Segmenting State into Entities and Its Implication for Learning

James Henderson. Segmenting State into Entities and Its Implication for Learning. In Stefan Wermter, Jim Austin, David J. Willshaw, editors, Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing. Volume 2036 of Lecture Notes in Computer Science, pages 227-236, Springer, 2001. [doi]

@inproceedings{Henderson01:0,
  title = {Segmenting State into Entities and Its Implication for Learning},
  author = {James Henderson},
  year = {2001},
  url = {http://link.springer.de/link/service/series/0558/bibs/2036/20360227.htm},
  researchr = {https://researchr.org/publication/Henderson01%3A0},
  cites = {0},
  citedby = {0},
  pages = {227-236},
  booktitle = {Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing},
  editor = {Stefan Wermter and Jim Austin and David J. Willshaw},
  volume = {2036},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-42363-X},
}