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Related Experiment Video

Updated: Jul 28, 2025

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

Expertise increases planning depth in human gameplay.

Bas van Opheusden^1,2, Ionatan Kuperwajs³, Gianni Galbiati^3,4

¹Center for Neural Science and Department of Psychology, New York University, New York, NY, USA. basvanopheusden@gmail.com.

|May 31, 2023

Summary

This summary is machine-generated.

Skilled decision-makers exhibit deeper planning in complex games than novices. Computational models reveal expertise enhances planning depth and memory for game states, advancing understanding of human intelligence.

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The HoneyComb Paradigm for Research on Collective Human Behavior

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Published on: January 19, 2019

Area of Science:

Cognitive Science
Artificial Intelligence
Human Behavior

Background:

Human intelligence is characterized by multi-step future planning.
Debate persists on whether expertise increases planning depth compared to novices.
Traditional research faces limitations due to game complexity or task simplicity.

Purpose of the Study:

Investigate expertise in planning using a complex board game.
Quantify planning depth and its relation to expertise.
Develop and validate a computational cognitive model for planning behavior.

Main Methods:

Utilized a complex board game to allow for deep planning.
Employed model fitting with a heuristic search computational cognitive model.
Validated the model by predicting human choices, response times, and eye movements.
Conducted a Turing test and a reconstruction experiment.

Main Results:

Found robust evidence for increased planning depth with expertise.
Demonstrated that human behavior can be captured by the heuristic search model.
Showed experts possess superior memory and reconstruction abilities for board features.
Confirmed findings across laboratory and large-scale mobile data.

Conclusions:

Expertise in decision-making is associated with significantly deeper planning.
Computational cognitive modeling provides a powerful tool to study human planning.
Complex tasks combined with precise modeling can bridge the gap between human and artificial intelligence research.