Pretending Not to Know Reveals a Capacity for Model-Based Self-Simulation
Year: 2026
Type: article
Abstract: Pretending not to know requires appreciating how one would behave without a given piece of knowledge and acting accordingly. Here, two game-based experiments reveal a capacity to simulate decision-making under such counterfactual ignorance. English-speaking adults ( N = 1,001) saw the solution to a game (ship locations in Battleship, the hidden word in Hangman) but attempted to play as though they never had this information. Pretenders accurately mimicked broad aspects of genuine play, including the number of guesses required to reach a solution, as well as subtle patterns, such as the effects of decision uncertainty on decision time. Although peers were unable to detect pretense, statistical analysis and computational modeling uncovered traces of overacting in pretenders’ decisions, suggesting a schematic simulation of their minds. Opening up a new approach to studying self-simulation, our results reveal intricate metacognitive knowledge about decision-making, drawn from a rich—but simplified—internal model of cognition.
Source: Psychological Science
Authors: Matan Mazor, Chaz Firestone, Ian Phillips
Institutions: University of Oxford, Johns Hopkins University
Language: English
Subfield: General Decision Sciences
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,900
OpenAlex ID: W7127430149