-marketplace fully exploiting rich semantic descriptions in all stages of a transaction, in this paper we propose a semantic-oriented approach to multi issue bilateral negotiation, which exploits a simple propositional logic. We present the theoretical setting, the negotiation protocol, whose outcome is Pareto-efficient, and illustrate the behavior with a simple example.