{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:42:50Z","timestamp":1761896570429},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:p>In an argumentation setting, a semantics evaluates the overall acceptability of arguments. Consequently, it reveals the global loss incurred by each argument due to attacks. However, it does not say anything on the contribution of each attack to that loss. This paper introduces the novel concept of contribution measure which evaluates those contributions. It starts by defining a set of axioms that a reasonable measure would satisfy, then shows that the Shapley value is the unique measure that satisfies them. Finally, it investigates the properties of the latter under existing semantics.<\/jats:p>","DOI":"10.24963\/ijcai.2017\/10","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T09:14:07Z","timestamp":1501233247000},"page":"63-69","source":"Crossref","is-referenced-by-count":5,"title":["Measuring the Intensity of Attacks in Argumentation Graphs with Shapley Value"],"prefix":"10.24963","author":[{"given":"Leila","family":"Amgoud","sequence":"first","affiliation":[{"name":"IRIT, CNRS - Universit\u00e9 de Toulouse"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"Ben-Naim","sequence":"additional","affiliation":[{"name":"IRIT, CNRS - Universit\u00e9 de Toulouse"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Srdjan","family":"Vesic","sequence":"additional","affiliation":[{"name":"CRIL, CNRS - Universit\u00e9 d'Artois"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"26","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)","University of Technology Sydney (UTS)","Australian Computer Society (ACS)"],"acronym":"IJCAI-2017","name":"Twenty-Sixth International Joint Conference on Artificial Intelligence","start":{"date-parts":[[2017,8,19]]},"theme":"Artificial Intelligence","location":"Melbourne, Australia","end":{"date-parts":[[2017,8,26]]}},"container-title":["Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T11:51:49Z","timestamp":1501242709000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2017\/10"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2017\/10","relation":{},"subject":[],"published":{"date-parts":[[2017,8]]}}}