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In operant conditioning, the timing of reinforcement is crucial. For animals like rats and cats, immediate reinforcement (within a few seconds) is much more effective than delayed reinforcement. For example, a food reward for a rat needs to follow within 30 seconds of pressing a bar to be effective. 
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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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Related Experiment Video

Updated: Oct 19, 2025

Measuring Delay Discounting in Humans Using an Adjusting Amount Task
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Learning when to wait and when to act.

Michael E Young1, Brian C Howatt

  • 1Kansas State University, Manhattan, KS, USA. michaelyoung@ksu.edu.

Learning & Behavior
|September 21, 2021
PubMed
Summary

People make better decisions about when to act or wait for rewards when they can see the reward growing over time. Direct observation of reward accumulation leads to more optimal choices than static cues.

Area of Science:

  • Cognitive psychology
  • Decision-making research
  • Behavioral economics

Background:

  • Optimizing reward involves complex waiting decisions.
  • Understanding factors influencing waiting behavior is crucial for maximizing reward rates.

Purpose of the Study:

  • To investigate how external cues affect decisions to wait for rewards.
  • To determine optimal strategies for maximizing reward rates in a dynamic environment.

Main Methods:

  • A video-game environment was used to simulate reward accumulation.
  • Participants' waiting decisions were analyzed under varying external cue conditions.

Main Results:

  • Direct observation of reward growth significantly improved decision-making optimality.
Keywords:
Dynamic decision-makingVideo gameWaiting

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  • Dynamic reward information overshadowed static visual cues.

    • Conclusions:

    • Visualizing reward accumulation enhances the ability to make optimal waiting decisions.
    • These findings can inform strategies for improving choice behavior in reward-based tasks.