Artificial Bias
نویسندگان
چکیده
منابع مشابه
Artificial neural networks in bias dependant noise modeling of MESFETs
An efficient procedure for accurate noise parameter prediction of microwave MESFETs / HEMTs for various bias conditions is proposed in this paper. It is based on an improved Pospieszalski’s noise model. The bias dependences of the noise model elements are modeled by an artificial neural network. Therefore, it is necessary to acquire the measured data and extract the equivalent circuit parameter...
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The evolution of life on earth has been characterized by generalized long-term increases in phenotypic complexity. Although natural selection is a plausible cause for these trends, one alternative hypothesis--generative bias--has been proposed repeatedly based on theoretical considerations. Here, we introduce a computational model of a developmental system and use it to test the hypothesis that...
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Using an agent-based model we examine the dynamics of stock price fluctuations and their rates of return in an artificial financial market composed of fundamentalist and chartist agents with and without confidence. We find that chartist agents who are confident generate higher price and rate of return volatilities than those who are not. We also find that kurtosis and skewness are lower in our ...
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Rational agents are usually built to maximize rewards. However, AGI agents can find undesirable ways of maximizing any prior reward function. Therefore value learning is crucial for safe AGI. We assume that generalized states of the world are valuable – not rewards themselves, and propose an extension of AIXI, in which rewards are used only to bootstrap hierarchical value learning. The modified...
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Background & Aim: Inability to control drug use is considered a core aspect of drug dependency. Part of this inability is due to cognitive biases resulting from individuals’ constant usage of drugs. The aim of the present study was to compare the effectiveness of cognitive bias modification in real and placebo conditions on attentional bias and approach bias in opium abusers. Methods: This stud...
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ژورنال
عنوان ژورنال: OECD Observer
سال: 2019
ISSN: 1561-5529
DOI: 10.1787/ff3c6202-en