Multiagent compromise via negotiation
Distributed Artificial Intelligence (Vol. 2)
Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
GENIE: a decision support system for crisis negotiations
Decision Support Systems
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Algorithm for optimal winner determination in combinatorial auctions
Artificial Intelligence
Bargaining on an Internet Agent-based Market: Behavioral vs. Optimizing Agents
Electronic Commerce Research
Learning an Agent's Utility Function by Observing Behavior
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Multi-Issue Negotiation Processes by Evolutionary Simulation, Validationand Social Extensions
Computational Economics
On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
Elicitation of user preferences for multi-attribute negotiation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An agenda-based framework for multi-issue negotiation
Artificial Intelligence
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
Learning on opponent's preferences to make effective multi-issue negotiation trade-offs
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
ACM Transactions on Internet Technology (TOIT)
Communications of the ACM - 3d hard copy
An evolutionary learning approach for adaptive negotiation agents: Research Articles
International Journal of Intelligent Systems - Learning Approaches for Negotiation Agents and Automated Negotiation
A web services-enabled marketplace architecture for negotiation process management
Decision Support Systems - Special issue: Web services and process management
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A machine-learning approach to automated negotiation and prospects for electronic commerce
Journal of Management Information Systems - Special issue: Information technology and its organizational impact
Artificial agents learn policies for multi-issue negotiation
International Journal of Electronic Commerce - Special issue: Systems for computer-mediated digital commerce
Learning a decision maker's utility function from (possibly) inconsistent behavior
Artificial Intelligence
Mining Negotiation Knowledge for Adaptive Negotiation Agents in e-Marketplaces
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Journal of Management Information Systems
Negotiation in Technology Landscapes: An Actor-Issue Analysis
Journal of Management Information Systems
The Use of Cognitive Maps and Case-Based Reasoning for B2B Negotiation
Journal of Management Information Systems
Agent behaviors in virtual negotiation environments
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A weighted sum genetic algorithm to support multiple-partymultiple-objective negotiations
IEEE Transactions on Evolutionary Computation
A review of strategy design and evaluation of software negotiation agents
Proceedings of the 14th Annual International Conference on Electronic Commerce
Fostering Networked Business Operations: A Framework for B2B Electronic Intermediary Development
International Journal of Intelligent Information Technologies
Non-Monotonic Modeling for Personalized Services Retrieval and Selection
International Journal of Systems and Service-Oriented Engineering
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Classical negotiation models are weak in supporting real-world business negotiations because these models often assume that the preference information of each negotiator is made public. Although parametric learning methods have been proposed for acquiring the preference information of negotiation opponents, these methods suffer from the strong assumptions about the specific utility function and negotiation mechanism employed by the opponents. Consequently, it is difficult to apply these learning methods to the heterogeneous negotiation agents participating in e-marketplaces. This paper illustrates the design, development, and evaluation of a nonparametric negotiation knowledge discovery method which is underpinned by the well-known Bayesian learning paradigm. According to our empirical testing, the novel knowledge discovery method can speed up the negotiation processes while maintaining negotiation effectiveness. To the best of our knowledge, this is the first nonparametric negotiation knowledge discovery method developed and evaluated in the context of multi-issue bargaining over e-marketplaces.