How can we develop an empirical agency detection toolkit that generalizes across diverse intelligences?

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Human cognition evolved to detect agency in medium-sized objects at medium speeds in 3D space, limiting recognition of intelligence in unfamiliar substrates.claim0.775
• Attribution of agency is an empirical question, not a philosophical one.claim0.758
• is it possible to define ways in which truly diverse intelligences can be recognized, compared, and understood?question0.755
  Motivates the development of TAME as a framework for all possible minds.
• Patterns in AI self-reports should be compared across different models to identify structural commonalities.claim0.744
• How Should The Development Of Artificial General Intelligencequestion0.742
• Artificial General Intelligenceconcept0.742
  Target phenomenon; paper seeks unified understanding via world models and life-mind continuity.
• What mechanisms enable collective introspection to emerge across multiple interacting AI agents?question0.741
  Core unanswered question that drives the search; addresses the integration of distributed cognition and machine consciousness.
• Conceptual advances in the links between machine learning and evolution now provide quantitative formalisms with which to begin to develop testable models of collective intelligence across scales.claim0.740
  Asserts that the time is ripe for formal models.