{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T05:27:26Z","timestamp":1740461246010,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>In this paper, we proposed a new stochastic local search algorithm Inc-CCAEPfor computing the preferred extensions in (abstract) argumentation frameworks (AF). Inc-CCAEPrealizes an incremental version of Swcca, specially designed for computing the preferred extensions in AF. Experiments show that, Inc-CCAEPnotably outperforms the state-of-the-art solvers consistently on random benchmarks with non-empty preferred extensions.<\/jats:p>","DOI":"10.3233\/978-1-61499-672-9-1652","type":"book-chapter","created":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T11:58:24Z","timestamp":1740398304000},"source":"Crossref","is-referenced-by-count":0,"title":["A New Stochastic Local Search Approach for Computing Preferred Extensions of Abstract Argumentation"],"prefix":"10.3233","author":[{"family":"Niu Dangdang","sequence":"additional","affiliation":[]},{"family":"Liu Lei","sequence":"additional","affiliation":[]},{"family":"L&uuml; Shuai","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2016"],"original-title":[],"deposited":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T12:16:27Z","timestamp":1740399387000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-671-2&spage=1652&doi=10.3233\/978-1-61499-672-9-1652"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-672-9-1652","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2016]]}}}