Emory University.
J Exp Anal Behav. 2013 Sep;100(2):147-64. doi: 10.1002/jeab.40. Epub 2013 Jul 29.
The computational model of selection by consequences is an ontogenetic dynamic account of adaptive behavior based on the Darwinian principle of selection by consequences. The model is a virtual organism based on a genetic algorithm, a class of computational algorithms that instantiate the principles of selection, fitness, reproduction and mutation. The computational model has been thoroughly tested in experiments with a variety of single alternative and concurrent schedules. A number of published reports demonstrate that the model generates patterns of behavior that are quantitatively equivalent to the findings from live organisms. The experiments and analyses in this study assess the behavior of the computational model for evidence of preference change phenomena in environments with rapidly changing reinforcement rate ratios. Molar and molecular effects of behavioral adjustment were consistent with those observed in live organisms. The results of this study provide strong evidence supporting the selectionist account of adaptive behavior.
选择后果的计算模型是一种基于达尔文选择后果原则的适应行为的个体发生动力学解释。该模型是一种基于遗传算法的虚拟生物体，遗传算法是一类实例化选择、适应性、繁殖和突变原则的计算算法。该计算模型已经在各种单一替代和并发方案的实验中得到了彻底的测试。一些已发表的报告表明，该模型生成的行为模式在数量上与活体生物的发现等效。本研究中的实验和分析评估了计算模型在强化率比快速变化的环境中偏好变化现象的行为证据。行为调整的分子和分子效应与在活体生物中观察到的效应一致。本研究的结果为适应性行为的选择主义解释提供了强有力的证据支持。
