Journal of the experimental analysis of behavior最新文献

The vast majority of studies on discounting have focused on simple delayed outcomes, but most everyday decisions are more complicated. The present experiment focused on one such scenario, an iconic self-control situation in which immediate gains are followed by delayed losses. The same participants were studied in all conditions to permit examination of individual differences in choice behavior using intercorrelations and factor analysis. Consistent with previous research, the hyperboloid model accurately described the form of the discounting function and discounting was not affected by the amount of the delayed loss when it was presented alone. However, replicating other studies, smaller delayed losses were discounted more steeply than larger ones when presented in combination with immediate gains. Exploratory factor analysis revealed two factors, one loading primarily on loss-only conditions and the other loading primarily on conditions involving outcomes that combined gains and losses. These results imply that there are individual differences in how one combines gains and losses and that this characteristic of individual decision making might be an important predictor of decisions in the many everyday choice situations that involve complex outcomes.

The book Teaching Machines: The History of Personalized Learning by Audrey Watters (2021) is of interest to the readers of the Journal of the Experimental Analysis of Behavior because the roots of teaching machines and programmed instruction are in the experimental analysis of behavior. Furthermore, the book addresses use-inspired basic research in education, one of our country's most pressing problems. The review begins with an introduction, followed by an overview of the book chapters, extending the historical, cultural, and behavior-analytic context presented by Watters. Particular emphasis is placed on the work of two not-so-well-known researchers in behavior analysis, Susan Meyer Markle (1928–2008) and Benjamin Wyckoff (1922–2007). The review continues with an assessment of the audience for the book and its contributions to behavior analysis and some perspectives. An overarching theme throughout the review is the importance of learning and teaching the history of behavior analysis.

A challenge in carrying out matching analyses is to deal with undefined log ratios. If any reinforcer or response rate equals zero, the logarithm of the ratio is undefined: data are unsuitable for analyses. There have been some tentative solutions, but they had not been thoroughly investigated. The purpose of this article is to assess the adequacy of five treatments: omit undefined ratios, use full information maximum likelihood, replace undefined ratios by the mean divided by 100, replace them by a constant 1/10, and add the constant .50 to ratios. Based on simulations, the treatments are compared on their estimations of variance accounted for, sensitivity, and bias. The results show that full information maximum likelihood and omiting undefined ratios had the best overall performance, with negligibly biased and more accurate estimates than mean divided by 100, constant 1/10, and constant .50. The study suggests that mean divided by 100, constant 1/10, and constant .50 should be avoided and recommends full information maximum likelihood to deal with undefined log ratios in matching analyses.

The current study examined 98 participants' preferences for five pictorial stimuli. The researchers used a verbal multiple-stimulus-without-replacement (VMSWO) preference assessment with each participant to identify high-preference and low-preference pictorial stimuli. Next, participants viewed each pictorial stimulus in a randomized order on a computer while using a hand dynamometer that measured the amount of force they exerted to increase or maintain the visual clarity of each image. The results indicate that over 75% of participants' force response ranks corresponded with participants' VMSWO high-preference stimuli, VMSWO low-preference stimuli, or both. The results of the current study provide further evidence for the use of conjugate schedules in the assessment of stimulus preference with potential for use as a reinforcer assessment. Implications along with directions for future research and limitations of the findings are discussed.

We present a new methodology to partition different sources of behavior change within a selectionist framework based on the Price equation—the multilevel model of behavioral selection. The multilevel model of behavioral selection provides a theoretical background to describe behavior change in terms of operant selection. Operant selection is formally captured by the covariance-based law of effect and accounts for all changes in individual behavior that involve a covariance between behavior and predictors of evolutionary fitness (e.g., food). In this article, we show how the covariance-based law of effect may be applied to different components of operant behavior (e.g., allocation, speed, and accuracy of responding), thereby providing quantitative estimates for various selection effects affecting behavior change using data from a published learning experiment with pigeons.

Hyperbolic relations between independent and dependent variables are ubiquitous in the experimental analysis of behavior, mentioned in over 150 articles in the Journal of the Experimental Analysis of Behavior. There are two principal forms of hyperbolae: The first describes the relation between response rate and reinforcement rate on variable-interval schedules of reinforcement; it rises asymptotically toward a maximum. The second describes the relation between the current equivalent value of an incentive and its delay or (im)probability; it falls from a maximum toward an asymptote of 0. Where do these come from? What do their parameters mean? How are they related? This article answers the first two questions and addresses the last.

The current experiment assessed whether relating abstract stimuli with familiar pictures by exclusion would produce the formation of a meaningful equivalence class. Ten participants learned conditional discrimination relations with abstract stimuli and established equivalence classes (ABC classes). They then learned DA (D1A1, D2A2, and D3A3) conditional discriminations with written words as D stimuli; two words (D1 and D2) were meaningful stimuli in the participants verbal community (“Dentist” and “Baker”), whereas the third (D3) was a pseudoword (“Tabilu”). In testing trials, participants evidenced derived relations between pictures related preexperimentally to D1 and D2 with the experimental equivalence classes related to D1 and D2. For some participants, the decontextualized stimuli were a set of boat pictures (Condition 1), whereas for others they were a set of miscellaneous pictures (Condition 2). Participants in both conditions successfully matched decontextualized pictures (unrelated to dentist and baker contexts) to all abstract stimuli in the class related to D3 (exclusion responding). In Condition 1 the meaning reported to the word Tabilu was similar across participants, but in Condition 2 participants showed more variations to answer to the meaning of Tabilu. These results suggest that exclusion learning can occur under different stimulus control topographies.

This study examined a conjugate approach for evaluating auditory stimulus preference for 81 participants using force as a continuous response dimension. First, the researchers used a verbal preference assessment to evaluate each participant's preference for listening to five genres of music. This process identified high-preference and low-preference music for each participant. Thereafter, the researchers exposed each participant to the five music genres in a randomized order while using a hand dynamometer to measure their response force to increase the auditory clarity of the music. The results indicate (a) 63% of the participants' high-preference music genres corresponded to the genre for which they exerted the highest mean force and (b) most participants' low-preference music genres corresponded to the genre for which they exerted the lowest mean force. These findings are consistent with those from Davis et al. (2021) and further support using conjugate preparations for measuring the relative value of some stimulus events.

Can simple choice conditional-discrimination choice be accounted for by recent quantitative models of combined stimulus and reinforcer control? In Experiment 1, two sets of five blackout durations, one using shorter intervals and one using longer intervals, conditionally signaled which subsequent choice response might provide food. In seven conditions, the distribution of blackout durations across the sets was varied. An updated version of the generalization-across-dimensions model nicely described the way that choice changed across durations. In Experiment 2, just two blackout durations acted as the conditional stimuli and the durations were varied over 10 conditions. The parameters of the model obtained in Experiment 1 failed adequately to predict choice in Experiment 2, but the model again fitted the data nicely. The failure to predict the Experiment 2 data from the Experiment 1 parameters occurred because in Experiment 1 differential control by reinforcer locations progressively decreased with blackout durations, whereas in Experiment 2 this control remained constant. These experiments extend the ability of the model to describe data from procedures based on concurrent schedules in which reinforcer ratios reverse at fixed times to those from conditional-discrimination procedures. Further research is needed to understand why control by reinforcer location differed between the two experiments.