Swarm Cognition: An interdisciplinary approach to the study of self-organising biological collectives

Swarm Intelligence

Volumn 5, Issue 1, 2011, Pages 3-18

  Trianni, Vito ^a   Tuci, Elio ^b   Passino, Kevin M ^c   Marshall, James A R ^d  

^a UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^b ABERYSTWYTH UNIVERSITY   (United Kingdom)

^c Ohio State University   (United States)

^d UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Artificial life; Cognitive neurosciences; Self organisation; Social ethology; Swarm Cognition

Indexed keywords

ARTIFICIAL LIFE; BIOLOGY;

BIOLOGICAL BASIS; BRAIN DYNAMICS; COGNITIVE NEUROSCIENCES; COGNITIVE PSYCHOLOGY; SELF ORGANISATION; SELF-ORGANISING; SOCIAL ETHOLOGY; SWARM COGNITION;

COMPUTATIONAL NEUROSCIENCE;

EID: 78751572785     PISSN: 19353812     EISSN: 19353820     Source Type: Journal    
DOI: 10.1007/s11721-010-0050-8     Document Type: Article

References (45)

1. Anderson, M. L. (2003). Embodied Cognition: A field guide. Artificial Intelligence, 149, 91-130.
2. Ashby, W. R. (1962). Principles of self-organizing systems. In H. von Foerster & G. W. Zopf Jr. (Eds.), Principles of self-organization (pp. 255-278). New York: Pergamon Press.
3. Barsalou, L. W. (2010). Introduction to 30th anniversary perspectives on cognitive science: Past, present, and future. Topics in Cognitive Science, 2(3), 322-327.
4. Bogacz, R., Brown, E., Moehlis, J., Holmes, P., & Cohen, J. D. (2006). The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. Psychological Review, 113(4), 700-765.
5. Camazine, S., Deneubourg, J.-L., Franks, N., Sneyd, J., Theraulaz, G., & Bonabeau, E. (2001). Self-organization in biological systems. Princeton: Princeton University Press.
6. Couzin, I. D. (2007). Collective minds. Nature, 455, 715.
7. Couzin, I. D. (2009). Collective cognition in animal groups. Trends in Cognitive Sciences, 13(1), 36-43.
8. Couzin, I. D., & Krause, J. (2003). Self-organization and collective behavior of vertebrates. Advances in the Study of Behavior, 32, 1-75.
9. Deco, G., Scarano, L., & Soto-Faraco, S. (2007). Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model. The Journal of Neuroscience, 27(42), 11192-11200.
10. Deneubourg, J.-L., Pasteels, J. M., & Verhaeghe, J. C. (1983). Probabilistic behaviour in ants: a strategy of errors? Journal of Theoretical Biology, 105(259-271).
11. Deneubourg, J.-L., Aron, S., Goss, S., & Pasteels, J. M. (1990). The self-organizing exploratory patterns of the Argentine ant. Journal of Insect Behavior, 3, 159-168.
12. Dennett, D. C. (1995). Intuition pumps. In J. Brockman (Ed.), The third culture: beyond the scientific revolution (pp. 180-197). New York: Simon & Schuster.
13. Detrain, C., & Deneubourg, J.-L. (2006). Self-organized structures in a superorganism: do ants "behave" like molecules? Physics of Life Reviews, 3, 162-187.
14. Detrain, C., Deneubourg, J.-L., & Pasteels, J. M. (Eds.) (1999). Information processing in social insects. Basel: Birkhäuser.
15. Dorigo, M., Trianni, V., Şahin, E., Groß, R., Labella, T. H., Baldassarre, G., Nolfi, S., Deneubourg, J.-L., Mondada, F., Floreano, D., & Gambardella, L. M. (2004). Evolving self-organizing behaviors for a swarm-bot. Autonomous Robots, 17(2-3), 223-245.
16. Franks, N. R., & Richardson, T. (2006). Teaching in tandem-running ants. Nature, 439(7073), 153.
17. Franks, N. R., Pratt, S. C., Mallon, E. B., Britton, N. F., & Sumpter, D. J. T. (2002). Information flow, opinion-polling and collective intelligence in house-hunting social insects. Philosophical Transactions of the Royal Society of London: Series B, 357(1427), 1567-1583.
18. Franks, N. R., Dornhaus, A., Fitzsimmons, J. P., & Stevens, M. (2003). Speed versus accuracy in collective decision-making. Proceedings of the Royal Society B: Biological Sciences, 270(1532), 2457-2463.
19. Garnier, S., Gautrais, J., & Theraulaz, G. (2007). The biological principles of swarm intelligence. Swarm Intelligence, 1, 3-31.
20. Goldstone, R. L., & Gureckis, T. M. (2009). Collective behaviour. Trends in Cognitive Science, 1(3), 412-438.
21. Harvey, I., Di Paolo, E. A., Wood, R., Quinn, M., & Tuci, E. (2005). Evolutionary robotics: A new scientific tool for studying cognition. Artificial life, 11(1-2), 79-98.
22. Langton, C. G. (1988). Artificial life. In C. G. Langton (Ed.), Artificial life (pp. 1-47). Reading: Addison-Wesley.
23. Marshall, J. A. R., & Franks, N. R. (2009). Colony-level cognition. Current Biology, 19(10), 395-396.
24. Marshall, J. A. R., Bogacz, R., Dornhaus, A., Planqué, R., Kovacs, T., & Franks, N. R. (2009). On optimal decision-making in brains and social insect colonies. Journal of the Royal Society Interface, 6, 1065-1074.
25. Morlino, G., Trianni, V., & Tuci, E. (2010). Collective perception in a swarm of autonomous robots. In J. Filipe & J. Kacprzyk (Eds.), Proceedings of the international conference on evolutionary computation (ICEC 2010) (pp. 51-59). Setubal: SciTePress.
26. Nicolis, G., & Prigogine, I. (1977). Self-organization in nonequilibrium systems. New York: Wiley.
27. Passino, K. M., Seeley, T. D., & Visscher, P. K. (2008). Swarm cognition in honey bees. Behavioral Ecology and Sociobiology, 62(3), 401-414.
28. Passino, K. M., Seeley, T. D., & Visscher, P. K. (2010). Honey bee swarm cognition: Decision-making performance and adaptation. International Journal of Swarm Intelligence Research, 1(2), 80-97.
29. Pfeifer, R., & Scheier, C. (1999). Understanding intelligence. Cambridge: MIT Press.
30. Ratcliff, R. (1978). A theory of memory retrieval. Psychological Review, 85(2), 59-108.
31. Ratcliff, R., & Smith, P. L. (2004). A comparison of sequential sampling models for two-choice reaction time. Psychological Review, 111, 333-367.
32. Roitman, J. D., & Shadlen, M. N. (2002). Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. Journal of Neuroscience, 22(21), 9475.
33. Santana, P., & Correia, L. (2010). A swarm cognition realization of attention, action selection and spatial memory. Adaptive Behavior, 18(5), 428-447.
34. Santana, P., & Correia, L. (2011, this issue). Swarm cognition on off-road autonomous robots. Swarm Intelligence.
35. Schartz, E. (1990). Computational neuroscience. Cambridge: MIT Press.
36. Strogatz, S. H. (2003). Sync: The emerging science of spontaneous order. New York: Hyperion Press.
37. Sumpter, D. J. T. (2010). Collective animal behaviour. Princeton: Princeton University Press.
38. Trianni, V., & Tuci, E. (2009). Swarm cognition and artificial life. In LNCS/LNAI: Vol. 5777-5778. Advances in artificial life. Proceedings of the 10th european conference on artificial life (ECAL 2009).
39. Tuci, E., Gross, R., Trianni, V., Mondada, F., Bonani, M., & Dorigo, M. (2006). Cooperation through self-assembly in multi-robot systems. ACM Transactions on Autonomous and Adaptive Systems, 1(2), 115-150.
40. Turner, S. (2011, this issue). Termites as models of swarm cognition. Swarm Intelligence.
41. Usher, M., & McClelland, J. L. (2001). The time course of perceptual choice: The leaky, competing accumulator model. Psychological Review, 108(3), 550-592.
42. Visscher, P. K. (2007). Group decision making in nest-site selection among social insects. Annual Review of Entomology, 52, 255-275.
43. Visscher, P. K., & Camazine, S. (1999). Collective decision and cognition in bees. Nature, 397, 400.
44. von Foerster, H. (1960). On self-organizing systems and their environments. In M. C. Yovits & S. Cameron (Eds.), Self-organizing systems (pp. 31-50). London: Pergamon Press.
45. Von Frisch, K. (1967). The dance language and orientation of bees. Cambridge: Harvard University Press.