群知能
出典: フリー百科事典『ウィキペディア（Wikipedia）』 (2023/05/25 20:05 UTC 版)
群知能（ぐんちのう、むれちのう、swarm intelligence, SI）は、分権化し自己組織化されたシステムの集合的ふるまいの研究に基づいた人工知能技術である。「群知能」という用語は、1989年 Beni および Wang が提唱したもので、セルラーロボットシステムに関して使ったのが最初である[1](セル・オートマトン、進化的計算も参照されたい)。
- ^ Beni, G., Wang, J. Swarm Intelligence in Cellular Robotic Systems, Proceed. NATO Advanced Workshop on Robots and Biological Systems, Tuscany, Italy, June 26–30 (1989)
- ^ Sue, Peggy (2023年1月24日). “自然界のアルゴリズム - scienceblog”. サイエンスブログ. 2023年1月24日閲覧。
- ^ Altruism helps swarming robots fly better genevalunch.com, 4 May 2011.
- ^ Waibel M, Floreano1 D and Keller L (2011) "A quantitative test of Hamilton's rule for the evolution of altruism" PLoS Biology, 9(5): e1000615. doi:10.1371/journal.pbio.1000615
- ^ Ant Colony Optimization by Marco Dorigo and Thomas Stützle, MIT Press, 2004. ISBN 0-262-04219-3
- ^ Karaboga, Dervis (2010) Artificial bee colony algorithm Scholarpedia, 5(3): 6915.
- ^ Kaveh, A.; Talatahari, S. (2010). “A Novel Heuristic Optimization Method: Charged System Search”. Acta Mechanica 213 (3-4): 267–289. doi:10.1007/s00707-009-0270-4.
- ^ Yang X.-S. and Deb S. (December 2009). "Cuckoo search via Lévy flights". World Congress on Nature & Biologically Inspired Computing (NaBIC 2009). IEEE Publications. pp. 210–214. arXiv:1003.1594v1.
- ^ “Novel 'Cuckoo Search Algorithm' Beats Particle Swarm Optimization in Engineering Design”. Science Daily. 2012年5月21日閲覧。
- ^ P. Civicioglu and E. Besdok, A conception comparison of the cuckoo search, particle swarm optimization, differential evolution and artificial bee colony algorithms, Artificial Intelligence Review, DOI 10.1007/s10462-011-92760, 6 July (2011).
- ^ Yang X. S., (2008). Nature-Inspired Metaheuristic Algorithms. Frome: Luniver Press. ISBN 1-905986-10-6.
- ^ Rashedi, E.; Nezamabadi-pour, H.; Saryazdi, S. (2009). “GSA: a gravitational search algorithm”. Information Science 179 (13): 2232–2248.
- ^ Nobahari, H.; Nikusokhan, M.. “Non-dominated Sorting Gravitational Search Algorithm”. International Conference on Swarm Intelligence.
- ^ Shah-Hosseini, Hamed (2009). “The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm”. International Journal of Bio-Inspired Computation 1 (1/2): 71–79.
- ^ Parsopoulos, K. E.; Vrahatis, M. N. (2002). “Recent Approaches to Global Optimization Problems Through Particle Swarm Optimization”. Natural Computing 1 (2-3): 235–306. doi:10.1023/A:1016568309421.
- ^ Particle Swarm Optimization by Maurice Clerc, ISTE, ISBN 1-905209-04-5, 2006.
- ^ Using River Formation Dynamics to Design Heuristic Algorithms by Pablo Rabanal, Ismael Rodríguez and Fernando Rubio, Springer, 2007. ISBN 978-3-540-73553-3
- ^ Finding Minimum Spanning/Distances Trees by Using River Formation Dynamics by Pablo Rabanal, Ismael Rodríguez and Fernando Rubio, Springer, 2008. ISBN 978-3-540-87526-0
- ^ A Formal Approach to Heuristically Test Restorable Systems by Pablo Rabanal, Ismael Rodríguez and Fernando Rubio, Springer, 2009. ISBN 978-3-642-03465-7
- ^ Vicsek, T.; Czirok, A.; Ben-Jacob, E.; Cohen, I. & Shochet, O. (1995) "Novel type of phase transition in a system of self-driven particles" Physical review letters, 75:1226–1229. doi:10.1103/PhysRevLett.75.1226
- ^ Reynolds, C.W. (1987) "Flocks, herds and schools: A distributed behavioral model" Computer Graphics, 21(4), 25–34. doi:10.1145/37401.37406
- ^ Czirók, A. & Vicsek, T. (2006) "Collective behavior of interacting self-propelled particles" Physica A, 281: 17–29. doi:10.1016/S0378-4371(00)00013-3
- ^ Buhl, J.; Sumpter, D.J.T.; Couzin, D.; Hale, J.J.; Despland, E.; Miller, E.R. & Simpson, S.J. (2006) "From disorder to order in marching locusts Science, 312(5778): 1402–1406. doi:10.1126/science.1125142
- ^ Toner, J.; Tu, Y. & Ramaswamy, S. (2005) "Hydrodynamics and phases of flocks" Annals Of Physics, 318(170)
- ^ Bertin, E.; Droz, M. & Grégoire, G. (2009) "Hydrodynamic equations for self-propelled particles: microscopic derivation and stability analysis" J. Phys. A, 42(44): paper 445001. doi:10.1088/1751-8113/42/44/445001
- ^ Li, Y.X.; Lukeman, R. & Edelstein-Keshet, L. (2007) "Minimal mechanisms for school formation in self-propelled particles" Physica D: Nonlinear Phenomena, 237(5): 699–720. doi:10.1016/j.physd.2007.10.009
- ^ Lewis, M. Anthony; Bekey, George A.. “The Behavioral Self-Organization of Nanorobots Using Local Rules”. Proceedings of the 1992 IEEE/RSJ International Conference on Intelligent Robots and Systems.
- ^ Martens, D.; Baesens, B.; Fawcett, T. (2011). “Editorial Survey: Swarm Intelligence for Data Mining”. Machine Learning 82 (1): 1–42. doi:10.1007/s10994-010-5216-5.
- ^ Miller, Peter (2010). The Smart Swarm: How understanding flocks, schools, and colonies can make us better at communicating, decision making, and getting things done. New York: Avery. ISBN 978-1-58333-390-7
- ^ “"Planes, Trains and Ant Hills: Computer scientists simulate activity of ants to reduce airline delays”. Science Daily. (2008年4月1日) 2010年12月1日閲覧。
[続きの解説]
「群知能」の続きの解説一覧
- 1 群知能とは
- 2 群知能の概要
- 3 ポップカルチャーでの例
- 4 外部リンク
固有名詞の分類
- 群知能のページへのリンク
