J. J. McDowell, Zahra Ansari. The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning. In Mathieu S. Capcarrère, Alex Alves Freitas, Peter J. Bentley, Colin G. Johnson, Jon Timmis, editors, Advances in Artificial Life, 8th European Conference, ECAL 2005, Canterbury, UK, September 5-9, 2005, Proceedings. Volume 3630 of Lecture Notes in Computer Science, pages 413-422, Springer, 2005. [doi]
@inproceedings{McDowellA05,
title = {The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning},
author = {J. J. McDowell and Zahra Ansari},
year = {2005},
doi = {10.1007/11553090_42},
url = {http://dx.doi.org/10.1007/11553090_42},
researchr = {https://researchr.org/publication/McDowellA05},
cites = {0},
citedby = {0},
pages = {413-422},
booktitle = {Advances in Artificial Life, 8th European Conference, ECAL 2005, Canterbury, UK, September 5-9, 2005, Proceedings},
editor = {Mathieu S. Capcarrère and Alex Alves Freitas and Peter J. Bentley and Colin G. Johnson and Jon Timmis},
volume = {3630},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {3-540-28848-1},
}