Results 231 to 240 of about 185,104 (250)
American Journal of Community Psychology, EarlyView.Abstract Mobile technologies have become significant resources for crisis communication and social support in recent years. However, despite empirical evidence pointing to the centrality of these technologies for parenthood in everyday life, it is yet unknown how parents' coping resources play a role in the digital environment.
Daphna Yeshua‐Katz +2 more
wiley +1 more source
American Journal of Community Psychology, EarlyView.Abstract Federal funding pauses, once considered rare, are increasingly disrupting the stability and continuity of community‐engaged research. Even projects with active, awarded grants are experiencing the strain of funding uncertainty, raising substantive concerns among research teams and community partners. These disruptions extend beyond operational
Brynn E. Sheehan
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American Journal of Community Psychology, EarlyView.Abstract Research‐Practice Partnerships seek to close the research‐practice gap through developing collaborative, authentic partnerships between researchers and community members. Our team has leveraged Research‐Practice Ambassadors to support socially just and equitable partnership processes in schools.
Danielle R. Hatchimonji +8 more
wiley +1 more source
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Anchored Belief Updating from Recommendations
SSRN Electronic Journal, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hyoeun Park, Jason Paulo Tayawa
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Belief Updating: Inference Versus Forecast Revision
SSRN Electronic Journal, 2021Individual forecasts of economic variables show widespread overreaction to news, but laboratory experiments on belief updating typically find underinference from signals. We provide new experimental evidence to connect these two seemingly inconsistent phenomena. Building on a classic experimental paradigm, we study how people make inferences and revise
Fan, Tony Q. +2 more
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2023
We study how contingent thinking - that is, reasoning through all possible contingencies without knowing which is realized - affects belief updating. According to the Bayesian benchmark, beliefs updated after exposure to new information should be equivalent to beliefs assessed for the contingency of receiving such information.
Aina, Chiara +2 more
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We study how contingent thinking - that is, reasoning through all possible contingencies without knowing which is realized - affects belief updating. According to the Bayesian benchmark, beliefs updated after exposure to new information should be equivalent to beliefs assessed for the contingency of receiving such information.
Aina, Chiara +2 more
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Bayesian updating and belief functions
IEEE Transactions on Systems, Man, and Cybernetics, 1992In a situation of uncertainty, the probability measure \(P\) is only known to belong to some set of probability measures \(\mathcal P\). Having observed a certain event \(E\), the true probability measure belongs to the set \({\mathcal P}^ E\) of conditionals of the members \(P\) of \(\mathcal P\) with respect to \(E\). Representing \({\mathcal P}^ E\)
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Belief Update as Social Choice
2010Dynamic epistemic-doxastic logics describe the new knowledge or new beliefs indexBelief of agents after some informational event has happened. Technically, this requires an update rule that turns a doxastic-epistemic modelM(recording the current information state of the agents) and a dynamic ‘event model’ E (modeling the relevant, possibly complex ...
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2000
In this paper we show how several different semantics for belief update can be expressed in a framework for reasoning about actions. This framework can therefore be considered as a common core of all these update formalisms, thus making it clear what they have in common.
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In this paper we show how several different semantics for belief update can be expressed in a framework for reasoning about actions. This framework can therefore be considered as a common core of all these update formalisms, thus making it clear what they have in common.
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Updating Directed Belief Networks
1999This paper deals with the knowledge representation and reasoning in directed belief networks. These networks are similar to those defined by Pearl (causal networks), but instead of probability functions, we use belief functions. Based on the work of Cano et al.
Boutheina Ben Yaghlane, Khaled Mellouli
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