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Related Experiment Videos

Goal-based action selection and utility-based action bias.

Kenji Matsumoto1, Madoka Matsumoto, Hiroshi Abe

  • 1Cognitive Brain Mapping Laboratory, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama, Japan. matsumot@riken.jp

Neural Networks : the Official Journal of the International Neural Network Society
|September 1, 2006
PubMed
Summary
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Artificial intelligence reveals two decision systems: goal-based action selection and utility-based action bias. The medial prefrontal cortex and striatum support these systems, with dominance shifting based on environmental experience.

Area of Science:

  • Neuroscience
  • Artificial Intelligence
  • Cognitive Science

Background:

  • Goal-based and utility-based agents represent distinct decision-making paradigms in artificial intelligence.
  • These agents select actions to achieve desired outcomes through different mechanisms.

Purpose of the Study:

  • To explore the neural underpinnings of goal-based and utility-based action selection.
  • To investigate the dynamic interplay and dominance shifts between these two decision systems in varying environments.

Main Methods:

  • The study conceptually models decision-making processes using artificial intelligence agents.
  • It proposes neural correlates for each decision system: medial prefrontal cortex for goal-based selection and striatum for utility-based bias.
  • The research examines how environmental novelty and learned utilities influence the dominance of each system.

Related Experiment Videos

Main Results:

  • Goal-based action selection is linked to the medial prefrontal cortex, while utility-based action bias is associated with the striatum.
  • In novel environments, goal-based selection temporarily dominates.
  • With experience, utility-based action bias becomes dominant as action utilities are acquired.

Conclusions:

  • The medial prefrontal cortex and striatum play distinct roles in goal-based and utility-based decision-making, respectively.
  • A shift in dominance from goal-based to utility-based action selection occurs with environmental learning.
  • Goal-setting processes and reference-point shifts may modulate this transition, impacting decision strategies.