The concept of rule-governed behavior or instructional control has been widely recognized for many decades within the behavior-analytic literature. It has also been argued that the human capacity to formulate and follow increasingly complex rules may undermine sensitivity to direct contingencies of reinforcement, and that excessive reliance upon rules may be an important variable in human psychological suffering. Although the concept of rules would appear to have been relatively useful within behavior analysis, it seems wise from time to time to reflect upon the utility of even well-established concepts within a scientific discipline. Doing so may be particularly important if it begins to emerge that the existing concept does not readily orient researchers toward potentially important variables associated with that very concept. The primary purpose of this article is to engage in this reflection. In particular, we will focus on the link that has been made between rule-governed behavior and derived relational responding, and consider the extent to which it might be useful to supplement talk of rules or instructions with terms that refer to the dynamics of derived relational responding.

The effective management of pain is a longstanding public health concern. Although opioids have been frontline analgesics for decades, they also have well-known undesirable effects that limit their clinical utility, such as abuse liability and respiratory depression. The failure to develop better analgesics has, in some ways, contributed to the escalating opioid epidemic that has claimed tens of thousands of lives and has cost hundreds of billions of dollars in health-care expenses. A paradigm shift is needed in the pharmacotherapy of pain management that will require extensive efforts throughout biomedical science. The purpose of the present review is to highlight the critical role of the behavioral scientist to devise improved translational models of pain for drug development. Despite high heterogeneity of painful conditions that involve cortical-dependent pain processing, current models often feature an overreliance on simple reflex-based measures and an emphasis on the absence, rather than presence, of behavior as evidence of analgesic efficacy. Novel approaches should focus on the restoration of operant and other CNS-mediated behavior under painful conditions.

When both smaller-sooner (SS) and larger-later (LL) rewards are temporally distal, individuals frequently prefer the LL. However, because both outcomes become proximal, individuals frequently switch to preferring the SS. These preference reversals are predicted by hyperbolic delay discounting, and may model the essential challenge of self-control. Using smokers, a population known to have high rates of delay discounting, and thus more vulnerable to preference reversals, this pilot study sought to examine soft commitment as a strategy that may prevent preference reversals. Eleven smokers were assigned to an experimental commitment condition, operationalized as 3 weeks of daily commitment trials indicating preference between an SS and LL. Ten smokers were assigned to a control commitment condition. These 3 weeks were followed by 8 days of daily choice trials indicating preference between an impending SS and LL, for both experimental and control conditions. Though no overall difference of preference was observed between groups during the choice trials, hierarchical linear modeling revealed a decrease in preference for the LL over time by the control group (e.g., increasing trend of preference reversals) but no changes by the experimental group. This pilot study provides an initial indication that soft commitment can facilitate choice persistence and prevent preference reversals.

We propose that the two dominant culture institutions (individualist and collectivist) are neither learned nor cognitively represented by the people who practice them. Instead, they exist as group-level payoff structures that reflect differential distributions of child attachment patterns within a society. Individualist societies reflect an overrepresentation of insecure-avoidant attachments and collectivist societies reflect an overrepresentation of insecure-anxious attachments. Moreover, attachment patterns are embodied rather than representational-schedule-induced rather than incrementally shaped or verbally learned. If attachment patterns are schedule-induced, the prospects are poorer for effecting cultural change through economic incentives or informational campaigns (top-down). Rather, cultural practices will be responsive to changes in family practices-to the extent they affect attachment patterns (bottom-up). For example, if breastfeeding rates decline or the workforce participation of women increases, a society will become more individualist and less collectivist. That is because those practices increase avoidant as compared to anxious attachments. Moreover, because insecurely attached children are behaviorally less flexible than are securely attached children, the former have a greater impact on cultural practices than do the latter.

Our understanding and effectiveness in treating addiction is not fully adequate. Therefore, perhaps developing a pragmatic theory for identifying novel determinants and potential interventions is needed. The experimental medicine approach, derived from Claude Bernard, proposes a methodology for inductive theory development and suggests interventions directed at targets closely aligned with the underlying mechanisms of the disorder. The steps of theory development under this approach are intended to (1) identify an intervention target; (2) develop assays to verify target measurement; (3) engage the target via experiment or intervention; and (4) test the degree to which target engagement produces other therapeutically useful changes in the disorder. In this article, we review these steps in detail using an example from our work. That is, shortened temporal windows (target) is frequently observed among those who are addicted. Delay discounting is an assay used to measure that target. We and others have demonstrated manipulation of the target, delay discounting, is associated with changing the drug valuation among those with addiction. We conclude with a culmination of the experimental medicine approach by proposing a recently developed hypothesis of substance use disorder, Reinforcer Pathology 2.0.

The context of psychotherapy involves ethical, theoretical, and technical matters regarding limits and possibilities to clinical practice. Some of these matters concern values and their importance for clinical interventions. Given the central role that the concept of values seems to have in current behavioral therapeutic models, this article intends to analyze and discuss perspectives regarding this concept as presented by authors such as Skinner, Leigland, Plumb, Wilson, and Harris. It is argued that the definition of values should be described using low-level terms, so that it may generate basic and applied research without losing its relevance to the clinical setting. We propose that values are stable and comprehensive qualities of behaving, described by the subject in augmental rules that establish a positive reinforcing function for his/her own described behavior. Further utility of such a definition involves its precision and focus on aspects that are under direct influence of the client.

Selection by consequences is a causal mode that operates across multiple levels of analysis including in biological organisms via natural selection, and at the levels of individual (via operant contingencies) and cultural behaviors (Skinner, 1953, Science, 213, 501-504, 1981, 1988, 1989; Glenn in The Behavior Analyst, 11(2), 161-179, 1988, The Behavior Analyst, 27(2), 133-151, 2004). The common dynamics of systems within which selection by consequences operates has led to attempts to develop an interdisciplinary understanding of adaptation. The metacontingency (Glenn in The Behavior Analyst, 11(2), 161-179, 1988, The Behavior Analyst, 27(2), 133-151, 2004) has been proposed as a process of cultural-level selection, but this proposal has been challenged in several critiques. First, several theorists have suggested that the metacontingency addresses within-groups processes of selection that have already been addressed by more parsimonious theories. Second, principles of self-organizing systems, should they apply within cultural settings, may significantly limit the efficacy of the metacontingency as a construct of cultural analysis. More recently, additional processes of selection, the selection of cultures and cultural selection (Couto & Sandaker in Behavior & Social Issues, 25, 54-60, 2016) have been suggested as between-groups processes of selection, operating at a level higher than operant selection, and fulfilling the role of cultural-level selection as proposed by Skinner. In the present article, these new processes will be considered in light of principles of self-organization and the conditions within which self-organization may occur. The culturant hypercycle, the operant hypercycle, and interactions between the two (culturo-behavioral hypercycles) are defined as self-organizing processes that help to explain how the selection of cultures and cultural selection may occur. Further, the theory of self-organizing systems is used to explain how self-organizing dynamics may emerge via metacontingencies, reintegrating the culturant and metacontingent selection into an expanded model explaining processes of cultural evolution.

A reliance on null hypothesis significance testing (NHST) and misinterpretations of its results are thought to contribute to the replication crisis while impeding the development of a cumulative science. One solution is a data-analytic approach called Information-Theoretic (I-T) Model Selection, which builds upon Maximum Likelihood estimates. In the I-T approach, the scientist examines a set of candidate models and determines for each one the probability that it is the closer to the truth than all others in the set. Although the theoretical development is subtle, the implementation of I-T analysis is straightforward. Models are sorted according to the probability that they are the best in light of the data collected. It encourages the examination of multiple models, something investigators desire and that NHST discourages. This article is structured to address two objectives. The first is to illustrate the application of I-T data analysis to data from a virtual experiment. A noisy delay-discounting data set is generated and seven quantitative models are examined. In the illustration, it is demonstrated that it is not necessary to know the "truth" is to identify the one that is closest to it and that the most likely models conform to the model that generated the data. Second, we examine claims made by advocates of the I-T approach using Monte Carlo simulations in which 10,000 different data sets are generated and analyzed. The simulations showed that 1) the probabilities associated with each model returned by the single virtual experiment approximated those that resulted from the simulations, 2) models that were deemed close to the truth produced the most precise parameter estimates, and 3) adding a single replicate sharpens the ability to identify the most probable model.

Delay discounting describes the tendency to devalue delayed consequences or future prospects. The degree to which an individual discounts delayed events appears trait-like in that it is stable over time and across functionally similar situations. Steeply discounting delayed rewards is correlated with most substance-use disorders, the severity of these disorders, rates of relapse to drug use, and a host of other maladaptive decisions impacting human health. Longitudinal data suggest steep delay discounting and high levels of impulsive choice are predictive of subsequent drug taking, which suggests (though does not establish) that reducing delay discounting could have a preventive health-promoting effect. Experimental manipulations that produce momentary or long-lasting reductions in delay discounting or impulsive choice are reviewed, and behavioral mechanisms that may underlie these effects are discussed. Shortcomings of each manipulation technique are discussed and areas for future research are identified. While much work remains, it is clear that impulsive decision-making can be reduced, despite its otherwise trait-like qualities. Such findings invite technique refinement, translational research, and hope.

Organizational Behavior Management (OBM) has widely demonstrated its utility for improving performance in organizations. Yet, OBM researchers and practitioners have called for developing more comprehensive and systemic approaches for creating long-term improvements and improving marketability. A successful program in ABA, called the Teaching-Family Model, may provide useful ideas for OBM. Lessons from the development of the Teaching-Family Model suggest that OBM may benefit from further research on the components of OBM programs to clarify those that are essential, identifying strategies to engage and coach leaders and sustain the program, and creating a supportive system to establish and maintain high fidelity use of the programs as they are scaled and disseminated. Ideas for next steps and future research are discussed.