title: Selective pressures for accurate altruism targeting: evidence from digital evolution for difficult-to-test aspects of inclusive fitness theory.
abstract: Inclusive fitness theory predicts that natural selection will favour altruist genes that are more accurate in targeting altruism only to copies of themselves. In this paper, we provide evidence from digital evolution in support of this prediction by competing multiple altruist-targeting mechanisms that vary in their accuracy in determining whether a potential target for altruism carries a copy of the altruist gene. We compete altruism-targeting mechanisms based on (i) kinship (kin targeting), (ii) genetic similarity at a level greater than that expected of kin (similarity targeting), and (iii) perfect knowledge of the presence of an altruist gene (green beard targeting). Natural selection always favoured the most accurate targeting mechanism available. Our investigations also revealed that evolution did not increase the altruism level when all green beard altruists used the same phenotypic marker. The green beard altruism levels stably increased only when mutations that changed the altruism level also changed the marker (e.g. beard colour), such that beard colour reliably indicated the altruism level. For kin- and similarity-targeting mechanisms, we found that evolution was able to stably adjust altruism levels. Our results confirm that natural selection favours altruist genes that are increasingly accurate in targeting altruism to only their copies. Our work also emphasizes that the concept of targeting accuracy must include both the presence of an altruist gene and the level of altruism it produces.
authors.affiliation: Department of Philosophy, Michigan State University, East Lansing, MI 48824, USA. jclune@msu.edu
authors.forename: Jeff
authors.initials: J
authors.lastname: Clune
authors.forename: Heather J
authors.initials: HJ
authors.lastname: Goldsby
authors.forename: Charles
authors.initials: C
authors.lastname: Ofria
authors.forename: Robert T
authors.initials: RT
authors.lastname: Pennock
mesh_terms: D000533:Altruism; D005075:Biological Evolution; D003198:Computer Simulation; D056084:Genetic Fitness; D008954:Models, Biological; D012641:Selection, Genetic