REGRET: reputation in gregarious societies
Proceedings of the fifth international conference on Autonomous agents
A unifying semantic distance model for determining the similarity of attribute values
ACSC '03 Proceedings of the 26th Australasian computer science conference - Volume 16
A Computational Model of Trust and Reputation for E-businesses
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
Rights and Commitment in Multi-Agent Agreements
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Argumentation-based negotiation
The Knowledge Engineering Review
An information-based model for trust
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Trust evaluation through relationship analysis
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Trust and honour in information-based agency
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
On identifying and managing relationships in multi-agent systems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Bargaining and argument-based negotiation: some preliminary comparisons
ArgMAS'04 Proceedings of the First international conference on Argumentation in Multi-Agent Systems
An approach to argumentation context mining from dialogue history in an e-market scenario
AIDM '07 Proceedings of the 2nd international workshop on Integrating artificial intelligence and data mining - Volume 84
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When an agent enters in an e-Market for the first time, it has no historical information that can be used to determine the strength of business relationship with participant agent, and must therefore rely on the reporting of other agents to prepare for negotiation with that agents. Beliefs of individual agents change through interaction with participant agents and are reflected in their on-going relationships. An understanding of business relationships is fundamental to understanding trade between both human agents in traditional markets and software agents in electronic markets. Two parties in the market establish agreement for mutual beneficial deals or contracts and therefore execute that deal or contract. Contextual information e.g., constraints, preferences, deadlines etc., during execution of the contract are unknown to each of the parties while they established the contract. Deviations between signed contract and executed contract are observed and used to measure the strength of relationship between two parties. We have presented an E-Market framework to describe how Institution Agent can assist for mining Outcome of Contract Execution by observing Argumentation Dialogues to determine how business relationship develops and evolves. In this work, development of an argumentation system is going on where Institution Agent observes the argumentation dialogue between buyer and seller agents. The results of observation are used to determine the strength of business relationship for future interactions between buyer agent and seller agent.