{
  "id": 1970,
  "url": "https://link.springer.com/article/10.1007/s11023-026-09789-6",
  "title": "Interpretation as Linear Transformation: A Cognitive-Geometric Model of Concepts and Meaning",
  "summary": "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",
  "authors": null,
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-06T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:11:46.979Z",
  "source_slug": "x-minds-and-machines",
  "source_name": "Minds and Machines",
  "source_homepage": "https://link.springer.com/journal/11023",
  "ethics_ai_record_url": "https://ethics.ai/record/1970",
  "original_url": "https://link.springer.com/article/10.1007/s11023-026-09789-6",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}