An Information-Theoretic Approach for the Quantification of Relevance

Daniel Polani, Thomas Martinetz, Jan T. Kim. An Information-Theoretic Approach for the Quantification of Relevance. In Jozef Kelemen, Petr Sosík, editors, Advances in Artificial Life, 6th European Conference, ECAL 2001, Prague, Czech Republic, September 10-14, 2001, Proceedings. Volume 2159 of Lecture Notes in Computer Science, pages 704-713, Springer, 2001. [doi]

@inproceedings{PolaniMK01,
  title = {An Information-Theoretic Approach for the Quantification of Relevance},
  author = {Daniel Polani and Thomas Martinetz and Jan T. Kim},
  year = {2001},
  url = {http://link.springer.de/link/service/series/0558/bibs/2159/21590704.htm},
  tags = {systematic-approach},
  researchr = {https://researchr.org/publication/PolaniMK01},
  cites = {0},
  citedby = {0},
  pages = {704-713},
  booktitle = {Advances in Artificial Life, 6th European Conference, ECAL 2001, Prague, Czech Republic, September 10-14, 2001, Proceedings},
  editor = {Jozef Kelemen and Petr Sosík},
  volume = {2159},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-42567-5},
}