Intelligent agents for automated one-to-many e-commerce negotiation
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
Automated negotiation and decision making in multiagent environments
Mutli-agents systems and applications
On Constraint-Based Reasoning in e-Negotiation Agents
Agent-Mediated Electronic Commerce III, Current Issues in Agent-Based Electronic Commerce Systems (includes revised papers from AMEC 2000 Workshop)
Compositional Design and Verification of a Multi-Agent System for One-to-Many Negotiation
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Agent-Based Electronic Commerce: Opportunities and Challenges
ISADS '01 Proceedings of the Fifth International Symposium on Autonomous Decentralized Systems
On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
The Role of Middle-Agents in Electronic Commerce
IEEE Intelligent Systems
Agents that react to changing market situations
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In the Electronic Commerce applications based on MAS (Multi-Agent Systems) etc., because every agent may have different negotiation strategy, reasoning mode, and that for diverse negotiation offers, the time spending in strategy computing, resource allocation and information transmission of the agent are different, so that one to many negotiation generally is asynchronous or with time-delay. This paper puts forward a mechanism with time-delay for one to many negotiation and give a negotiation control mode of multi-agents; considering the aspects of this negotiation including time dependent, opponent influence and other negotiation threads, this paper analyzes the negotiation flow for one to many negotiation with time-delay, designs sub-negotiation strategies for multi-agents; and then discusses when to offer in one to many negotiation with time-delay; brings forward a method for determining the number of negotiation opponents. The research of one to many negotiation with time-delay will improve its applicability and make agent-based automatic negotiation satisfy the needs of practical application. Experimental results validate the correctness and validity of our methods.