Results 51 to 60 of about 506 (164)
The theoretical amount of mental effort an animal should exert depending on how routine a situation is, how accurately a cue or signal predicts an outcome, or how computationally complex a problem is. Abstract Our understanding of decision‐making processes and cognitive biases is ever increasing, thanks to an accumulation of testable models and a large
Julie A. Teichroeb +9 more
wiley +1 more source
This study proposes an analytical framework to characterize the response of urban travel to rainfall events. The study uses cell phone signalling‐based mobility big data before, during, and after the perturbations, with the 2021 Zhengzhou floods as a case study.
Qian Ye +4 more
wiley +1 more source
Belief‐updating biases hinder the correction of inaccurate beliefs and lead to suboptimal decisions. We complement Rabin and Schrag's (1999) portable extension of the Bayesian model by including conservatism in addition to confirmatory bias. Additionally, we show how to identify these two forms of biases from choices.
Ilke Aydogan +3 more
wiley +1 more source
Descriptive statistics of ambiguity and risk attitudes, and score of understanding the Ellsberg Paradox for the three intervention groups, Mean (Standard deviation).
Laurie R. Santos (8532054) +4 more
core +1 more source
Expected balanced uncertain utility
We introduce and analyze expected balanced uncertain utility (EBUU) theory. A prior and a balanced outcome‐set utility characterize an EBUU decision maker. Conditional on a reference or “balancing value,” the latter assigns a utility to each outcome‐set.
Simon Grant, Berend Roorda, Jingni Yang
wiley +1 more source
We explore the deliberate infusion of ambiguity into the design of contracts. We show that when the agent is ambiguity‐averse and hence chooses an action that maximizes their minimum utility, the principal can strictly gain from using an ambiguous contract, and this gain can be arbitrarily high.
Paul Dütting +3 more
wiley +1 more source
Chance, probability, and uncertainty at the edge of human reasoning: What is Knightian uncertainty?
Abstract Research Summary For more than a century, Frank Knight's Risk, Uncertainty, and Profit has significantly influenced entrepreneurship theory development by exploring the nature of uncertainty and the epistemic limits of entrepreneurial action.
David M. Townsend +2 more
wiley +1 more source
This paper proposes that there is a set of behavioral deviations from standard rational choices that differs from the rest of the deviations. This set is characterized by anxiety-based choices that are truly non-rational, whereas the rest consists of ...
Elias L. Khalil
doaj +1 more source
Source Dependence in Effort Provision
Abstract We examine source dependence in the setting of effort provision. Our first experiment elicits preference over uncertain piece rate schemes to perform a real‐effort task. Our second experiment elicits effort after receiving an uncertain gift. We vary the probability of winning and the familiarity of natural sources of uncertainty.
Yiting Chen, Songfa Zhong
wiley +1 more source
Affective Decision Making and the Ellsberg Paradox [PDF]
Affective decision-making is a strategic model of choice under risk and uncertainty where we posit two cognitive processes -- the "rational" and the "emotional" process. Observed choice is the result of equilibrium in this intrapersonal game.
Donald J. Brown, Anat Bracha
core +2 more sources

