Article Instance
API Endpoint for journals.
GET /api/articles/31741/?format=api
{ "pk": 31741, "title": "Emergent Control and Planning in an Autonomous Vehicle", "subtitle": null, "abstract": "We use a connectionist network trained with rein-\nforcement to control both an autonomous robot ve-\nhicle and a simulated robot. We show that given\nappropriate sensory data and architectural struc-\nture, a network can learn to control the robot for\na simple navigation problem. We then investigate a\nmore complex goal-based problem and examine the\nplan-like behavior that emerges.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Submitted Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/4gb3b8bj", "frozenauthors": [ { "first_name": "Lisa", "middle_name": "", "last_name": "Meeden", "name_suffix": "", "institution": "Indiana University", "department": "" }, { "first_name": "Gary", "middle_name": "", "last_name": "Mcgraw", "name_suffix": "", "institution": "Indiana University", "department": "" }, { "first_name": "Douglas", "middle_name": "", "last_name": "Blank", "name_suffix": "", "institution": "Indiana University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "1993-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31741/galley/22809/download/" } ] }