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A theoretical framework reveals perceptual units of change in behavior, indicating new strategies for training and machine intelligence.
Traditional operant models define behavioral change through external contingencies, with the three-term contingency (antecedent–behavior–consequence) as the observable functional unit [1,8,9,10]. This paper argues that the true causal unit is perceptual: pairings of significance (or their absence) as detected and valued by the organism relative to its self-interest and current motivational state. These pairings constitute the smallest perceptual events of operant behavioral change — the smallest perceptual events at which selection actually occurs. Contingent antecedents carry forward only those perceptual histories deemed valuable via motive-modulated gating. This resolves the temporal puzzle of consequence influence: consequences cannot retroactively alter past behavior, but the memory of a significant pairing is carried forward as a contingent antecedent, becoming a motivational factor in the next decision cycle. This carry-forward process, and the comparison between predicted and actual outcomes that drives it, constitutes the congruence verification step — Step 6 of the six-step process. Differential reinforcement’s three methods demonstrate how trainers manipulate perceived reward and aversive value to shape pairings of significance. Emotional reframing is identified as a named Guided Behavioral Development procedure — the deliberate redesign of contingent antecedent relationships to revise RSC classifications from avoid to pursue through managed motivational state. Empirical support comes from Guided Behavioral Development achieving 100% confirmed survival at three-plus years in blue-and-yellow macaws (Brazil, 2022) [5] and ≥72% first-year survival in Amazon parrots (Colombia, 2023) [6]. Implications extend to aligned machine intelligence design [22].
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