An Incremental Model of Lexicon Consensus in a Population of Agents by Means of Grammatical Evolution, Reinforcement Learning and Semantic Rules

Jack Mario Mingo, Ricardo Aler. An Incremental Model of Lexicon Consensus in a Population of Agents by Means of Grammatical Evolution, Reinforcement Learning and Semantic Rules. In José Manuel Ferrández, José Ramón Álvarez Sánchez, Félix de la Paz, F. Javier Toledo, editors, Foundations on Natural and Artificial Computation - 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. Proceedings, Part I. Volume 6686 of Lecture Notes in Computer Science, pages 40-49, Springer, 2011. [doi]

@inproceedings{MingoA11,
  title = {An Incremental Model of Lexicon Consensus in a Population of Agents by Means of Grammatical Evolution, Reinforcement Learning and Semantic Rules},
  author = {Jack Mario Mingo and Ricardo Aler},
  year = {2011},
  doi = {10.1007/978-3-642-21344-1_5},
  url = {http://dx.doi.org/10.1007/978-3-642-21344-1_5},
  tags = {rule-based, agent based modeling, rules, incremental},
  researchr = {https://researchr.org/publication/MingoA11},
  cites = {0},
  citedby = {0},
  pages = {40-49},
  booktitle = {Foundations on Natural and Artificial Computation - 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. Proceedings, Part I},
  editor = {José Manuel Ferrández and José Ramón Álvarez Sánchez and Félix de la Paz and F. Javier Toledo},
  volume = {6686},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-21343-4},
}