Groupthink

Russell, Jeffrey Sanford; Hawthorne, John; Buchak, Lara

doi:10.1007/s11098-014-0350-8

Cited by 33 publications

(36 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Importantly, linear opinion pooling does not commute with conditionalization, though geometric pooling does (Genest, 1984;Russell et al, 2015). As we will see, linear pooling does commute with imaging, though geometric pooling does not.…”

Section: External Bayesianitymentioning

confidence: 76%

“…As standardly pointed out, external Bayesianity is a generalization of the requirement that pooling and standard conditionalization commute (Wagner, 2009;Dietrich and List, 2014;Russell et al, 2015), because conditionalization on a common likelihood function generalizes standard Bayesian conditionalization on an event. A likelihood function, λ : Ω Ñ r0, 8q, is intended to encode, given any ω P Ω, how expected some evidence is with the number λpωq.…”

Section: External Bayesianitymentioning

confidence: 99%

“…The revision goes by equal-weight or near equal-weight linear pooling (Christensen, 2009). Some consequences of the failure of commutativity with conditionalization are highlighted in (Russell et al, 2015). As indicated above, Russell, et al allege that a variant of a diachronic Dutch book can be made against parties following such a policy of disagreement resolution.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Learning and Pooling, Pooling and Learning

Stewart

Quintana

2017

Erkenn

View full text Add to dashboard Cite

Abstract. We explore which types of probabilistic updating commute with convex IP pooling (Stewart and Ojea Quintana, 2017). Positive results are stated for Bayesian conditionalization (and a mild generalization of it), imaging, and a certain parameterization of Jeffrey conditioning. This last observation is obtained with the help of a slight generalization of a characterization of (precise) externally Bayesian pooling operators due to Wagner (2009). These results strengthen the case that pooling should go by imprecise probabilities since no precise pooling method is as versatile.

show abstract

Section: External Bayesianitymentioning

confidence: 76%

Section: External Bayesianitymentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Learning and Pooling, Pooling and Learning

Stewart

Quintana

2017

Erkenn

View full text Add to dashboard Cite

show abstract

“…I will not attempt a survey of impossibility theorems in the theory of probability aggregation (see Genest and Zidek 1986;Russell et al 2015;Dietrich and List 2016). Instead, I will simply look at the most obvious and popular probability aggregation rule, note one condition it violates, and then turn to a reasons-based approach to group credences.…”

Section: Group Credences and Probability Aggregationmentioning

confidence: 99%

“…If there are finitely many worlds in our probability space, then Neutrality can be achieved by having the prior be uniform, assigning each of the n worlds probability 1/n. But if there are infinitely many worlds, this is impossible (assuming countable additivity): 'there is no probability function on an infinite σ-algebra which is symmetric under arbitrary measurable permutations' (Russell et al 2015(Russell et al , 1300. But in my view, Neutrality is undermotivated.…”

Section: Continuitymentioning

confidence: 99%

Reasons, Coherence, and Group Rationality

Hedden

2018

Philos Phenomenol Research

View full text Add to dashboard Cite

If groups can have beliefs and other attitudes of their own, what determines which such attitudes the group rationally ought to have? A widespread presupposition is that group-level beliefs should be a function of the beliefs of the group's members, and similarly for other attitudes. But a host of impossibility theorems show that no such aggregation function can satisfy intuitively attractive constraints while ensuring coherent group-level attitudes. I argue that this presupposition is false. Group-level attitudes should be a function of group-level reasons (evidence, in the epistemic case), not individual-level attitudes. This allows for a theory of group rationality that (i) bypasses a host of pessimistic results in the literature on judgment aggregation and (ii) treats rational individual-level attitudes and rational group-level attitudes in parallel.

show abstract

Organizational Learning in the Age of Data

Banasiewicz

2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

The impact of information technologies is creating a new world yet not fully understood. The extent and speed of economic, life style and social changes already perceived in everyday life is hard to estimate without understanding the technological driving forces behind it. This series presents contributed volumes featuring the latest research and development in the various information engineering technologies that play a key role in this process.The range of topics, focusing primarily on communications and computing engineering include, but are not limited to, wireless networks; mobile communication; design and learning; gaming; interaction; e-health and pervasive healthcare; energy management; smart grids; internet of things; cognitive radio networks; computation; cloud computing; ubiquitous connectivity, and in mode general smart living, smart cities, Internet of Things and more. The series publishes a combination of expanded papers selected from hosted and sponsored European Alliance for Innovation (EAI) conferences that present cutting edge, global research as well as provide new perspectives on traditional related engineering fields. This content, complemented with open calls for contribution of book titles and individual chapters, together maintain Springer's and EAI's high standards of academic excellence. The audience for the books consists of researchers, industry professionals, advanced level students as well as practitioners in related fields of activity include information and communication specialists, security experts, economists, urban planners, doctors, and in general representatives in all those walks of life affected ad contributing to the information revolution.Indexing: This series is indexed in Scopus, Ei Compendex, and zbMATH.

show abstract

Groupthink

Cited by 33 publications

References 21 publications

Learning and Pooling, Pooling and Learning

Learning and Pooling, Pooling and Learning

Reasons, Coherence, and Group Rationality

Organizational Learning in the Age of Data

Contact Info

Product

Resources

About