Zobrazeno 1 - 10
of 435
pro vyhledávání: '"JONKER, CATHOLIJN M."'
Autor:
Tsfasman, Maria, Dudzik, Bernd, Fenech, Kristian, Lorincz, Andras, Jonker, Catholijn M., Oertel, Catharine
Conversational memory is the process by which humans encode, retain and retrieve verbal, non-verbal and contextual information from a conversation. Since human memory is selective, differing recollections of the same events can lead to misunderstandi
Externí odkaz:
http://arxiv.org/abs/2409.13715
The research field of automated negotiation has a long history of designing agents that can negotiate with other agents. Such negotiation strategies are traditionally based on manual design and heuristics. More recently, reinforcement learning approa
Externí odkaz:
http://arxiv.org/abs/2406.15096
Autor:
van der Meer, Michiel, Liscio, Enrico, Jonker, Catholijn M., Plaat, Aske, Vossen, Piek, Murukannaiah, Pradeep K.
Publikováno v:
Journal of Artificial Intelligence Research (JAIR), 80:1187-1222, 2024
Large-scale survey tools enable the collection of citizen feedback in opinion corpora. Extracting the key arguments from a large and noisy set of opinions helps in understanding the opinions quickly and accurately. Fully automated methods can extract
Externí odkaz:
http://arxiv.org/abs/2403.09713
Understanding citizens' values in participatory systems is crucial for citizen-centric policy-making. We envision a hybrid participatory system where participants make choices and provide motivations for those choices, and AI agents estimate their va
Externí odkaz:
http://arxiv.org/abs/2402.16751
Presenting high-level arguments is a crucial task for fostering participation in online societal discussions. Current argument summarization approaches miss an important facet of this task -- capturing diversity -- which is important for accommodatin
Externí odkaz:
http://arxiv.org/abs/2402.01535
Autor:
Grossi, Davide, Hahn, Ulrike, Mäs, Michael, Nitsche, Andreas, Behrens, Jan, Boehmer, Niclas, Brill, Markus, Endriss, Ulle, Grandi, Umberto, Haret, Adrian, Heitzig, Jobst, Janssens, Nicolien, Jonker, Catholijn M., Keijzer, Marijn A., Kistner, Axel, Lackner, Martin, Lieben, Alexandra, Mikhaylovskaya, Anna, Murukannaiah, Pradeep K., Proietti, Carlo, Revel, Manon, Rouméas, Élise, Shapiro, Ehud, Sreedurga, Gogulapati, Swierczek, Björn, Talmon, Nimrod, Turrini, Paolo, Terzopoulou, Zoi, Van De Putte, Frederik
This white paper outlines a long-term scientific vision for the development of digital-democracy technology. We contend that if digital democracy is to meet the ambition of enabling a participatory renewal in our societies, then a comprehensive multi
Externí odkaz:
http://arxiv.org/abs/2401.16863
Autor:
Mehrotra, Siddharth, Degachi, Chadha, Vereschak, Oleksandra, Jonker, Catholijn M., Tielman, Myrthe L.
Appropriate Trust in Artificial Intelligence (AI) systems has rapidly become an important area of focus for both researchers and practitioners. Various approaches have been used to achieve it, such as confidence scores, explanations, trustworthiness
Externí odkaz:
http://arxiv.org/abs/2311.06305
Disagreements are common in online discussions. Disagreement may foster collaboration and improve the quality of a discussion under some conditions. Although there exist methods for recognizing disagreement, a deeper understanding of factors that inf
Externí odkaz:
http://arxiv.org/abs/2310.15757
With the growing capabilities and pervasiveness of AI systems, societies must collectively choose between reduced human autonomy, endangered democracies and limited human rights, and AI that is aligned to human and social values, nurturing collaborat
Externí odkaz:
http://arxiv.org/abs/2307.06159
The present work is part of a research line seeking to uncover the mysteries of what lies behind people's musical preferences in order to provide better music recommendations. More specifically, it takes the angle of personal values. Personal values
Externí odkaz:
http://arxiv.org/abs/2302.10088