Bargaining under two-sided incomplete information: the unrestricted offers case
Operations Research
Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
A negotiation model of incomplete information under time constraints
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Intelligent agents for automated one-to-many e-commerce negotiation
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
Multi-Issue Negotiation Processes by Evolutionary Simulation, Validationand Social Extensions
Computational Economics
Concurrent bi-lateral negotiation in agent systems
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Learning on opponent's preferences to make effective multi-issue negotiation trade-offs
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
Bargaining with incomplete information
Annals of Mathematics and Artificial Intelligence
Buyer-Supplier Negotiation by Fuzzy Logic Based Agents
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
An Adaptive Bilateral Negotiation Model for E-Commerce Settings
CEC '05 Proceedings of the Seventh IEEE International Conference on E-Commerce Technology
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
Towards a Fuzzy-Based Model for Human-like Multi-Agent Negotiation
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Implicit Deadline Calculation for Seller Agent Bargaining in Information Marketplaces
CISIS '08 Proceedings of the 2008 International Conference on Complex, Intelligent and Software Intensive Systems
On the Use of Fuzzy Logic in a Seller Bargaining Game
COMPSAC '08 Proceedings of the 2008 32nd Annual IEEE International Computer Software and Applications Conference
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction
A heuristic model for concurrent bi-lateral negotiations in incomplete information settings
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Fuzzy Logic to Support Bilateral Agent Negotiation in E-commerce
AICI '09 Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence - Volume 04
Continuous-Time Negotiation Mechanism for Software Agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Electronic Commerce Research and Applications
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Electronic Marketplaces (EMs) can offer a number of advantages for users searching for products. In EMs, Intelligent Agents (IAs) can undertake the responsibility of representing buyers and sellers and negotiate over the conclusion of purchases. For this purpose, a negotiation is held between IAs. The most important characteristics are the deadline and the pricing strategy. The strategy defines the proposed prices at every round of the negotiation. We focus on the buyer side. We study concurrent negotiations between a buyer and a set of sellers. In this setting, the buyer utilizes a number of threads. Each thread follows a specific strategy and adopts swarm intelligence techniques for achieving the optimal agreement. The Particle Swarm Optimization (PSO) algorithm is adopted by each thread. Our architecture requires no central coordination. In real situations, there is absolutely no knowledge for the characteristics of the involved entities. In this paper, we model such kind of uncertainty through known techniques for estimating the distribution of deadlines and strategies. One of them is the Kernel Density Estimation (KDE) technique. Our experimental results depict the time interval where the agreement is possible and the efficiency of the proposed model.