Evolving High Fidelity Low Complexity Sheepdog Herding Simulations Using a Machine Learner Fitness Function Surrogate for Human Judgement

Erandi Lakshika, Michael Barlow, Adam Easton. Evolving High Fidelity Low Complexity Sheepdog Herding Simulations Using a Machine Learner Fitness Function Surrogate for Human Judgement. In Bernhard Pfahringer, Jochen Renz, editors, AI 2015: Advances in Artificial Intelligence - 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 - December 4, 2015, Proceedings. Volume 9457 of Lecture Notes in Computer Science, pages 330-342, Springer, 2015. [doi]

@inproceedings{LakshikaBE15,
  title = {Evolving High Fidelity Low Complexity Sheepdog Herding Simulations Using a Machine Learner Fitness Function Surrogate for Human Judgement},
  author = {Erandi Lakshika and Michael Barlow and Adam Easton},
  year = {2015},
  doi = {10.1007/978-3-319-26350-2_29},
  url = {http://dx.doi.org/10.1007/978-3-319-26350-2_29},
  researchr = {https://researchr.org/publication/LakshikaBE15},
  cites = {0},
  citedby = {0},
  pages = {330-342},
  booktitle = {AI 2015: Advances in Artificial Intelligence - 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 - December 4, 2015, Proceedings},
  editor = {Bernhard Pfahringer and Jochen Renz},
  volume = {9457},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-26349-6},
}