“…For example, AMAN is equivalent to other models that use a summed error term (e.g., Rescorla & Wagner, 1972) as the means by which they explain the following keystone phenomena: overshadowing (weaker conditioning to a CS when it is conditioned in compound with another stimulus than when it is conditioned in isolation); blocking (weaker conditioning to a CS when it is conditioned in compound with a previously conditioned CS than when it is conditioned in compound with a neutral stimulus); unblocking by increasing the magnitude of the US (Kamin, 1968); the US preexposure effect (weaker conditioning when a US has been repeatedly presented on its own, prior to CS-US pairings; Randich & LoLordo, 1979;Wagner, 1969); and relative validity (superior conditioning to a CS when it is conditioned in compound with a stimulus that is less well correlated with the US; Wagner, Logan, Haberlandt, & Price, 1968). As such, it should not be surprising that the model accounts for both the decrease in responding when two separately conditioned CSs are conditioned in compound ("overexpectation") and the facilitation of learning about a CS when it is paired with a conditioned inhibitor during conditioning ("superconditioning") (Garfield & McNally, 2009;Lattal, 1998;Pearce & Redhead, 1995;Rescorla, 1971). The model can also account for faster learning with longer intertrial intervals (Gibbon, Baldock, Locurto, Gold, & Terrace, 1977;Spence & Norris, 1950) in terms of differential extinction of the context over the intertrial interval, thereby permitting faster discrimination between the presence and absence of the CS.…”