Self-loops Favour Diversification and Asymmetric Transitions Between Attractors in Boolean Network Models

Michele Braccini, Sara Montagna, Andrea Roli. Self-loops Favour Diversification and Asymmetric Transitions Between Attractors in Boolean Network Models. In Stefano Cagnoni, Monica Mordonini, Riccardo Pecori, Andrea Roli, Marco Villani, editors, Artificial Life and Evolutionary Computation - 13th Italian Workshop, WIVACE 2018, Parma, Italy, September 10-12, 2018, Revised Selected Papers. Volume 900 of Communications in Computer and Information Science, pages 30-41, Springer, 2018. [doi]

@inproceedings{BracciniMR18,
  title = {Self-loops Favour Diversification and Asymmetric Transitions Between Attractors in Boolean Network Models},
  author = {Michele Braccini and Sara Montagna and Andrea Roli},
  year = {2018},
  doi = {10.1007/978-3-030-21733-4_3},
  url = {https://doi.org/10.1007/978-3-030-21733-4_3},
  researchr = {https://researchr.org/publication/BracciniMR18},
  cites = {0},
  citedby = {0},
  pages = {30-41},
  booktitle = {Artificial Life and Evolutionary Computation - 13th Italian Workshop, WIVACE 2018, Parma, Italy, September 10-12, 2018, Revised Selected Papers},
  editor = {Stefano Cagnoni and Monica Mordonini and Riccardo Pecori and Andrea Roli and Marco Villani},
  volume = {900},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-21733-4},
}