منابع مشابه
Suboptimal choice in a percentage-reinforcement procedure: effects of signal condition and terminal-link length.
Pigeons' choice between reliable (100%) and unreliable (50%) reinforcement was studied using a concurrent-chains procedure. Initial links were fixed-ratio 1 schedules, and terminal links were equal fixed-time schedules. The duration of the terminal links was varied across conditions. The terminal link on the reliable side always ended in food; the terminal link on the unreliable side ended with...
متن کاملChoice between reliable and unreliable outcomes: mixed percentage-reinforcement in concurrent chains.
Pigeons' choices between alternatives that provided different percentages of reinforcement in mixed schedules were studied using the concurrent-chains procedure. In Experiment 1, the alternatives were terminal-link schedules that were equal in delay and magnitude of reinforcement, but that provided different percentages of reinforcement, with one schedule providing, reinforcement twice as relia...
متن کاملFood reinforcement, energy intake, and macronutrient choice.
BACKGROUND Food is a powerful reinforcer that motivates people to eat. The relative reinforcing value of food (RRV(food)) is associated with obesity and energy intake and interacts with impulsivity to predict energy intake. OBJECTIVE How RRV(food) is related to macronutrient choice in ad libitum eating tasks in humans has not been studied; however, animal research suggests that sugar or simpl...
متن کاملContiguity and conditioned reinforcement in probabilistic choice.
In a baseline condition, pigeons chose between an alternative that always provided food following a 30-s delay (100% reinforcement) and an alternative that provided food half of the time and blackout half of the time following 30-s delays (50% reinforcement). The different outcomes were signaled by different-colored keylights. On average, each alternative was chosen approximately equally often,...
متن کاملInverse Reinforcement Learning with Conditional Choice Probabilities
We make an important connection to existing results in econometrics to describe an alternative formulation of inverse reinforcement learning (IRL). In particular, we describe an algorithm using Conditional Choice Probabilities (CCP), which are maximum likelihood estimates of the policy estimated from expert demonstrations, to solve the IRL problem. Using the language of structural econometrics,...
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ژورنال
عنوان ژورنال: Journal of the Experimental Analysis of Behavior
سال: 1979
ISSN: 0022-5002
DOI: 10.1901/jeab.1979.32-335