Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Adaptive strategies for predicting bidding prices in supply chain management
Proceedings of the 10th international conference on Electronic commerce
Learning approaches for developing successful seller strategies in dynamic supply chain management
Information Sciences: an International Journal
Agent-based competitive simulation: exploring future retail energy markets
Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business
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An agent attempting to model market conditions may benefit from considering how various combinations of competitor strategies would impact these conditions. We give an illustration using a prediction task faced by our agent for the Supply Chain Management scenario of the Trading Agent Competition (TAC SCM). We present the learning approach taken, evaluate its effectiveness, and then explore methods of improving predictions through combining multiple sources of data reflecting various combinations of competitor behaviors.