

Navigating Complexity: The Crossroads of Predictive Processing and Relevance Realization | Leiden Symposium
31 snips Nov 15, 2023
John Vervaeke delves into the intricacies of predictive processing and relevance realization within cognitive frameworks. He discusses the nature of intelligence, managing information overload, and the trade-offs between general and specialized problem-solving. Vervaeke explores the shifting landscape of salience and relevance realization, the misconceptions surrounding meaning and its connection to caring and connectedness, and the concept of maturing and optimal gripping. He also explores deprivation, disruptive strategies, and the impact of mystical experiences on wisdom.
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Frame and Relevance Problems
- Predictive processing and relevance realization tackle the frame problem in AI.
- This involves representing change and filtering relevant information from the overwhelming amount of available data.
Two Meta-Problems
- Organisms face two meta-problems: relevance realization and anticipation.
- These are intertwined, as greater anticipation expands the information space, making relevance realization more crucial.
General vs. Specialized
- Brains constantly balance general and specialized problem-solving.
- This involves trade-offs, like data compression for generalization versus particularization for context sensitivity.