Coupling Learning Capability and Local Rules for the Improvement of the Objects' Aggregation Task by a Cognitive Multi-Robot System

Abdelhak Chatty, Philippe Gaussier, Ali Karaouzene, Mohamed Bouzid, Ilhem Kallel, Adel M. Alimi. Coupling Learning Capability and Local Rules for the Improvement of the Objects' Aggregation Task by a Cognitive Multi-Robot System. In Angel P. Del Pobil, Eris Chinellato, Ester Martínez-Martín, John Hallam, Enric Cervera, Antonio Morales, editors, From Animals to Animats 13 - 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014. Proceedings. Volume 8575 of Lecture Notes in Computer Science, pages 290-299, Springer, 2014. [doi]

@inproceedings{ChattyGKBKA14,
  title = {Coupling Learning Capability and Local Rules for the Improvement of the Objects' Aggregation Task by a Cognitive Multi-Robot System},
  author = {Abdelhak Chatty and Philippe Gaussier and Ali Karaouzene and Mohamed Bouzid and Ilhem Kallel and Adel M. Alimi},
  year = {2014},
  doi = {10.1007/978-3-319-08864-8_28},
  url = {http://dx.doi.org/10.1007/978-3-319-08864-8_28},
  researchr = {https://researchr.org/publication/ChattyGKBKA14},
  cites = {0},
  citedby = {0},
  pages = {290-299},
  booktitle = {From Animals to Animats 13 - 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014. Proceedings},
  editor = {Angel P. Del Pobil and Eris Chinellato and Ester Martínez-Martín and John Hallam and Enric Cervera and Antonio Morales},
  volume = {8575},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-08863-1},
}