Titlebook: An Introduction to Artificial Psychology; Application Fuzzy Se Hojjatollah Farahani,Marija Blagojevi?,Sara Saljou Book 2023 The Editor(s) (

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https://doi.org/10.1007/978-3-8350-5438-7 models are an extension of the classical logistic regression model to incorporate a priori information into classification. The use of cross-validation in unbiased model assessment is presented and illustrated via k-fold cross-validation, which splits the data into design and test sets. Finally, th

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In Search of a Method,tion from complex mental systems using ideas such as fuzziness of a system and unsupervised algorithms that use artificial intelligence. We discuss the need for a multiplicity of modeling approaches to help us to understand the world. We mention issues involving hypothesis testing; in particular, we

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Artificial Psychology,cial psychology in model building. We recommend the use of a training set to estimate models and a separate set of data to test, in an unbiased manner, the predictive validity of the model obtained from the training set. This leads us to the increasingly popular techniques of machine learning and de

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Deep Neural Network, with a detailed description of the structure of neurons and artificial neurons that comprise these networks. A neural net is a conceptual model based upon the human brain. It has an observed input layer that connects to a middle, hidden layer consisting of an unobserved number of synapses and neuro

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Feature Selection in AP,feature selection to narrow down characteristics of interest to create more parsimonious and cost-effective models. Aspects of feature selection such as choice of method (wrapper, embedded, and filter), evaluation functions used to identify an optimal subset of features, and validation of model fit

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Bayesian Inference and Models in AP,h as the probability of a patient having a severe memory impairment given their gender. We then compare this approach with classical Fisherian inference giving Bayesian analogs based on summarizing the posterior distributions of estimates using percentiles to give medians and credible regions. Other