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Interact. Intell. Syst."],"published-print":{"date-parts":[[2025,3,31]]},"abstract":"<jats:p>Autonomous negotiating agents, which can interact with other agents, aim to solve decision-making problems involving participants with conflicting interests. Designing agents capable of negotiating with human partners requires considering some factors, such as emotional states and arguments. For this purpose, we introduce an extended taxonomy of argument types capturing human speech acts during the negotiation. We propose an argument-based automated negotiating agent that can extract human arguments from a chat-based environment using a hierarchical classifier. Consequently, the proposed agent can understand the received arguments and adapt its strategy accordingly while negotiating with its human counterparts. We initially conducted human-agent negotiation experiments to construct a negotiation corpus to train our classifier. According to the experimental results, it is seen that the proposed hierarchical classifier successfully extracted the arguments from the given text. Moreover, we conducted a second experiment where we tested the performance of the designed negotiation strategy considering the human opponent\u2019s arguments and emotions. Our results showed that the proposed agent beats the human negotiator and gains higher utility than the baseline agent.<\/jats:p>","DOI":"10.1145\/3691643","type":"journal-article","created":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T16:06:24Z","timestamp":1725984384000},"page":"1-35","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Taking into Account Opponent\u2019s Arguments in Human-Agent Negotiations"],"prefix":"10.1145","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9951-8912","authenticated-orcid":false,"given":"An\u0131l","family":"Do\u011fru","sequence":"first","affiliation":[{"name":"\u00d6zye\u011fin University, Istanbul, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8025-4304","authenticated-orcid":false,"given":"Mehmet Onur","family":"Keskin","sequence":"additional","affiliation":[{"name":"\u00d6zye\u011fin University, Istanbul, Turkey and Delft University of Technology, Delft, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5260-9999","authenticated-orcid":false,"given":"Reyhan","family":"Aydo\u011fan","sequence":"additional","affiliation":[{"name":"\u00d6zye\u011fin University, Istanbul, Turkey and Delft University of Technology, Delft, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,1,10]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.5555\/1734076"},{"key":"e_1_3_2_3_2","first-page":"10","volume-title":"Proceedings of the 10th International Workshop on Non-Monotonic Reasoning (NMR \u201904)","author":"Amgoud Leila","year":"2004","unstructured":"Leila Amgoud and Henri Prade. 2004. 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