Examining resurgence and repetition with the evolutionary theory of behavior dynamics

Further evidence of renewal in automatically maintained behavior

“…However, across distinct context changes the magnitude of renewal (at least in the initial postchange session) does not appear to change with the introduction of subsequent novel context changes. Again, this replicates findings from the relapse literature demonstrating that the magnitude of resurgence does not consistently change with repeated exposure to the conditions that occasion it (Falligant, Hagopian, et al, 2022;Gratz et al, 2019;Volkert et al, 2009;cf., Lieving & Lattal, 2003;Marsteller & St. Peter, 2014;Podlesnik et al, 2020;Redner, 2022).…”

“…Falligant et al, 2021). This is reminiscent of other findings from the relapse literature that have shown that the prevalence of resurgence (a distinct form of relapse) also does not change consistently as a function of repeated exposure to the conditions that occasion it (Falligant, Hagopian, et al, 2022; Lieving & Lattal, 2003; Redner et al, 2022).…”

“…Naturally, practitioners may be inclined to initiate generalization when challenging behavior has necessarily reached low (often zero‐rate) levels. Another option is to calculate the simple difference in the level of challenging behavior during each postchange session relative to the final prechange session (e.g., Falligant, Hagopian, et al, 2022), but here there is an interpretive difficulty with across‐subject heterogeneity in the range of response rates (which could be attributable to differences in the topographies of behavior or recording methods).…”

Application of the evolutionary theory of behavior dynamics to severe challenging behavior

“…in which the target response was emitted, which can be interpreted as the percentage of time with target responding (e.g., Falligant, Hagopian, Laureano, et al, 2022). For both the clinical case and AO, responding differentiated in the attention condition (or simulated attention condition) only, relative to the control condition.…”

Applying the evolutionary theory of behavior dynamics to model the subtypes of automatically reinforced self‐injurious behavior

“…The similarity between the behavior of artificial organisms animated by the ETBD and that of live organisms has been observed with steady‐state (e.g., slight undermatching; McDowell et al, 2008) and dynamic (e.g., momentary effect of successive reinforcers; Kulubekova & McDowell, 2013) phenomena. Moreover, the ETBD has proven useful in modeling other applied phenomena such as resurgence (Falligant, Hagopian, et al, 2022; Falligant, Klapes, et al, 2022), attention deficit hyperactivity disorder (Popa, 2013), and deviant verbal behavior (McDowell & Caron, 2010; McDowell, 2021).…”