Interpretation as Linear Transformation: A Cognitive-Geometric Model of Concepts and Meaning
This paper develops a geometric framework for modeling concepts, motivation, and influence across cognitively heterogeneous agents. Each agent is represented by a personalized value space , a vector space encoding the internal dimensions through which the agent interprets and evaluates meaning. Evaluative concepts are formalized as structured vectors— abstract beings —whose transmission is mediated by linear interpretation maps . An abstract being survives communication only if it avoids the nul
Record details
Published: 6 July 2026
Source: Minds and Machines
Category: Research
Topics: Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (6 July 2026), “Interpretation as Linear Transformation: A Cognitive-Geometric Model of Concepts and Meaning,” evidence record 1970, https://ethics.ai/record/1970 (originally published by Minds and Machines).
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