The emerging role of electronic marketplaces on the Internet
Communications of the ACM
A market architecture for multi-agent contracting
AGENTS '98 Proceedings of the second international conference on Autonomous agents
NEFCLASSmdash;a neuro-fuzzy approach for the classification of data
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
E-commerce and the information market
Communications of the ACM
Information agent technology for the Internet: a survey
Data & Knowledge Engineering - Special issue on heterogeneous information resources need semantic access
Introduction to Stochastic Dynamic Programming: Probability and Mathematical
Introduction to Stochastic Dynamic Programming: Probability and Mathematical
Fuzzy Control
An Electronic Marketplace Architecture Based on Technology of Intelligent Agents and Knowledge
E-Commerce Agents, Marketplace Solutions, Security Issues, and Supply and Demand
Bilateral Negotiation for Agent-Mediated Electronic Commerce
Agent-Mediated Electronic Commerce III, Current Issues in Agent-Based Electronic Commerce Systems (includes revised papers from AMEC 2000 Workshop)
On Fuzzy e-Negotiation Agents: Autonomous Negotiation with Incomplete and Imprecise Information
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
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
A Fuzzy-Logic Based Bidding Strategy for Autonomous Agents in Continuous Double Auctions
IEEE Transactions on Knowledge and Data Engineering
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 evolutionary learning approach for adaptive negotiation agents: Research Articles
International Journal of Intelligent Systems - Learning Approaches for Negotiation Agents and Automated Negotiation
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
Decision Support Systems - Special issue: Economics and information systems
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
Reaching agreements through fuzzy counter-offers
ICWE'03 Proceedings of the 2003 international conference on Web engineering
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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Future Web business models involve virtual environments where entities interact in order to sell or buy information goods. Such environments are known as Information Markets (IMs). Intelligent agents are used in IMs for representing buyers or information providers (sellers). We focus on the decisions taken by the buyer in the purchase negotiation process with sellers. We propose a reasoning mechanism on the offers (prices of information goods) issued by sellers based on fuzzy logic. The buyer’s knowledge on the negotiation process is modeled through fuzzy sets. We propose a fuzzy inference engine dealing with the decisions that the buyer takes on each stage of the negotiation process. The outcome of the proposed reasoning method indicates whether the buyer should accept or reject the sellers’ offers. Our findings are very promising for the efficiency of automated transactions undertaken by intelligent agents.