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A Runs-Test Algorithm: Contingent Reinforcement and Response Run Structures

机译:运行测试算法:偶然强化和响应运行结构

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摘要

Four rats' choices between two levers were differentially reinforced using a runs-test algorithm. On each trial, a runs-test score was calculated based on the last 20 choices. In Experiment 1, the onset of stimulus lights cued when the runs score was smaller than criterion. Following cuing, the correct choice was occasionally reinforced with food, and the incorrect choice resulted in a blackout. Results indicated that this contingency reduced sequential dependencies among successive choice responses. With one exception, subjects' choice rule was well described as biased coin flipping. In Experiment 2, cuing was removed and the reinforcement criterion was changed to a percentile score based on the last 20 reinforced responses. The results replicated those of Experiment 1 in successfully eliminating first-order dependencies in all subjects. For 2 subjects, choice allocation was approximately consistent with nonbiased coin flipping. These results suggest that sequential dependencies may be a function of reinforcement contingency.
机译:使用运行测试算法,以差异方式加强了四只大鼠在两个杠杆之间的选择。在每个试验中,根据最近的20个选择来计算运行测试得分。在实验1中,当跑步得分小于标准时,刺激光的出现提示。提示之后,偶尔的食物会增加正确的选择,而错误的选择会导致停电。结果表明,这种偶然性减少了连续选择响应之间的顺序依赖性。除了一个例外,受试者的选择规则被很好地描述为有偏见的硬币翻转。在实验2中,删除了提示,并且根据最近的20次增强响应将增强标准更改为百分分数。该结果重复了实验1的结果,成功消除了所有受试者的一阶依赖性。对于2名受试者,选择分配与无偏硬币翻转大致一致。这些结果表明,顺序依存关系可能是增强意外事件的函数。

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