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{
    "pk": 21331,
    "title": "Higher cognition in large language models",
    "subtitle": null,
    "abstract": "Large language models (LLMs) like OpenAI's GPT-4 (OpenAI et al., 2023), or Google's PaLM (Chowdhery et al., 2022) generate text responses to user-generated text prompts.  In contrast to work that evaluates  the extent to which model-generated text coheres with linguistic rules (i.e., formal competence) (Chomsky et al., 2023; Piantadosi, 2023), the present symposium discusses the  work of cognitive scientists aimed at assessing the extent and manner in which LLMs show effective understanding, reasoning and decision making, capacities associated with human higher cognition (i.e., functional competence) (Binz & Schulz, 2023; Mahowald et al., 2023; Webb et al., 2023). Given both their expertise and their interest in clarifying the nature of human thinking, cognitive scientists are in a unique position both to carefully evaluate LLMs' capacity for thought (Bhatia, 2023; Han et al., 2024; Mitchell, 2023) and to benefit from them as methodological and theoretical tools. This symposium will thus be of interest not only to cognitive scientists concerned with machine intelligence, but also to those looking to incorporate advances in artificial intelligence with their study of human intelligence.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Artificial Intelligence; Decision making; Natural Language Processing; Reasoning; Large Language Models"
        }
    ],
    "section": "Symposia",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/3d81x7j8",
    "frozenauthors": [
        {
            "first_name": "Nicholas",
            "middle_name": "",
            "last_name": "Ichien",
            "name_suffix": "",
            "institution": "University of Pennsylvania",
            "department": ""
        },
        {
            "first_name": "Sudeep",
            "middle_name": "",
            "last_name": "Bhatia",
            "name_suffix": "",
            "institution": "University of Pennsylvania",
            "department": ""
        },
        {
            "first_name": "Anna",
            "middle_name": "",
            "last_name": "Ivanova",
            "name_suffix": "",
            "institution": "Georgia Institute of Technology",
            "department": ""
        },
        {
            "first_name": "Taylor",
            "middle_name": "",
            "last_name": "Webb",
            "name_suffix": "",
            "institution": "University of California, Los Angeles",
            "department": ""
        },
        {
            "first_name": "Tom",
            "middle_name": "",
            "last_name": "Griffiths",
            "name_suffix": "",
            "institution": "Princeton University",
            "department": ""
        },
        {
            "first_name": "Marcel",
            "middle_name": "",
            "last_name": "Binz",
            "name_suffix": "",
            "institution": "Helmholtz Computational Health Center",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2024-01-01T18:00:00Z",
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}