Using Evolutionary Game-Theory to Analyse the Performance of Trading Strategies in a Continuous Double Auction Market

Kai Cai, Jinzhong Niu, Simon Parsons. Using Evolutionary Game-Theory to Analyse the Performance of Trading Strategies in a Continuous Double Auction Market. In Karl Tuyls, Ann Nowé, Zahia Guessoum, Daniel Kudenko, editors, Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 5th, 6th, and 7th European Symposium, ALAMAS 2005-2007 on Adaptive and Learning Agents and Multi-Agent Systems, Revised Selected Papers. Volume 4865 of Lecture Notes in Computer Science, pages 44-59, Springer, 2007. [doi]

@inproceedings{CaiNP07,
  title = {Using Evolutionary Game-Theory to Analyse the Performance of Trading Strategies in a Continuous Double Auction Market},
  author = {Kai Cai and Jinzhong Niu and Simon Parsons},
  year = {2007},
  doi = {10.1007/978-3-540-77949-0_4},
  url = {http://dx.doi.org/10.1007/978-3-540-77949-0_4},
  researchr = {https://researchr.org/publication/CaiNP07},
  cites = {0},
  citedby = {0},
  pages = {44-59},
  booktitle = {Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 5th, 6th, and 7th European Symposium, ALAMAS 2005-2007 on Adaptive and Learning Agents and Multi-Agent Systems, Revised Selected Papers},
  editor = {Karl Tuyls and Ann Nowé and Zahia Guessoum and Daniel Kudenko},
  volume = {4865},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-77947-6},
}