1994
DOI: 10.1037/0097-7403.20.1.79
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Kinetics of matching.

Abstract: Rats responded on concurrent variable interval schedules of brain stimulation reward in 2-trial sessions. Between trials, there was a 16-fold reversal in the relative rate of reward. In successive, narrow time windows, the authors compared the ratio of the times spent on the 2 levers to the ratio of the rewards received. Time-allocation ratios tracked wide, random fluctuations in the reward ratio. The adjustment to the midsession reversal in relative rate of reward was largely completed within 1 interreward in… Show more

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Cited by 65 publications
(88 citation statements)
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References 35 publications
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“…The parameters of rats' visits to these two locations are unaffected by these large, purely random reward-byreward fluctuations in the income flows-another example of behavioral stasis. However, when the rate parameters for the two exponentials change frequently, subjects (rats and mice) respond to each change in the income flows by changing the parameters of their visits quickly and abruptly (Mark and Gallistel 1994). These results and others of a similar nature imply that stochastic models are updated only when the experiences they encode require an update.…”
Section: Assessing Model Viabilitymentioning
confidence: 76%
“…The parameters of rats' visits to these two locations are unaffected by these large, purely random reward-byreward fluctuations in the income flows-another example of behavioral stasis. However, when the rate parameters for the two exponentials change frequently, subjects (rats and mice) respond to each change in the income flows by changing the parameters of their visits quickly and abruptly (Mark and Gallistel 1994). These results and others of a similar nature imply that stochastic models are updated only when the experiences they encode require an update.…”
Section: Assessing Model Viabilitymentioning
confidence: 76%
“…Assessing behavior in reference to optimality may therefore lead to inaccurate conclusions concerning risk preference or aversion. To account for this variance while modeling risk-neutral behavior we used a variation of the Matching Law, an equation originally formulated to account for the response allocation of animals under concurrent free operant conditions (31), which has been extended to a variety of paradigms and species (32)(33)(34)(35)(36). Matching Law posits that under free operant conditions a subject allocates responses in a proportion that matches the relative reinforcement of the available options.…”
Section: Instrumental Trainingmentioning
confidence: 99%
“…Ifsubjects sample a memory for the VI:40 in red and a memory for the VI:40 in green, these two samples are, on average, equally likely to favor either alternative and, hence, the matching level should be indifference. On the other hand, as Williams (1994) and Mark and Gallistel (1994) have pointed out, it may be that it is the probability of switching out of a schedule that is the controlling variable for preference here. Subjects may respond in the probe tests as though the alternative were the original training alternative.…”
mentioning
confidence: 99%
“…For example, meloriation (Herrnstein & Vaughan, 1980;Vaughan, 1985) and "momentary maximizing" (Shimp, 1969) argue that subjects choose the better of two local rates or probabilities of reinforcement, and this results in overall matching. Rather than explaining it, other, "molar" matching accounts simply assume matching (e.g., Baum & Rachlin, 1969; Gallistel, 1990;Mark & Gallistel, 1994). …”
mentioning
confidence: 99%