Article Instance
API Endpoint for journals.
GET /api/articles/26142/?format=api
{ "pk": 26142, "title": "Attractivity Weighting: Take-the-Best’s Foolproof Sibling", "subtitle": null, "abstract": "We describe a prediction method called “Attractivity\nWeighting” (AW). In the case of cue-based paired\ncomparison tasks, AW predicts a weighted average of the cue\nvalues of the most successful cues. In many situations, AW’s\nprediction is based on the cue value of the most successful\ncue, resulting in behavior similar to Take-the-Best (TTB).\nUnlike TTB, AW has a desirable characteristic called “access\noptimality”: Its long-run success is guaranteed to be at least as\ngreat as the most successful cue. While access optimality is a\ndesirable characteristic, concerns may be raised about the\nshort-term performance of AW. To evaluate such concerns,\nwe here present a study of AW’s short-term performance. The\nresults suggest that there is little reason to worry about the\nshort-run performance of AW. Our study also shows that, in\nrandom sequences of paired comparison tasks, the behavior of\nAW and TTB is nearly indiscernible.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Bounded Rationality; Ecological Rationality;\nAttractivity Weighting; Take-the-Best; Meta-induction." } ], "section": "Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/45j8w37c", "frozenauthors": [ { "first_name": "Paul", "middle_name": "D.", "last_name": "Thorn", "name_suffix": "", "institution": "University of Duesseldorf", "department": "" }, { "first_name": "Gerhard", "middle_name": "", "last_name": "Schurz", "name_suffix": "", "institution": "University of Duesseldorf", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2016-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26142/galley/15778/download/" } ] }