{
  "title": "On Cognitive Art & Science: Toward Wholeness From Both Sides",
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  "doi": "10.5281/zenodo.16740438",
  "doi_url": "https://doi.org/10.5281/zenodo.16740438",
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  "publication_date": "2025-08-04",
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  "creators": [
    {
      "name": "Friedman, Daniel Ari",
      "affiliation": "Active Inference Institute",
      "orcid": "0000-0001-6232-9096"
    }
  ],
  "description": "Positioning cognitive science as the systematic study of intra-action and cognitive art as its reflexive twin, this paper traces a bidirectional trajectory toward systemic wholeness. Procedural craft (firstness) and conceptual articulation (secondness) co-evolve into adaptive intelligence (thirdness), as continuously audited by the observing niche that embeds, measures, and reinterprets those intelligences (fourthness). This four-fold schema maps onto concrete information architectures: from insect bodies, to cryptographically verifiable plain texts, on through variational Bayesian simulations approached from the Low Road of Active Inference. Alternating 2→3 analytical moves which compress past data into predictive structure, with 4→3 generative moves which open space for unknown futures – these systems are capable of balancing exploitation with exploration, measurement with meaning, and optimization with open-ended creativity. True cognitive wholeness emerges when explanation and anticipation co-operate in sustained dialogue across scales.",
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  "checked_at": "2026-06-30T23:25:46Z",
  "domain": "Art & Synergetics",
  "type": "Paper",
  "methods": [
    {
      "name": "Visual and symbolic analysis",
      "description": "Applied visual and symbolic analysis approach"
    },
    {
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      "description": "Applied cross-domain pattern mapping approach"
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  "key_findings": [
    "This paper explores cognitive approaches to art-science integration, examining how cognitive science frameworks can inform both artistic practice and scientific investigation.",
    "Analysis of Through Active Inference..."
  ],
  "related_papers": [
    "2018_PPPiP",
    "2022_MirrorTest",
    "2023_BlakeFuller"
  ]
}