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This paper presents a novel computational approach to the study of creativity. In particular, it discusses a modeling framework that addresses the worth of ideas ascribed by agents embedded in a social world. The triple objective of this system is to improve our understanding of how ideas may emerge from a few individuals, how social interaction may result in the ascription of value to new ideas, and how culture may evolve through time, transforming or replacing dominant or consensual ideas. The proposed system encompasses commonalities in existing theories of creativity, and suggests future theoretical directions that can be explored via simulation.
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Stored only when both papers are in the corpus — 19 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.