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{
    "pk": 24759,
    "title": "Learning abstractions from discrete sequences",
    "subtitle": null,
    "abstract": "Understanding abstraction is a stepping stone towards understanding intelligence. We ask the question: How do abstract representations arise when learning sequences? From a normative perspective, we show that abstraction is necessary for an intelligent agent when the perceptual sequence contains objects of similar interaction properties appearing in identical contexts. A rational agent should identify categories of objects of similar properties as an abstract concept, enabling the discovery of higher-order sequential relations that span a longer part of the sequence. We propose a hierarchical variable learning model (HVM) that learns chunks and abstract concepts from sequential data in a cognitively plausible manner. HVM gradually discovers abstraction via a conjunction of variable discovery and chunking, resembling the process of concept discovery during development. In a sequence recall experiment that demands learning and transferring variables, we observe that the model's sequence complexity can explain human behavior in a sequence memorization experiment.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Artificial Intelligence; Cognitive Neuroscience; Computer Science; Psychology; Analogy; Concepts and categories; Language learning; Memory; Statistical learning; Symbolic computational modeling"
        }
    ],
    "section": "Abstracts",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/9hx9g7n0",
    "frozenauthors": [
        {
            "first_name": "Shuchen",
            "middle_name": "",
            "last_name": "Wu",
            "name_suffix": "",
            "institution": "Max Planck Institute for Biological Cybernetics",
            "department": ""
        },
        {
            "first_name": "Mirko",
            "middle_name": "",
            "last_name": "Thalmann",
            "name_suffix": "",
            "institution": "Max Planck Institute for Biological Cybernetics",
            "department": ""
        },
        {
            "first_name": "Eric",
            "middle_name": "",
            "last_name": "Schulz",
            "name_suffix": "",
            "institution": "Max Planck Institute for Biological Cybernetics",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2024-01-01T18:00:00Z",
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