An Introduction to Artificial Psychology
Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R
Article
This study explores the intricate web of symptoms experienced by academically gifted high school students, focusing on procrastination, rumination, perfectionism, and cognitive flexibility. The well-being of t...
Article
Chapter
Internalized shame is a degrading emotional experience that is associated with avoidance tendencies, negative self-esteem, and feelings of self-control (such as self-loathing) and it can affect a person’s cogn...
Article
Problematic eating behaviors can indicate obesity-related problems. Food addiction (FA) is not classified as an official diagnosis. However, given the many commonalities between FA and binge-eating disorder (B...
Article
The purpose of this study was to predict Social Emotional Competence based on childhood trauma, internalized shame, disability/shame scheme, cognitive flexibility, distress tolerance, and alexithymia in an Ira...
Article
The literature has shown that sexual health literacy has limited applicability in many develo** countries. The present study, therefore, aimed to develop and examine the validity and reliability of the Sexua...
Chapter
We present the assumptions and philosophy underlying artificial psychology (AP) and motivate the need for a set of models that can incorporate information from complex mental systems using ideas such as fuzzin...
Chapter
A particular form of network used in brain imaging, the neural network, is the topic of this chapter. Properties of neural nets are presented together with a detailed description of the structure of neurons an...
Chapter
We begin with the Bayes theorem, which combines a priori information with information from the data to create a posterior conditional probability, such as the probability of a patient having a severe memory im...
Chapter
Fuzzy set theory and its role in psychology are introduced in this chapter. Fuzzy models accept that the human perception of the world is not black and white but includes a degree of grayness (e.g., in diagnos...
Chapter
Further examples of network analysis using the directed graphs introduced in Chap. 4 are given. These networks are graphs showing the degree of relationship between variables. Given the complexity of relations...
Chapter
In machine learning, there is often a large range of possible features to use for classification into groups. This chapter concentrates on methods of feature selection to narrow down characteristics of interes...
Book
Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R
Chapter
Various key concepts are introduced here, including artificial intelligence and explainable artificial intelligence and their implementation in artificial psychology in model building. We recommend the use of ...
Chapter
The importance of shared personal experience and how this is quantified are shown. In particular, the Delphi method introduced in the 1960s leads to the gathering of qualitative information from surveys or che...
Article
Gaming disorder was added to the 11th version of the international classification of disease by the world health organization in early 2019. Adolescents are the most vulnerable group in this area. Thus, a scre...
Article
This article introduces a new self-report measure of perfectionism: the Spiritual/Religious Perfectionism Scale (SRPS). Following preliminary psychometric evidence for a 20-item SRPS (Besharat, 2017), the pre...
Chapter and Conference Paper
Thematic Analysis is a qualitative method. The themes that are extracted and conceptualized during the coding process can be interpreted in a thematic network. Global, organizing and basic themes are interpret...