Creative Integration: A Decidable Criterion of Creativity
A new criterion for creative integration proposes that a genuine synthesis between conflicting ideas is one that strictly reduces the description length of the combined concepts, with the reduction located in the conflict itself [1]. The criterion, detailed in a paper posted to arXiv, defines creative integration (CI) as the resolution of a real conflict between A and B if and only if, under a fixed description language, the description length strictly shrinks, yielding a compression ratio C = L_pre/L_post greater than 1 [2]. The work builds on a lineage that treats creativity and intelligence as compression, but the authors state their contribution is not the compression metaphor itself, but its decidability, discrimination, and a supporting corpus [2]. To make the judgment operational, the criterion passes through four binary, conjunctive gates [1]. The authors also construct a taxonomy of pseudo-integration that names and rejects look-alike solutions that might superficially resemble creative synthesis but fail the compression test [2]. The framework is backed by a curated, multi-domain corpus [1]. Validation departs from standard inter-rater agreement methods. Instead, the criterion is subjected to four falsifiable tests: an independent computational check, discrimination against hard negatives, out-of-sample prediction, and description-language robustness [2]. The paper reports that all four tests pass with margin [2]. The authors position novelty and value as downstream symptoms of creative compression, rather than its defining features [2]. This stance intersects with ongoing debates in computational creativity. Prior work has formalized novelty and transformational creativity, proving that novelty is neither necessary nor sufficient for transformational creativity in general, though it becomes a requirement for certain classes of learning agents [5]. Other research has introduced benchmarks like the Creative Invention Benchmark (CrIB), a 2000-problem set spanning five domains designed to evaluate combinational p-creativity—the creativity involved when an individual combines existing knowledge to achieve a novel solution [3]. More recent studies have investigated combinational creativity in vision-language models through frameworks such as Identification-Explanation-Implication (IEI), which decomposes creative synthesis into three hierarchical levels [4]. These efforts share a common challenge: defining creativity in operational terms that can be tested, measured, or falsified. The new CI criterion claims only the sign of C-1 and explicitly judges rather than generates creative output [2]. Whether all creativity is constituted by conflict compression is stated as an explicit conjecture, not a proven claim [2].
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Background sources we checked (7)
- arxiv.org ↗ "Integrative" solutions are widely praised but rarely defined: we lack an operational way to tell a genuine integration -- one that makes the world cheaper to describe -- from a tidy re-description. Building on the lineage that treats creativity and intelligence as compression,…
- arxiv.org ↗ In this paper we present the Creative Invention Benchmark (CrIB), a 2000-problem benchmark for evaluating [...] a particular facet of computational creativity. Specifically, we address combinational p-creativity, the creativity at play when someone combines existing knowledge…
- arxiv.org ↗ GPT-4V [...] LE-3 [...] outputs reflect combinational creativity—defined by \@ [...] BBNM. A. Boden (1 [...] @BBCP as synthesizing novel ideas through combining [...] from the lens of [...] propose the Identification-Explanation-Implication (IEI) [...] which decomposes creative […
- arxiv.org ↗ Formalizing creativity-related concepts has been a longterm goal of Computational Creativity. To the same end, [...] . We provide [...] formal definitions for novelty and transformational creativity. This formalisation marks the beginning of a [...] research branch we call Form…
- en.wikipedia.org ↗ Music software utilizes artificial intelligence to generate, classify, or recommend music. Similar to its applications in other fields, AI in music simulates complex human cognitive processes. A prominent feature is the capability of an AI algorithm to learn from historical data,…
- en.wikipedia.org ↗ Collective intelligence (CI) or group intelligence (GI) is the emergent ability of groups, whether composed of humans alone, animals, or networks of humans and artificial agents, to solve problems, make decisions, or generate knowledge more effectively than individuals alone, thr…
- en.wikipedia.org ↗ Educational assessment or educational evaluation is the systematic process of documenting and using empirical data on the knowledge, skill, attitudes, aptitude and beliefs to refine programs and improve student learning. Assessment data can be obtained by examining student work d…
Sources
- export.arxiv.org — Creative Integration: A Decidable Criterion of Creativity ↗