Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Bernemann, Rebecca"'
We introduce stochastic decision Petri nets (SDPNs), which are a form of stochastic Petri nets equipped with rewards and a control mechanism via the deactivation of controllable transitions. Such nets can be translated into Markov decision processes
Externí odkaz:
http://arxiv.org/abs/2303.13344
We consider probabilistic systems with hidden state and unobservable transitions, an extension of Hidden Markov Models (HMMs) that in particular admits unobservable {\epsilon}-transitions (also called null transitions), allowing state changes of whic
Externí odkaz:
http://arxiv.org/abs/2205.13871
This paper exploits extended Bayesian networks for uncertainty reasoning on Petri nets, where firing of transitions is probabilistic. In particular, Bayesian networks are used as symbolic representations of probability distributions, modelling the ob
Externí odkaz:
http://arxiv.org/abs/2009.14817
Publikováno v:
In Computers in Human Behavior September 2023 146
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
We want to gain first insights into how well users detect automated accounts, so called social bots, online. We specifically focus on the domain of political online communication, employing the psychological theory of motivated reasoning. We hypothes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d42d4c5451d297e8558185a46b432550
We investigate how users engage with social bots on Twitter.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5796c9599ee23d1747d6b91cff177865
Social bots are prevalent on social media platforms. To detect them, researchers have developed automated verification tools (for example, Botometer or DeBot). This work seeks to investigate under which circumstances such profile verification tools a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f51837a851f6ed0c831fc861e3ced5ac
In this study, we want to know how users engage with political social bots on Twitter. We propose that users prefer engagement with other human users over ambiguous users over social bot accounts. Our central hypothesis is that this engagement-prefer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::383876dad42ee0206caa8880b2a19fad