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March 10, 2026Open Access

Intelligence Is Navigation: State Space Traversal, Self-Representation, and Metacognition as Coherence Dynamics

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Authors

LRLauri Elias Rainio

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Overview

Unifies definitions of intelligence through coherent navigation in state spaces, highlighting metacognition's role in achieving optimal performance.

Key Points

  • This research aims to unify various definitions of intelligence under a coherent navigation framework involving state spaces.
  • Defined a coherence metric for intelligence
  • Identified key components of intelligence: traversal efficiency, self-representation, and metacognitive correction
  • Analyzed thresholds for coherent navigation versus drift in state spaces
  • Introduced a unified model of intelligence based on state space navigation
  • Established that mutual coherence enhances intelligence beyond individual capabilities
  • Demonstrated that metacognition is crucial for intelligence, failing first when thresholds are not met

Cite This Study

Lauri Elias Rainio (2026) studied this question.

synapsesocial.com/papers/69af958570916d39fea4d291https://doi.org/10.5281/zenodo.18916376
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