Do humans have two systems to track beliefs and belief-like states?

Area of Science:

• Cognitive Science
• Developmental Psychology
• Comparative Psychology

Background:

• Human belief reasoning capacity lacks consensus, with conflicting data from children, infants, and nonhuman animals.
• Children under 4 fail explicit belief tests, while infants pass false-belief tasks, and animals show complex social behavior but fail belief tests.
• Adult belief reasoning is crucial for social interaction but cognitively demanding, even in fluent users.

Purpose of the Study:

• To reconcile conflicting findings on belief reasoning across different age groups and species.
• To propose a dual-capacity model explaining performance on belief reasoning tasks.
• To investigate the cognitive mechanisms underlying belief attribution and theory of mind.

Main Methods:

• Comparative analysis of performance on belief reasoning and false-belief tasks across human infants, children, adults, and nonhuman animals.
• Drawing parallels with number cognition research to interpret contrasting results.
• Theoretical interpretation of findings through a proposed dual-capacity model.

Main Results:

• Infants and nonhuman animals may succeed on some belief tasks due to an efficient, inflexible belief-state tracking system.
• Human children's developmental trajectory reveals a later emergence of flexible, cognitively demanding theory-of-mind abilities.
• Adults exhibit both the basic belief-tracking and the advanced theory-of-mind systems, with the latter being more resource-intensive.

Conclusions:

• A dual-process framework, involving a basic belief-tracking system and an advanced theory-of-mind, explains diverse findings in belief reasoning.
• The efficient but inflexible system in infants and animals contrasts with the flexible but demanding human theory-of-mind.
• Understanding these distinct capacities is key to characterizing the evolution and development of social cognition.