claim

active

claim:agents-and-their-interactions-are-intrinsic-to-studying-information-flow-in-computation-not-peripheral-to-classical-information-theory

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.

Source paper

extracted_from

Information, Processes and Games

Abramsky, Samson

Neighborhood — ranked by edge-count

Communities (3)

community

Design principles for care-centered systems
members_of
Cross-scale frameworks linking spatial patterns, diagrams, and simplicity as expressions of care in design.
Information dynamics in computational systems
members_of
Studies how information flow, increase, and explicitness emerge from computation relative to observers and subsystems, grounded in domain theory and order-theoretic formalism.
Observer-relative computational information theory
members_of
Information increase and flow reframed as subsystem- and observer-dependent, not absolute thermodynamic quantities.

Concepts (1)

concept

Logical emergence from copying
supports
Demonstration that complex logical behavior emerges from simple copy-cat processes through interaction, exemplifying power of dynamics.

Questions (1)

question

Does information increase in computation?
answered_by
Fundamental puzzle motivating the paper: how can computation produce new information when output is logically implied by input and thermodynamics suggests information cannot increase?

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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

Information theory offers a language to characterize such entities and synergies between them.claim0.798
Claim that information-theoretic measures are suitable to model self and agency.
Information flow and increase must be understood relative to subsystems and their interaction with environment.claim0.792
The ability to represent relationships (e.g. correlations or associations) among variables, rather than a system of independent variables, is essential for any connectionist model of cognition.claim0.787
Necessary condition for connectionist cognition.
In this loop, humans and technology both contribute as agents, and their capacity for care and intelligence can be observed and tracked by focusing on the transfers of their stresses.quote0.787
Describes the dual SCI loop perspective.
Future work should develop fully-fledged dynamic theories combining qualitative and quantitative information in the style of Game Semantics and Geometry of Interaction.hypothesis0.780
Paper identifies major research objective: extending static reconciliations (Domain Theory + Shannon) to dynamic frameworks.
Game semantics provides a setting for quantifying information flow between agentsclaim0.778
The author sees potential to ask quantitative questions about rate of information flow through strategies, robustness, and minimal information disclosure.
Information increase in computation is observer-dependent, relative to the computational direction chosen.claim0.777
Extension of information dynamics: direction of information increase (e.g., forward multiplication vs. reverse factorization) depends on observer's goals.
The fundamental objects of study in information dynamics should be open systems interacting with an environmentclaim0.775
Because information flow and increase are relative to subsystems, agents embedded in environments are the proper units of analysis.

Cross-corpus bridges (5)

same_concept_as · Nomic cosine

External markdown files that talk about the same concept as this entity.

aboutblank_kb
How do agents recognize and interact meaningfully with other agents of fundamentally different types?questions/how-do-agents-recognize-and-interact-meaningfully-with.md0.812
alexander
2021 10 18 Prabros. 1604.02603.pdf 6f9f31papers/extracted/2021-10-18_Prabros._1604.02603.pdf_6f9f31.md0.801
aboutblank_kb
Hector Zenilthinkers/hector-zenil.md0.796
aboutblank_kb
Information Theory Of Individualityframeworks/information-theory-of-individuality.md0.788
aboutblank_kb
Thoughts As Agentsconcepts/cognitive/thoughts-as-agents.md0.784