Journal of the experimental analysis of behavior最新文献

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.

Efficient methods for assessing the relative aversiveness of stimuli are sparse and underresearched. Having access to efficient procedures that can identify aversive stimuli would benefit researchers and practitioners alike. Across three experiments, 13 participants helped to pilot, refine, and test two approaches to identifying negative reinforcers. The first experiment presented two conditions, one in which computerized button pressing started or stopped one of two recorded infant cries (or silence, when the control button was selected). Choices were presented either in a modified observing-response procedure (i.e., simultaneous observing) or in a modified progressive-ratio procedure (i.e., committed concurrent progressive ratio; CCPR). Results were favorable though not conclusive on their own. A second experiment, using more distinct stimuli (i.e., one likely aversive, one likely not aversive), replicated the first, and clearer results emerged. Finally, the third experiment tested the stimuli from the second experiment in a CCPR arrangement where sound was terminated contingent on responding and idiosyncratic negative reinforcement hierarchies emerged. The utility of these two procedures is discussed, and future work that addresses the limitations is outlined.

Although scientific endeavors strive to be objective, they are the work of individuals whose unique perspectives and experiences influence their research and interpretations of the world and data. Much has been said and written lately about the need to embed cultural responsiveness in behavior analysis and the need to enhance diversity in the field. In fact, similar conversations are taking place in many areas of science. Despite the current buzz, many behavioral researchers may be left wondering what they can do or whether it is incumbent on them to act. For the field of behavior analysis to move toward adopting the values of diversity, equity, inclusion, and access, members of the scientific community must actively engage in behaviors that foster inclusive and safe learning environments for students, engage in collaborative work, and incorporate culturally responsive research and mentorship practices. This article will describe some current practices, showcase exemplars of culturally responsive research and mentorship, and provide resources for researchers and mentors.

We developed and examined a laboratory preparation with adult humans that pits shorter term avoidance over longer term positive reinforcement and may serve as a useful laboratory functional analogue of problematic behavior. Participants were exposed to choices between (1) avoiding an aversive sound and acquiring no money or (2) listening to an aversive sound for a set duration and then receiving money. The first choice, avoiding an aversive sound and acquiring no money, was conceptualized as immediate negative reinforcement and no positive reinforcement, whereas the latter choice, listening to an aversive sound for a set duration and then receiving money, was conceptualized as a potential positive punisher paired with a larger later positive reinforcer. We manipulated the duration of the sound and the magnitude of money to identify the point at which individual participants' choices changed from avoiding the sound to choosing the sound plus money. As the sound duration increased, the choice of listening to the sound and receiving money decreased. Similar functions were observed with two different monetary magnitudes. The model has potential applicability to real-world problems such as smoking, addiction, gambling, anxiety disorders, and other impulse control disorders.

Resurgence refers to the relapse of a target behavior following the worsening of a source of alternative reinforcement that was made available during response elimination. Most laboratory analyses of resurgence have used a combination of extinction and alternative reinforcement to reduce target behavior. In contingency-management treatments for alcohol use disorder, however, alcohol use is not placed on extinction. Instead, participants voluntarily abstain from alcohol use to access nondrug alternative reinforcers. Inasmuch, additional laboratory research on resurgence following voluntary abstinence is warranted. The present experiment evaluated resurgence of rats' ethanol seeking following voluntary abstinence produced by differential reinforcement of other behavior (DRO). Lever pressing produced ethanol reinforcers during baseline phases. During DRO phases, lever pressing continued to produce ethanol and food reinforcers were delivered according to resetting DRO schedules. Ethanol and food reinforcers were suspended during resurgence test phases to evaluate resurgence following voluntary abstinence. Lever pressing was elevated during baseline phases and occurred at near-zero rates during DRO phases. During the resurgence test phases, lever pressing increased, despite that it no longer produced ethanol. The procedure introduced here may help researchers better understand the variables that affect voluntary abstinence from ethanol seeking and resurgence following voluntary abstinence.

In this meta-analysis, we describe a benchmark value of delay and probability discounting reliability and stability that might be used to (a) evaluate the meaningfulness of clinically achieved changes in discounting and (b) support the role of discounting as a valid and enduring measure of intertemporal choice. We examined test–retest reliability, stability effect sizes (d_z; Cohen, 1992), and relevant moderators across 30 publications comprising 39 independent samples and 262 measures of discounting, identified via a systematic review of PsychInfo, PubMed, and Google Scholar databases. We calculated omnibus effect-size estimates and evaluated the role of proposed moderators using a robust variance estimation meta-regression method. The meta-regression output reflected modest test–retest reliability, r = .670, p < .001, 95% CI [.618, .716]. Discounting was most reliable when measured in the context of temporal constraints, in adult respondents, when using money as a medium, and when reassessed within 1 month. Testing also suggested acceptable stability via nonsignificant and small changes in effect magnitude over time, d_z = 0.048, p = .31, 95% CI [−0.051, 0.146]. Clinicians and researchers seeking to measure discounting can consider the contexts when reliability is maximized for specific cases.