Abstract
This rather philosophical paper discusses the necessary three ingredients which together allow a collective phenomenon to be described as “emergent”. First the phenomenon, as usual, requires a group of agents entering in a non-linear relationship and entailing the existence of two semantic descriptions depending on the scale of observation. Second this phenomenon has to be observed by a mechanical observer instead of a human one, which has the natural capacity for temporal and/or spatial integration. Finally, for this natural observer to detect and select the collective phenomenon, it needs to do so in rewards of the adaptive value this phenomenon is responsible for. The presence of natural selection drives us to defend, with many authors, the idea that emergent phenomena can only belong to biology. After a brief philosophical plea, we present a simple and illustrative computer thought experiment in which a society of agents evolves a stigmergic collective behavior as an outcome of its greater adaptive value. The three ingredients are illustrated and discussed within this experimental context.
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References
Poundstone, W.: Recursive Universe: Cosmic Consequences and the Limits of Scientific Knowledge. NTC Publishing Group, Lincolnwood (1985)
Kubik, A.: Toward a formalization of emergence. Artificial Life 9(1), 41–65 (2003)
Bedeau, M.: Weak emergence. Philosophical perspectives: Mind, causation and world 11, 375–399 (1997)
Bar-Yam, Y.: A mathematical theory of strong emergence using multiscale variety. Complex 9(6), 15–24 (2004)
Anderson, P.: More is different. Science 177, 393–396 (1972)
Laughlin, R.: A different universe: reinventing physics from the bottom down. Basic Books, New York (2005)
Goodwin, B.: How the Leopard Changed Its Spots: The Evolution of Complexity. Princeton University Press, Princeton (March 1994)
Kauffmann, S.: At Home in the Universe: The Search for Laws of Self-Organization and Complexity. Oxford University Press, Oxford (Oct. 1996)
Maynard-Smith, J., Szathmary, E.: The Major Transitions in Evolution. Oxford University Press, New York (1997)
Cariani, P.: Emergence of new signal-primitives in neural networks. Intellectica 2, 95–143 (1997)
Groß, R., Bonani, M., Mondada, F., Dorigo, M.: Autonomous self-assembly in swarm-bots. IEEE Transactions on Robotics 22(6), 1115–1130 (2006)
Bersini, H.: Whatever emerges should be intrinsically useful. In: Artificial life 9, pp. 226–231. MIT Press, Cambridge (2004)
Crutchfield, J.: Is anything ever new? considering emergence. In: Cowan, G., Pines, D., Melzner, D. (eds.) Integrative Themes. Santa Fe Institute Studies in the Sciences of Complexity, vol. 19, Addison-Wesley, Reading (1994)
Crutchfield, J., Mitchell, M.: The evolution of emergent computation. Proceedings of the National Academy of Science 23, 103 (1995)
Corning, P.: The re-emergence of ”emergence”: A venerable concept in search of a theory. Complexity 7(6), 18–30 (2002)
Dorigo, M., Maniezzo, V., Colorni, A.: The ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics 26(1), 29–41 (1996)
Calvin, W.: The brain as a darwin machine. Nature 330, 33–34 (1987)
Edelman, G.: Neural Darwinism. Oxford University Press, Oxford (1990)
Baas, N.: Emergence, hierarchies and hyper-structures. In: Langton, C.G. (ed.) Artificial Life III, Boston, MA, USA, pp. 515–537. Addison-Wesley Longman Publishing, Reading (1994)
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Bersini, H., Philemotte, C. (2007). Emergent Phenomena Only Belong to Biology. In: Almeida e Costa, F., Rocha, L.M., Costa, E., Harvey, I., Coutinho, A. (eds) Advances in Artificial Life. ECAL 2007. Lecture Notes in Computer Science(), vol 4648. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74913-4_6
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DOI: https://doi.org/10.1007/978-3-540-74913-4_6
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