نتایج جستجو برای: regret eating

تعداد نتایج: 57757  

1994
John Quiggin

The regret theory of choice under uncertainty proposed by Loomes and Sugden has performed well in explaining and predicting violations of Expected Utility theory. the original version of the model was confined to pairwise choices, which limited its usefulness as an economic theory of choice. Axioms for a more general form of regret theory have been proposed by Loomes and Sugden. In this paper, ...

2008
Carlos E. Laciana Elke U. Weber

A unified parameterization of an expected utility model corrected for regret and disappointment effects is presented, constrained to conform to a wellknown choice pattern, the common consequence effect, a special case of the Allais paradox. For choices subject to regret and disappointment effects to be consistent with this choice pattern, the function that corrects the utility of the obtained o...

2015
Martin C. S. Wong Jessica Y. L. Ching Victor C. W. Chan Renee Bruggemann Thomas Y. T. Lam Arthur K. C. Luk Justin C. Y. Wu Francis K. L. Chan Joseph J. Y. Sung

PURPOSE Very few studies examined the issue of regret on choosing colorectal cancer (CRC) screening tests. We evaluated the determinants of regret and tested the hypothesis that regret over screening choices was associated with poorer screening compliance. METHODS A bowel cancer screening centre invited all Hong Kong citizens aged 50-70 years who were asymptomatic of CRC to participate in fre...

2010
Gharad Bryan Dean Karlan Scott Nelson

People set goals. They promise to smoke less, to save more, to drink less, to work more, to eat less and to exercise more. They set goals with varying levels of formality, making promises to themselves, vows to spouses, or bets with friends. These same people regularly fail to meet their goals. They keep smoking, spend money on things they later regret, and throw out perished vegetables while e...

Journal: :J. Economic Theory 2013
Yannick Viossat Andriy Zapechelnyuk

Potential based no-regret dynamics are shown to be related to fictitious play. Roughly, these are ε-best reply dynamics where ε is the maximal regret, which vanishes with time. This allows for alternative and sometimes much shorter proofs of known results on convergence of no-regret dynamics to the set of Nash equilibria.

2008
Julio J. Rotemberg

A model is considered where firms internalize the regret costs that consumers experience when they see an unexpected price change. Regret costs are assumed to be increasing in the size of price changes and this can explain why the size of price increases is less sensitive to inflation than in models with fixed costs of changing prices. The latter predict unrealistically large responses of price...

Journal: :JCP 2012
Weibing Peng Qihai Zhou Yan Li

the non-definite multi-attribute decision making problem is the further expansion of research to the traditional multi-attribute decision making problem. In the actual decision-making, because of policy-making question's complexity, decision-making information acquisition costs and other reasons, the decision information which the policy-maker can obtain are mostly ambiguous, so in the real lif...

Journal: :Computers in Human Behavior 2016
Puneet Kaur Amandeep Dhir Sufen Chen Risto Rajala

Recent research has emphasized the exponential increase in the online regret experience among online users. Such experience results in poor satisfaction, brand switching, and even service discontinuity. However, little prior research has investigated the relative influence of online platform characteristics and individual differences (such as demographics) in predicting the online regret experi...

2009
Jan-P. Calliess

No-regret algorithms are powerful tools for learning in online convex problems that have received increased attention in recent years. Considering affine and external regret, we investigate what happens when a set of no-regret learners (voters) merge their respective strategies in each learning iteration to a single, common one in form of a convex combination. We show that an agent who executes...

Journal: :CoRR 2017
Zifan Li Ambuj Tewari

Recent work on follow the perturbed leader (FTPL) algorithms for the adversarial multi-armed bandit problem has highlighted the role of the hazard rate of the distribution generating the perturbations. Assuming that the hazard rate is bounded, it is possible to provide regret analyses for a variety of FTPL algorithms for the multi-armed bandit problem. This paper pushes the inquiry into regret ...

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