ArticlePerspectives on behavior science2021
Modeling Subtypes of Automatically Reinforced Self-Injurious Behavior with the Evolutionary Theory of Behavior Dynamics.
Article in Perspectives on behavior science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- An Evolutionary Complex Systems Theory of Adaptive Behavior.Perspectives on behavior science · 2026Article
- A computational perspective on rapid reacquisition: Phenotype-specific effects of reinforcement history.Behavioural processes · 2025Article
- The Evolutionary Theory of Behavior Dynamics Predicts Delay Discounting.Perspectives on behavior science · 2025Article
- Creating and Studying the Behavior of Artificial Organisms Animated by an Evolutionary Theory of Behavior Dynamics.Perspectives on behavior science · 2023Article
- Application of the evolutionary theory of behavior dynamics to severe challenging behavior.Journal of applied behavior analysisArticle
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Authors and funding
2 authors.
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Abstract
The subtypes of automatically reinforced self-injurious behavior (ASIB) delineated by Hagopian and colleagues (Hagopian et al., 2015; 2017) demonstrated how functional-analysis (FA) outcomes may predict the efficacy of various treatments. However, the mechanisms underlying the different patterns of responding obtained during FAs and corresponding differences in treatment efficacy have remained unclear. A central cause of this lack of clarity is that some proposed mechanisms, such as differences in the reinforcing efficacy of the products of ASIB, are difficult to manipulate. One solution may be to model subtypes of ASIB using mathematical models of behavior in which all aspects of the behavior can be controlled. In the current study, we used the evolutionary theory of behavior dynamics (ETBD; McDowell, 2019) to model the subtypes of ASIB, evaluate predictions of treatment efficacy, and replicate recent research aiming to test explanations for subtype differences. Implications for future research related to ASIB are discussed.
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