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Summary
This summary is machine-generated.

Investigating the intentional stance requires distinguishing between natural/artificial and intentional/automaton opponents. This study used functional magnetic resonance imaging (fMRI) to show that perceiving an opponent as intentional activates the mentalizing network.

Keywords:
fMRIhuman–computer interactionintentional stancementalizingsocial interactiontheory of mind

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Philosophy of Mind

Background:

  • The 'intentional stance' is a framework for understanding behavior by attributing mental states.
  • Previous studies confound opponent's nature (human/computer) with intentionality.
  • A novel experimental design is needed to isolate these factors.

Purpose of the Study:

  • To investigate the neural basis of the intentional stance.
  • To orthogonally manipulate opponent embodiment (human/computer) and intentionality (active/passive).
  • To clarify the mentalizing network's role in attributing intentionality.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) study.
  • Participants competed against human or computer opponents.
  • Opponent behavior varied between active responses and passive scripted actions.
  • Orthogonal manipulation of embodiment and intentionality.

Main Results:

  • Perceiving any opponent as intentional activated the mentalizing network (TPJ, temporal pole, aPCC, precuneus).
  • Interacting with humans vs. computers activated a right-lateralized subnetwork (TPJ, aPCC).
  • Interaction effects recruited the left frontal pole, suggesting processing of expectancy violations.

Conclusions:

  • The perception of intentionality alone engages the core mentalizing network.
  • Embodiment influences the specific neural regions involved in social cognition.
  • An orthogonal design is crucial for accurately studying Dennett's intentional stance.