{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/predicting-and-explaining-human-semantic","title":"Predicting and Explaining Human Semantic Search in a Cognitive Model","arxiv_id":"1711.11125","date":"2017-11-29","proceeding":"WS 2018 1","authors":["Filip Miscevic","Aida Nematzadeh","Suzanne Stevenson"],"abstract":"Recent work has attempted to characterize the structure of semantic memory\nand the search algorithms which, together, best approximate human patterns of\nsearch revealed in a semantic fluency task. There are a number of models that\nseek to capture semantic search processes over networks, but they vary in the\ncognitive plausibility of their implementation. Existing work has also\nneglected to consider the constraints that the incremental process of language\nacquisition must place on the structure of semantic memory. Here we present a\nmodel that incrementally updates a semantic network, with limited computational\nsteps, and replicates many patterns found in human semantic fluency using a\nsimple random walk. We also perform thorough analyses showing that a\ncombination of both structural and semantic features are correlated with human\nperformance patterns.","url_abs":"http://arxiv.org/abs/1711.11125v1","url_pdf":"http://arxiv.org/pdf/1711.11125v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"predicting-and-explaining-human-semantic","repo_url":"https://github.com/FilipMiscevic/random_walk","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"predicting-and-explaining-human-semantic","repo_url":"https://github.com/mkduer/semantic-fluency-nn","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"language-acquisition","task_name":"Language Acquisition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}