Article Instance

HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
    "pk": 33079,
    "title": "A Connectionist Model for Classification Learning - The lAK Model",
    "subtitle": null,
    "abstract": "The connectionist model lAK (Information evaluation using \nconfigurations) for classification learning is presented here. \nThe model can be placed between feature based (e.g. Gluck \n& Bower, 1988) and exemplar based models (e.g. ALCOVE , \nKruschke, 1992). Specific to this model is that during \nlearning, sets of input features are probabilistically sampled. \nThese sets are represented, in a hidden layer, by \nconfiguration nodes. These configuration nodes are \nconnected to output nodes that represent category labels. A \nfurther characteristic of the lAK model is a mechanism \nwhich enhances retrieval of information. Simulations with \nthe lAK model can explain different phenomena of \nclassification learning which have been found in \nexperimental studies: A Type 2 advantage without \ndimensional attention learning observed by Shepard et al. \n(1961); a generalisation of prototypes; a generalization based \non similarity to learned exemplars; a differential forgetting \nof prototypes and exemplars; a moderate interference (fan \neffect) caused by stimulus similarity; and the missing of \ncatastrophic interference even in A-B/A-Brdesigns.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "17",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/3cd229cq",
    "frozenauthors": [
        {
            "first_name": "Martin",
            "middle_name": "",
            "last_name": "Heydemann",
            "name_suffix": "",
            "institution": "Institut fuer Psychologic Technische Hochschule Darmstadt",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1995-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/33079/galley/24140/download/"
        }
    ]
}