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Evaluation of the Quality Decision-Making Practices Utilized by the Zambia Medicines Regulatory Authority Technical Committees. [PDF]
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SSRN Electronic Journal, 2023
We find empirical evidence that surveys of professional forecasters are biased by strategic incentives. First, we find that individual forecasts overreact to idiosyncratic information but underreact to common information. We show this is consistent with a model of strategic diversification incentives in forecast reporting where forecasters want to ...
Gemmi, Luca, Valchev, Rosen
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We find empirical evidence that surveys of professional forecasters are biased by strategic incentives. First, we find that individual forecasts overreact to idiosyncratic information but underreact to common information. We show this is consistent with a model of strategic diversification incentives in forecast reporting where forecasters want to ...
Gemmi, Luca, Valchev, Rosen
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Public Choice, 2008 We examine the effects of providing more accurate information to a political decision-maker lobbied by competing interests. We investigate how this bias in the direction of the correct decision affects efficiency, measured (inversely) by both the probability of taking an incorrect decision, and the amount of social waste associated to lobbying ...
Matthias Dahm, Nicolás Porteiro
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The cognitive biases of cognitive biases
Emergency Medicine Australasia, 2021AbstractAn increased awareness of the cognitive biases of clinical decision making over the last decade has not resulted in a corresponding decrease in clinician error. The inappropriate use of cognitive bias labels in adverse incident reviews can result in unintentional or intentional blame.
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Journalism Studies, 2012
This study investigated the causes of individuals’ perceived news bias in an authoritarian press system—Singapore. We proposed two explanations for individuals’ perception of news article slant: the judgment-heuristic explanation and the attitude-influenced explanation.
Stella C. Chia, Mark Cenite
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This study investigated the causes of individuals’ perceived news bias in an authoritarian press system—Singapore. We proposed two explanations for individuals’ perception of news article slant: the judgment-heuristic explanation and the attitude-influenced explanation.
Stella C. Chia, Mark Cenite
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Proceedings of the AAAI Conference on Artificial Intelligence, 2014
We present a novel extension of normal form games that we call biased games. In these games, a player's utility is influenced by the distance between his mixed strategy and a given base strategy. We argue that biased games capture important aspects of the interaction between software agents.
Ioannis Caragiannis +2 more
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We present a novel extension of normal form games that we call biased games. In these games, a player's utility is influenced by the distance between his mixed strategy and a given base strategy. We argue that biased games capture important aspects of the interaction between software agents.
Ioannis Caragiannis +2 more
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Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146), 2002
In the quest for machines that are able to learn, reinforcement learning (RL) is found to be an appealing learning methodology. A known problem in this learning method, however is that it takes too long before the robot learns to associate suitable situation-action pairs. Due to this problem, RL has remained applicable only to simple tasks and discrete
Getachew Hailu, Gerald Sommer
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In the quest for machines that are able to learn, reinforcement learning (RL) is found to be an appealing learning methodology. A known problem in this learning method, however is that it takes too long before the robot learns to associate suitable situation-action pairs. Due to this problem, RL has remained applicable only to simple tasks and discrete
Getachew Hailu, Gerald Sommer
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Proceedings of the twenty-fifth annual ACM symposium on Theory of computing - STOC '93, 1993
Summary: A slightly random source (with bias \(\varepsilon)\) is a sequence \({\mathbf x} = ({\mathbf x}_1, {\mathbf x}_2, \dots, {\mathbf x}_n)\) of random bits such that the conditional probability that \({\mathbf x}_i = 1\), given the outcomes of the first \(i - 1\) bits, is always between \({1 \over 2} - \varepsilon\) and \({1 \over 2 ...
Ravi B. Boppana, Babu O. Narayanan
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Summary: A slightly random source (with bias \(\varepsilon)\) is a sequence \({\mathbf x} = ({\mathbf x}_1, {\mathbf x}_2, \dots, {\mathbf x}_n)\) of random bits such that the conditional probability that \({\mathbf x}_i = 1\), given the outcomes of the first \(i - 1\) bits, is always between \({1 \over 2} - \varepsilon\) and \({1 \over 2 ...
Ravi B. Boppana, Babu O. Narayanan
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