Bidding Algorithms for Simultaneous Auctions: A Case Study
Autonomous Agents and Multi-Agent Systems
Bidding under uncertainty: theory and experiments
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Walverine: a Walrasian trading agent
Decision Support Systems - Special issue: Decision theory and game theory in agent design
Mertacor: a successful autonomous trading agent
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Price prediction in a trading agent competition
Journal of Artificial Intelligence Research
RoxyBot-06: an (SAA)2TAC travel agent
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A long-term profit seeking strategy for continuous double auctions in a trading agent competition
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Hi-index | 0.00 |
We present a comparative analysis for several multi-agents participating in Trading Agents Competition, Classic. The game is first partitioned into separate modules, for which distinct strategies may be developed. The strategies used are taken into consideration both individually and in relation with other agents, but also the game medium. Conclusions regarding possible improvements, better strategies and potential weaknesses are driven from each agent analysis. Alternatives like static market algorithms vs. dynamic market algorithms are considered in detail and advantages and disadvantages are discussed. Also a discussion of TAC market and possibilities for the stochastic system approximation with a deterministic one is realized.