Incorporating social knowledge structures into computational models.

ABSTRACT: To navigate social interactions successfully, humans need to continuously learn about the personality traits of other people (e.g., how helpful or aggressive is the other person?). However, formal models that capture the complexities of social learning processes are currently lacking. In this study, we specify and test potential strategies that humans can employ for learning about others. Standard Rescorla-Wagner (RW) learning models only capture parts of the learning process because they neglect inherent knowledge structures and omit previously acquired knowledge. We therefore formalize two social knowledge structures and implement them in hybrid RW models to test their usefulness across multiple social learning tasks. We name these concepts granularity (knowledge structures about persona

SUBMITTER: Frolichs KMM 

PROVIDER: S-EPMC9584930 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature