The human capacity to recognize and evaluate agency is well-tuned for medium sized objects at medium speeds in 3D space, but not adapted to unfamiliar guises and problem spaces.

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• Human cognition evolved to detect agency in medium-sized objects at medium speeds in 3D space, limiting recognition of intelligence in unfamiliar substrates.claim0.875
• How Does The Capacity To Recognize Agency Andquestion0.809
• Reinforcement learning is sufficient for agency.claim0.801
  Argument that RL meets the agency indicator.
• The correct level of agency for a system is an empirical question determined by which intervention strategy provides the most efficient prediction and control.claim0.797
  Central methodological claim of TAME: optimal position on the persuadability continuum is found through experiments, not philosophical definition.
• The scope of states that an agent can be stressed about defines its degree of cognitive capacity.claim0.795
  Stress expands the spatial, temporal, and complexity scale of goals.
• Evaluating agentic competence requires benchmarks that test the joint deployment of multiple capabilities in multi-agent environments with conflicting incentives, uncertainty, and economic dynamics.quote0.784
  Motivational statement for the benchmark design philosophy.
• The multiscale competency architecture (MCA) speeds evolutionary search by providing generalization, reliability, tractable search space, cryptic variation, and functional intermediates.claim0.779
  Main functional claim about MCA.
• What degree of concern and care should we exhibit toward the many diverse agents around us, and what criteria do we use to identify sentience, capacity for suffering, and other properties that have moral implications?question0.776
  Central question motivating the paper.