Related Experiment Video
Updated: Apr 28, 2026

08:24
The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
Published on: August 25, 2023
1.4K
Momentary and global maximizing
1Psychology Dept., Washington State Univ., Pullman, WA 99164-4830 USA.
Behavioural Processes
|June 5, 2014
Summary
This study investigated how individuals maximize rewards under different reinforcement schedules. Results indicate a tendency to favor options with higher immediate reward probabilities, aligning with momentary maximization strategies.
Area of Science:
- Behavioral psychology
- Operant conditioning
- Decision-making under uncertainty
Background:
- Understanding reinforcement schedules is crucial for explaining animal and human behavior.
- Concurrent variable-interval schedules present complex choice scenarios.
- Previous research has explored optimal strategies for maximizing reinforcement.
Purpose of the Study:
- To examine response allocation in adult humans under concurrent variable-interval reinforcement schedules.
- To determine if subjects adopt strategies to maximize overall reinforcement.
- To investigate the relationship between reinforcement probability and response allocation.
Main Methods:
- Four adult female subjects participated.
- Subjects operated a computer console with three concurrent variable-interval schedules.
- Instructions focused on maximizing reinforcers without specifying a strategy.
Main Results:
- Three out of four subjects allocated more responses to the schedule with the higher reinforcement probability.
- Subjects' behavior approximated a momentary maximizing strategy.
- Individual differences in response allocation were observed.
Conclusions:
- Human subjects may employ momentary maximization strategies when attempting to maximize overall reinforcement.
- Behavior under concurrent schedules can be influenced by immediate reward probabilities.
- Further research is needed to explore factors influencing strategy selection.
Related Concept Videos
Absolute and Local Extreme Values
229
The highest and lowest values of a function, relative to a reference axis, are known as extreme values. These include absolute maximum and absolute minimum values, which represent the highest and lowest points the function reaches across its entire domain. Within a restricted portion of the function, the highest and lowest values are referred to as local maximum and local minimum values, respectively.Periodic functions, such as sine and cosine, show extreme values at infinitely many points due...
229
Methods of Medium Optimization
69
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
69
Optimal Foraging
11.8K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
11.8K
Self-Discrepancy Theory
17.9K
One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.
17.9K
Optimization Problems
217
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
217
Solution Equilibrium and Saturation
16.8K
Imagine adding a small amount of sugar to a glass of water, stirring until all the sugar has dissolved, and then adding a bit more. You can repeat this process until the sugar concentration of the solution reaches its natural limit, a limit determined primarily by the relative strengths of the solute-solute, solute-solvent, and solvent-solvent attractive forces. You can be certain that you have reached this limit because, no matter how long you stir the solution, undissolved sugar remains. The...
16.8K

