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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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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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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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Biased Knowers, Biased Reasons, and Biased Philosophers
International Journal for the Study of SkepticismAbstract In Bias: A Philosophical Study, Thomas Kelly offers a response to epistemological skepticism grounded in his account of bias. According to Kelly, the classic argument for skepticism is best understood as an attempt to show that our commonsense beliefs are biased against the skeptic. Kelly grants that this is true but argues that biased beliefs
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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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Combinatorica, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yossi Azar +4 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yossi Azar +4 more
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Explicitly biased generalization
Computational Intelligence, 1989During incremental concept learning from examples, tentative hypotheses are formed and then modified to form new hypotheses. When there is a choice among hypotheses, bias is used to express a preference. Bias may be expressed by the choice of hypothesis language, it may be implemented as an evaluation function for selecting among hypotheses already ...
Diana F. Gordon, Donald Perlis
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Combinatorics, Probability and Computing, 1998
Let TBin(N, n, q) be the game on the complete graph KN in which two players, the Breaker and the Maker, alternately claim one and q edges, respectively. The Maker's aim is to build a binary tree on n<N vertices in n−1 turns while the Breaker tries to prevent him from doing so.
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Let TBin(N, n, q) be the game on the complete graph KN in which two players, the Breaker and the Maker, alternately claim one and q edges, respectively. The Maker's aim is to build a binary tree on n<N vertices in n−1 turns while the Breaker tries to prevent him from doing so.
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Choice of Biasing Function for Source Biasing
Nuclear Science and Engineering, 1986Two different descriptions have been used for Monte Carlo source biasing. One relies on a direct optimization of biasing parameters, the other on an intuitive application of the adjoint flux. But use of the adjoint flux is based on the assumption that importance sampling will be used throughout the calculation, and that source sampling will not be ...
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