Information theory offers a language to characterize such entities and synergies between them.

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

• Information theory (predictive, synergistic, integrated)framework0.860
  Formal mathematical framework (Bialek, Tononi, etc.) proposed to characterize autonomous agents and synergies between them.
• Information Theoryconcept0.846
  Framework treating phenomena as information flows and exchanges; adopted by Friedman and others to model design as informational process.
• Information Theory (Shannon)framework0.828
  Mathematical theory of communication and information capacity; Sloman argues Schrödinger anticipated its relevance for genetic coding.
• Information Theory and Actionconcept0.827
  Chapter 6 explores whether information-theoretic models (Dretske) can ground action causation; concludes they cannot dissolve equivocation problem.
• Information Theory Of Individualityframework0.807
  Formal framework by Krakauer et al. (2020) for defining an individual based on information theory.
• Shannon Information Theoryframework0.798
  Classical quantitative theory of information; paper seeks to reconcile with qualitative domain-theoretic approaches.
• Agents and their interactions are intrinsic to studying information flow in computation, not peripheral to classical information theory.claim0.798
  Central thesis: traditional static information theories fail to capture dynamic interaction necessary for understanding modern computing.
• Integrated Information Theoryframework0.795
  Tononi et al. framework quantifying consciousness via integration; provides mathematical tools for measuring agent complexity.