framework
active
framework:information-theory-shannonInformation Theory (Shannon)
Mathematical theory of communication and information capacity; Sloman argues Schrödinger anticipated its relevance for genetic coding.
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Concepts (1)
concept
- The exponential growth in combinatorial possibilities with sequence length, allowing vast genetic information storage.
Frameworks (1)
framework
- Shannon Information Theorysame_asClassical quantitative theory of information; paper seeks to reconcile with qualitative domain-theoretic approaches.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Framework treating phenomena as information flows and exchanges; adopted by Friedman and others to model design as informational process.
- Formal mathematical framework (Bialek, Tononi, etc.) proposed to characterize autonomous agents and synergies between them.
- Information theory offers a language to characterize such entities and synergies between them.claim0.828Claim that information-theoretic measures are suitable to model self and agency.
- Formal framework by Krakauer et al. (2020) for defining an individual based on information theory.
- The field providing the result that no finite system can measure entanglement entropy across its own boundary.
- Tononi et al. framework quantifying consciousness via integration; provides mathematical tools for measuring agent complexity.
- Chapter 6 explores whether information-theoretic models (Dretske) can ground action causation; concludes they cannot dissolve equivocation problem.
- Proposed theoretical framework combining qualitative and quantitative aspects of information, with explicit treatment of processes and information flow; central organizing concept for the paper.