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Modelling Biases and Biasing Models: The Role of `Hidden Preferences' in the Artificial Co-evolution of Symmetrical Signals

By Seth Bullock and Dave Cliff


Recently, within the biology literature, there has been considerable interest in exploring the evolutionary function of animal displays through computer simulations of evolutionary processes (Arak & Enquist, 1993, 1995a; Enquist & Arak, 1993, 1994; Johnstone, 1994; Hurd, Wachtmeister, & Enquist, 1995; Krakauer & Johnstone, 1995). Whilst we applaud biologists' adoption of the simulation techniques pioneered within the artificial sciences (see, for example, Meyer & Wilson, 1991; Meyer, Roitblat, & Wilson, 1993; Cliff, Husbands, Meyer, & Wilson, 1994, for collections of such research), and feel that bi-directional cross-fertilisation between natural and artificial sciences has a bright future, we suggest that the application of such techniques to evolutionary modelling may prove to be problematic. Some debate has accompanied the work (Cook, 1995; Johnstone, 1995; Arak & Enquist, 1995b; Stamp Dawkins & Guildford, 1995) but attention to the methodology employed within this embryonic research paradigm has been cursory. Here we provide a critique of this methodology, concentrating on Enquist and Arak's (1994) exploration of the evolutionary function of complex symmetrical displays. We investigate their hypothesis that complex signal form, rather than being the product of evolutionary pressure for information exchange, is the product of `hidden preferences' inherent in sensory systems (i.e. sensory biases). Through extending their work and relaxing their assumptions we reveal that the `hidden preference' for symmetry proferred by Enquist and Arak (1994) is in reality a preference for homogeneity. We show that the flaws present in Enquist and Arak's (1994) study are immanent in any such evolutionary simulation model, and must be challenged if research within this..

Year: 2007
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