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Behavior and perception interact through the environment, not just internally. This environmental feedback shapes perception to match learned behaviors, stabilizing actions.

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Area of Science:

  • Cognitive Science
  • Robotics
  • Artificial Intelligence

Background:

  • Perception and behavior are traditionally viewed as separate processes.
  • Their interaction is often assumed to be internal, mediated by neural substrates.
  • The precise mechanisms of perception-behavior interaction remain largely unknown.

Purpose of the Study:

  • To investigate the mechanism of interaction between perception and behavior.
  • To demonstrate that perception and behavior can interact synergistically via the environment.
  • To show how environmental feedback structures perceptual systems.

Main Methods:

  • Utilized simulated and real mobile robots.
  • Investigated the role of perceptual learning in supporting behavioral learning.
  • Analyzed how behavioral structuring biases input sampling and affects perceptual organization.

Main Results:

  • Perceptual learning directly supports behavioral learning, leading to structured behavior.
  • Behavioral structuring causes systematic bias in input sampling.
  • This bias directly influences the organization of the perceptual system.
  • Environmentally mediated feedback aligns perception with behavior, stabilizing actions.

Conclusions:

  • Perception and behavior interact dynamically through environmental feedback loops.
  • This interaction is not solely internal but is shaped by external influences.
  • Environmentally mediated feedback is crucial for optimizing perceptual systems to support behavior.