{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T20:40:24Z","timestamp":1762548024376,"version":"build-2065373602"},"reference-count":0,"publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIIDE"],"abstract":"<jats:p>A narrative planner decides the actions for all characters in a story while justifying each action according to the acting characters' own individual goals. However, an action that contributes to a goal may still seem irrational when considered alongside other actions the character may take; for instance, it may sacrifice a more important goal, or expose the character to unnecessary risks. We redefine the narrative planning character model to use a multiobjective framework where character actions are chosen from a Pareto front of best and safest options. We discuss how this framework can be applied to generate a policy for how the non-player characters should behave in any given state of an interactive narrative, and how we applied such a policy in the Traffic Stop de-escalation training simulation.<\/jats:p>","DOI":"10.1609\/aiide.v21i1.36837","type":"journal-article","created":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T20:36:57Z","timestamp":1762547817000},"page":"337-346","source":"Crossref","is-referenced-by-count":0,"title":["Pareto-Based Narrative Planning: Making NPCs More Rational"],"prefix":"10.1609","volume":"21","author":[{"given":"Molly","family":"Siler","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mira","family":"Fisher","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephen G.","family":"Ware","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"9382","published-online":{"date-parts":[[2025,11,7]]},"container-title":["Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment"],"original-title":[],"link":[{"URL":"https:\/\/ojs.aaai.org\/index.php\/AIIDE\/article\/download\/36837\/38975","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ojs.aaai.org\/index.php\/AIIDE\/article\/download\/36837\/38975","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T20:36:57Z","timestamp":1762547817000},"score":1,"resource":{"primary":{"URL":"https:\/\/ojs.aaai.org\/index.php\/AIIDE\/article\/view\/36837"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,7]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,11,7]]}},"URL":"https:\/\/doi.org\/10.1609\/aiide.v21i1.36837","relation":{},"ISSN":["2334-0924","2326-909X"],"issn-type":[{"value":"2334-0924","type":"electronic"},{"value":"2326-909X","type":"print"}],"subject":[],"published":{"date-parts":[[2025,11,7]]}}}