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在动态环境中发展和维护选择。

Development and maintenance of choice in a dynamic environment.

机构信息

Department of Psychology, Utah State University, Logan, Utah 84322, USA.

出版信息

J Exp Anal Behav. 2010 Sep;94(2):175-95. doi: 10.1901/jeab.2010.94-175.

Abstract

Four pigeons were exposed to a concurrent procedure similar to that used by Davison, Baum, and colleagues (e.g., Davison & Baum, 2000, 2006) in which seven components were arranged in a mixed schedule, and each programmed a different left∶right reinforcer ratio (1∶27, 1∶9, 1∶3, 1∶1, 3∶1, 9∶1, 27∶1). Components within each session were presented randomly, lasted for 10 reinforcers each, and were separated by 10-s blackouts. These conditions were in effect for 100 sessions. When data were aggregated over Sessions 16-50, the present results were similar to those reported by Davison, Baum, and colleagues: (a) preference adjusted rapidly (i.e., sensitivity to reinforcement increased) within components; (b) preference for a given alternative increased with successive reinforcers delivered via that alternative (continuations), but was substantially attenuated following a reinforcer on the other alternative (a discontinuation); and (c) food deliveries produced preference pulses (immediate, local, increases in preference for the just-reinforced alternative). The same analyses were conducted across 10-session blocks for Sessions 1-100. In general, the basic structure of choice revealed by analyses of data from Sessions 16-50 was preserved at a smaller level of aggregation (10 sessions), and it developed rapidly (within the first 10 sessions). Some characteristics of choice, however, changed systematically across sessions. For example, effects of successive reinforcers within a component tended to increase across sessions, as did the magnitude and length of the preference pulses. Thus, models of choice under these conditions may need to take into account variations in behavior allocation that are not captured completely when data are aggregated over large numbers of sessions.

摘要

四只鸽子接受了类似于 Davison、Baum 和同事(例如,Davison & Baum,2000 年,2006 年)使用的并发程序,其中七个组件以混合时间表排列,每个组件编程不同的左:右强化物比例(1:27、1:9、1:3、1:1、3:1、9:1、27:1)。每个会话中的组件都是随机呈现的,每个组件持续 10 个强化物,每个组件之间有 10 秒的黑屏。这些条件持续了 100 次。当数据在第 16-50 次会议中汇总时,目前的结果与 Davison、Baum 和同事报告的结果相似:(a)在组件内快速调整偏好(即,对强化的敏感性增加);(b)随着通过给定替代物交付的连续强化物(延续),对给定替代物的偏好增加,但在另一种替代物上的强化物之后会大大减弱(中止);(c)食物交付产生偏好脉冲(立即,局部,对刚刚强化的替代物的偏好增加)。在第 1-100 次会议期间,还对 10 次会议块进行了相同的分析。一般来说,在较小的聚合水平(10 次会议)上保留了分析第 16-50 次会议数据揭示的选择基本结构,并且它发展迅速(在前 10 次会议内)。然而,选择的某些特征会在整个会议期间系统地变化。例如,组件内连续强化物的效果往往会随着会议次数的增加而增加,偏好脉冲的幅度和长度也是如此。因此,在这些条件下,选择模型可能需要考虑行为分配的变化,而这些变化在汇总大量会议的数据时无法完全捕获。

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本文引用的文献

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