Department of Behavioral Biology, Division of Psychiatry and Neurosciences, Walter Reed Army Institute of Research, 503 Robert Grant Ave., Silver Spring, Maryland, 20910-7500, USA.
J Exp Anal Behav. 2010 Mar;93(2):247-60. doi: 10.1901/jeab.2010.93-247.
Various theoretical equations have been proposed to predict response rate as a function of the rate of reinforcement. If both the rate and probability of reinforcement are considered, a simple identity, defining equation, or "law" holds. This identity places algebraic constraints on the allowable forms of our mathematical models and can help identify the referents for certain empirical or theoretical coefficients. This identity can be applied to both single and compound schedules of reinforcement, absolute and relative measures, and to local, global and overall rates and probabilities. The rate matching equations of Hernstein and Catania appear to have been approximations to, and to have been evolving toward, one form of this algebraic identity. Estimates of the bias and sensitivity terms in the generalized ratio and logarithmic matching models are here held to be averaging artifacts arising from fitting procedures applied to models that violate or conceal the underlying identities.
已经提出了各种理论方程来预测响应率作为强化率的函数。如果同时考虑强化率和概率,则存在一个简单的恒等式、定义方程或“定律”。该恒等式对我们的数学模型的允许形式施加了代数约束,并有助于确定某些经验或理论系数的参照。该恒等式可应用于强化的单一和复合计划、绝对和相对措施,以及局部、全局和总体比率和概率。赫尔斯坦和卡蒂亚的比率匹配方程似乎是该代数恒等式的一种近似形式,并朝着这种形式演变。这里认为广义比率和对数匹配模型中的偏差和灵敏度项的估计是拟合程序应用于违反或隐藏基础恒等式的模型时产生的平均人为因素。