title: Intentional change, intrinsic motivations, and goal generation.
abstract: Wilson et al. draw our attention to the problem of a science of intentional change. We stress the connection between their approach and existing paradigms for learning and goal generation that have been developed in machine learning, artificial intelligence, and psychology. These paradigms outline the structural principles of a domain-general and teleologically open agent.
authors.affiliation: Institute of Communication, Consumption, and Behavior "G. P. Fabris," IULM University, 20142 Milano, Italy. riccardo.manzotti@iulm.it paolo.moderato@iulm.it www.consciousness.it
authors.forename: Riccardo
authors.initials: R
authors.lastname: Manzotti
authors.affiliation: Institute of Communication, Consumption, and Behavior "G. P. Fabris," IULM University, 20142 Milano, Italy. riccardo.manzotti@iulm.it paolo.moderato@iulm.it www.consciousness.it
authors.forename: Paolo
authors.initials: P
authors.lastname: Moderato
mesh_terms: D001525:Behavioral Sciences; D001527:Behaviorism; D003468:Cultural Evolution; D006801:Humans