Results 21 to 30 of about 24,006 (215)
Models of Dynamic Belief Updating in Psychosis—A Review Across Different Computational Approaches
To understand the dysfunctional mechanisms underlying maladaptive reasoning of psychosis, computational models of decision making have widely been applied over the past decade.
Teresa Katthagen +10 more
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A Semantic-Based Belief Network Construction Approach in IoT
Uncertainty is intrinsic in most of the complex systems, especially when the systems have to interact with the physical environment; therefore, handling uncertainty is critical in the Internet of Things (IoT).
Yuji Dong, Kaiyu Wan, Yong Yue
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Bots’ ability to influence public discourse is difficult to estimate. Recent studies found that hyperpartisan bots are unlikely to influence public opinion because bots often interact with already highly polarized users. However, previous studies focused
N. Pescetelli, D. Barkoczi, M. Cebrian
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We investigated whether 18-month-old children were capable of updating third-person representations about object location based on verbal information. Whether verbal information was applicable to the update was determined by the pragmatic context.
Júlia Baross +4 more
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Computational mechanisms of belief updating in relation to psychotic-like experiences
IntroductionPsychotic-like experiences (PLEs) may occur due to changes in weighting prior beliefs and new evidence in the belief updating process. It is still unclear whether the acquisition or integration of stable beliefs is altered, and whether such ...
Sophie Pauline Fromm +15 more
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Belief Update Through Semiorders
Belief change is a core component of intelligent reasoning, enabling agents to adapt their beliefs in response to new information. A prominent form of belief change is belief revision, which involves altering an agent’s beliefs about a static (unchanging)
Theofanis Aravanis
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Patients with anorexia nervosa (AN) typically hold altered beliefs about their body that they struggle to update, including global, prospective beliefs about their ability to know and regulate their body and particularly their interoceptive states. While
Alkistis Saramandi +12 more
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Conditional Belief, Knowledge and Probability [PDF]
A natural way to represent beliefs and the process of updating beliefs is presented by Bayesian probability theory, where belief of an agent a in P can be interpreted as a considering that P is more probable than not P. This paper attempts to get at the
Jan van Eijck, Kai Li
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ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot +6 more
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Tensor networks contraction and the belief propagation algorithm
Belief propagation is a well-studied message-passing algorithm that runs over graphical models and can be used for approximate inference and approximation of local marginals.
R. Alkabetz, I. Arad
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