2026-05-30T14:39:13.975Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:3:11938 2026-05-27T12:02:12Z 3

Introduction to intricate artificial psychology 2026 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/11938 https://www.sciencedirect.com/science/chapter/edited-volume/abs/pii/B9780443302480000048 H. Farahani P. Watson N. Kovač T. Bezdan We begin by looking at some key concepts in understanding complex systems. We then introduce network analysis which presents a more thorough and intricate model of these systems than traditional approaches that often incorrectly assume linear relationships between elements of these systems (e.g., behaviors, symptoms of a disorder, and cognitive processes) and are not able to assess complex interactions between these elements. A particular network model, a graph neural network, is described, which can be utilized to predict brain function based on structural connectivity or to model the progression of neurological disorders. We regard the modeling of complex psychological systems using complex network analysis as intricate artificial psychology in recognition of psychological phenomena being investigated by machine learning algorithms. bookPart Academic Press 1 10 https://doi.org/10.1016/B978-0-443-30248-0.00004-8 Introduction to Intricate Artificial Psychology with Python