Current application of 15 properties to agent harness is metaphorical; operationalization into measurement is an open empirical question.

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

• The right unit of analysis for agent infrastructure—skill, tool, or manifold—is itself a position requiring explicit claim.claim0.765
• Evaluating agentic competence requires benchmarks that test the joint deployment of multiple capabilities in multi-agent environments with conflicting incentives, uncertainty, and economic dynamics.quote0.763
  Motivational statement for the benchmark design philosophy.
• Many of the indicator properties can be implemented in AI systems using current techniques.claim0.759
  Feasibility demonstrated in Section 3.1.
• The correct level of agency is an empirical question, not a philosophical one.claim0.752
  We must determine the optimal stance by testing what predictive/control strategies work best.
• The 15 Properties of Aliveness translates Alexander's structural properties into UX/AI experience as a design language.claim0.748
• Capability budget should be allocated to the task-solving agent rather than the evolver, since harness-updating varies by at most 3.1 pp across evolversclaim0.747
  Primary design recommendation derived from harness-updating flatness finding
• Interpretability as technical grounding: activation patching and mechanism-finding validate the reflective/care/aliveness concepts.claim0.745
• acting to optimize value and perception are two aspects of exactly the same principle; namely the minimisation of a quantity [free energy] that bounds the probability of sensory input, given a particular agent or phenotype.quote0.745
  Concise statement of the free-energy principle's unification of action and perception.