Toward a Calculus of Redundancy: The feedback arrow of expectations in knowledge-based systems
Loet Leydesdorff, Mark W. Johnson, and Inga Ivanova

TL;DR
This paper introduces a probabilistic framework based on Shannon's information theory to analyze how redundancy and expectation codify meaning in discourse, contributing to cultural evolution and knowledge systems.
Contribution
It proposes a calculus of redundancy to empirically explore the dynamics of meaning generation and expectation in knowledge-based discourses using information theory.
Findings
Redundancy increases as meaning options proliferate.
Codes co-evolve with variations in discourse.
The calculus of redundancy enables empirical analysis of discourse dynamics.
Abstract
This paper considers the relationships among meaning generation, selection, and the dynamics of discourse from a variety of perspectives ranging from information theory and biology to sociology. Following Husserl's idea of a horizon of meaning in intersubjective communication, we propose a way in which, using Shannon's equations, the generation and selection of meanings from a horizon of possibilities can be considered probabilistically. The information-theoretical dynamics we articulate considers a process of meaning generation within cultural evolution: information is imbued with meaning, and through this process, the number of options for the selection of meaning in discourse proliferates. The redundancy of possible meanings contributes to a codification of expectations within the discourse. Unlike hard-wired DNA, the codes of non-biological systems can co-evolve with the variations.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUniversity-Industry-Government Innovation Models · Cognitive Science and Mapping
