Active Inference Insights

John Vervaeke ~ Active Inference Insights 003 ~ Relevance Realisation, Predictive Processing, Flow

48 snips
Dec 21, 2023
In this episode, John Vervaeke and Darius Parvizi-Wayne discuss relevance realization, predictive processing, and flow states. They explore the function of consciousness, implications of radical enactivism, opponent processing, affordances, and the integration of philosophical lineages into active inference theory. The conversation also touches on social baseline theory, rock climbing, dynamic mutual coupling in affordances, and the role of narrative elements in cognitive processes.
Ask episode
AI Snips
Chapters
Transcript
Episode notes
INSIGHT

Relevance Realization Inverts Common Sense

  • Relevance realization inverts common sense by explaining how our brains generate salience landscapes.
  • This allows us to focus on relevant information in a complex world, a crucial aspect of general intelligence.
INSIGHT

The Problem with the Magic Module

  • A "magic module" for relevance realization leads to an infinite regress, as it requires another module to determine its own relevance.
  • Relevance is dynamic and context-dependent, not intrinsically linked to specific stimuli.
INSIGHT

Opponent Processing and Adaptability

  • Opponent processing, seen in biological systems like the autonomic nervous system, involves subsystems with opposing biases.
  • This dynamic interplay helps organisms adapt to changing environments by constantly recalibrating arousal levels.
Get the Snipd Podcast app to discover more snips from this episode
Get the app