title: A computational model of selection by consequences: log survivor plots.
abstract: [McDowell, J.J, 2004. A computational model of selection by consequences. J. Exp. Anal. Behav. 81, 297-317] instantiated the principle of selection by consequences in a virtual organism with an evolving repertoire of possible behaviors undergoing selection, reproduction, and mutation over many generations. The process is based on the computational approach, which is non-deterministic and rules-based. The model proposes a causal account for operant behavior. McDowell found that the virtual organism consistently showed a hyperbolic relationship between response and reinforcement rates according to the quantitative law of effect. To continue validation of the computational model, the present study examined its behavior on the molecular level by comparing the virtual organism's IRT distributions in the form of log survivor plots to findings from live organisms. Log survivor plots did not show the "broken-stick" feature indicative of distinct bouts and pauses in responding, although the bend in slope of the plots became more defined at low reinforcement rates. The shape of the virtual organism's log survivor plots was more consistent with the data on reinforced responding in pigeons. These results suggest that log survivor plot patterns of the virtual organism were generally consistent with the findings from live organisms providing further support for the computational model of selection by consequences as a viable account of operant behavior.
authors.affiliation: Department of Psychology, Emory University, Atlanta, GA 30322, United States. skulube@emory.edu
authors.forename: Saule
authors.initials: S
authors.lastname: Kulubekova
authors.forename: J J
authors.initials: JJ
authors.lastname: McDowell
mesh_terms: D000818:Animals; D001522:Behavior, Animal; D005075:Biological Evolution; D002755:Choice Behavior; D019295:Computational Biology; D003198:Computer Simulation; D016014:Linear Models; D008954:Models, Biological; D008960:Models, Psychological; D012641:Selection, Genetic; D016019:Survival Analysis