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  1. Article

    Open Access

    Unraveling symptom interplay: a network analysis of procrastination in gifted students

    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...

    Sajjad Bagheri, Hojjatollah Farahani, Peter Watson, Timea Bezdan in BMC Psychology (2024)

  2. No Access

    Chapter

    In Search of a Method

    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...

    Hojjatollah Farahani, Marija Blagojević in An Introduction to Artificial Psychology (2023)

  3. No Access

    Chapter

    Deep Neural Network

    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...

    Hojjatollah Farahani, Marija Blagojević in An Introduction to Artificial Psychology (2023)

  4. No Access

    Chapter

    Bayesian Inference and Models in AP

    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...

    Hojjatollah Farahani, Marija Blagojević in An Introduction to Artificial Psychology (2023)

  5. No Access

    Chapter

    Fuzzy Set Theory and Psychology

    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...

    Hojjatollah Farahani, Marija Blagojević in An Introduction to Artificial Psychology (2023)

  6. No Access

    Chapter

    Network Analysis in AP

    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...

    Hojjatollah Farahani, Marija Blagojević in An Introduction to Artificial Psychology (2023)

  7. No Access

    Chapter

    Feature Selection in AP

    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...

    Hojjatollah Farahani, Marija Blagojević in An Introduction to Artificial Psychology (2023)

  8. No Access

    Book

    An Introduction to Artificial Psychology

    Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R

    Hojjatollah Farahani (2023)

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    Chapter

    Artificial Psychology

    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 ...

    Hojjatollah Farahani, Marija Blagojević in An Introduction to Artificial Psychology (2023)

  10. No Access

    Chapter

    Fuzzy Cognitive Maps

    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...

    Hojjatollah Farahani, Marija Blagojević in An Introduction to Artificial Psychology (2023)

  11. Article

    Open Access

    Psychometric properties of the Farsi version of the gaming disorder scale for adolescents (GADIS-A)

    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...

    Ali Mazaherizadeh, Zahra Taherifar, Hojjatollah Farahani in BMC Psychology (2022)