Autonomy-oriented computation

From Wikipedia, the free encyclopedia

Autonomy-oriented computation is novel paradigm proposed by Liu (2001) which uses artificial systems imitating social animals' collective behaviours to solve hard computational problems. For example, ant colony optimization could be studied in this paradigm.

[edit] References

  • Xiaolong Jin and Jiming Liu, "From Individual Based Modeling to Autonomy Oriented Computation", in Matthias Nickles, Michael Rovatsos, and Gerhard Weiss (editors), Agents and Computational Autonomy: Potential, Risks, and Solutions, pages 151–169, Lecture Notes in Computer Science, vol. 2969, Springer, Berlin, 2004. ISBN 978-3-540-22477-8.
  • Jiming Liu, Autonomous Agents and Multi-Agent Systems: Explorations in Learning, Self-Organization and Adaptive Computation, World Scientific, 2001.