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leiden_hybrid_concepts
label: sonnet
community:leiden_hybrid_concepts-run2-c31Observer-relative computational information theory
Information increase and flow reframed as subsystem- and observer-dependent, not absolute thermodynamic quantities.
6 members. Each node is clickable.
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Bridges (4)
Other communities that share members with this one — cross-cutting threads or papers that sit at the seam between two themes.
Claims (6)
- Agents and their interactions are intrinsic to studying information flow in computation, not peripheral to classical information theory.Central thesis: traditional static information theories fail to capture dynamic interaction necessary for understanding modern computing.
- Estimates of intelligence are observer-dependent and depend on the observer's limitations as much as the system.An epistemological claim of TAME that agency is not an objective property but is empirically determined by prediction and control efficiency.
- Information flow and increase must be understood relative to subsystems and their interaction with environment.
- Information increase in computation arises from data reduction and making implicit information explicit, not logical increase.Author's proposed resolution to the information increase paradox: computation gains utility through extraction and filtering, not creation of logically new content.
- Information increase in computation is observer-dependent, relative to the computational direction chosen.Extension of information dynamics: direction of information increase (e.g., forward multiplication vs. reverse factorization) depends on observer's goals.
- Making information explicit—extracting normal forms from computation.