The Michigan Internet AuctionBot: a configurable auction server for human and software agents
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
Negotiation of Service Level Agreements: An Architecture and a Search-Based Approach
ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
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This work is primarily based on the use of software agents for automated negotiation. We present in this paper a test-bed for agents in an electronic marketplace, through which we simulated different scenarios allowing us to evaluate different agents' negotiation behaviours. The system follows a multi-party and multi-issue negotiation approach. We tested the system by comparing the performance of agents that use multiple tactics with ones that include learning capabilities based on a specific kind of Reinforcement Learning technique. First experiments showed that the adaptive agents tend to win deals over their competitors as their experience increases.