{
  "@context": "https://schema.org",
  "@type": "article",
  "@id": "https://anchorfact.org/kb/cognitive-architectures",
  "headline": "Cognitive Architectures: ACT-R, Soar, and Computational Models of Human-Like Reasoning",
  "description": "Cognitive architectures model how the human mind works -- from memory retrieval and decision-making to language processing and skill acquisition. Unlike deep learning, which optimizes for task performance, cognitive architectures aim for human-like cognition: making the same errors, taking the same time, and using the same strategies. This complementary paradigm offers insights for AI safety, human-AI interaction, and understanding intelligence itself.",
  "dateCreated": "2026-05-24T02:49:13.589Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "ACT-R: A cognitive architecture for modeling cognition (Carnegie Mellon University)",
      "sameAs": "https://act-r.psy.cmu.edu/"
    },
    {
      "@type": "CreativeWork",
      "name": "Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science",
      "sameAs": "https://arxiv.org/abs/2508.20674"
    }
  ]
}