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Extended active inference: Constructing predictive cognition beyond skulls.

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Organisms optimize their understanding of the world through cognitive niche construction, a process detailed by extended active inference. This framework integrates predictive processing and extended mind theory for enhanced cognitive function.

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Evolutionary Psychology

Background:

  • Cognitive niche construction involves organisms building internal models of their environment to guide behavior.
  • Extended mind theory posits that cognition can encompass external environmental elements.
  • Active inference and predictive processing frameworks describe how organisms use generative models for perception, action, and learning.

Purpose of the Study:

  • To present an active inference formulation of cognitive niche construction.
  • To conceptualize cognitive niche construction as a fundamental cognitive optimization process.
  • To introduce the concept of extended active inference.

Main Methods:

  • Formulating cognitive niche construction within the theoretical framework of active inference.
  • Integrating principles of predictive processing and extended mind theory.
  • Developing a computational or theoretical model of extended active inference.

Main Results:

  • Cognitive niche construction can be understood as a process of optimizing an organism's generative models.
  • Extended active inference provides a unified framework for understanding how organisms shape their cognitive and physical niches.
  • This approach bridges the gap between internal predictive models and external environmental interactions.

Conclusions:

  • Cognitive niche construction is a key cognitive function for optimizing generative models.
  • Extended active inference offers a novel perspective on the interplay between mind, body, and environment.
  • This framework has implications for understanding intelligence, adaptation, and the evolution of complex behaviors.