How do people learn to allocate resources? Comparing two learning theories

Area of Science:

• Cognitive Psychology
• Behavioral Economics
• Decision Science

Background:

• Understanding how individuals learn to allocate resources is crucial in various fields, including economics and psychology.
• Existing models of learning offer different mechanisms for how past experiences influence future decisions.

Purpose of the Study:

• To compare two major learning models: a global search model and a local adaptation model.
• To determine which model better explains human learning in resource allocation tasks.

Main Methods:

• Two studies were conducted where participants repeatedly allocated a capital resource among three financial assets.
• The global search model assumes probabilistic allocation based on the entire history of past decisions.
• The local adaptation model assumes allocation based on comparing the current decision to the single most successful past decision.

Main Results:

• Participants demonstrated significant learning effects in resource allocation over time.
• However, the optimal allocation strategy was frequently not achieved.
• Model calibration from Study 1 allowed for a priori predictions tested in Study 2.

Conclusions:

• The local adaptation model provides a superior explanation for learning in resource allocation compared to the global search model.
• This suggests that individuals tend to simplify their learning process by focusing on recent, successful outcomes rather than a comprehensive analysis of all past data.