Department of Psychology, Emory University, Atlanta, GA 30322, USA.
J Exp Anal Behav. 2010 Sep;94(2):241-60. doi: 10.1901/jeab.2010.94-241.
One theory of behavior dynamics instantiates the idea that behavior evolves in response to selection pressure from the environment in the form of reinforcement. This computational theory implements Darwinian principles of selection, reproduction, and mutation, which operate on a population of potential behaviors by means of a genetic algorithm. The behavior of virtual organisms animated by this theory may be studied in any experimental environment. The evolutionary theory was tested by comparing the steady-state behavior it generated on concurrent schedules to the description of steady state behavior provided by modern matching theory. Ensemble fits of modern matching theory that enforced its constant-k requirement and the parametric identities required by its equations, accounted for large proportions of data variance, left random residuals, and yielded parameter estimates with values and properties similar to those obtained in experiments with live organisms. These results indicate that the dynamics of the evolutionary theory and the statics of modern matching theory together constitute a good candidate for a mechanics of adaptive behavior.
一种行为动力学理论认为，行为是通过遗传算法对潜在行为种群进行选择、繁殖和突变等达尔文原则，对来自环境的强化选择压力做出响应而进化的。通过这种理论驱动的虚拟生物的行为可以在任何实验环境中进行研究。通过将该理论产生的稳态行为与现代匹配理论提供的稳态行为描述进行比较，对进化理论进行了检验。现代匹配理论的整体拟合强制其常数-k 要求和其方程所需的参数恒等式，解释了大量数据方差，留下了随机残差，并产生了与在活体生物实验中获得的类似的值和属性的参数估计。这些结果表明，进化理论的动力学和现代匹配理论的静态共同构成了适应性行为力学的一个很好的候选。
