Abstract
General Intelligence is not only characterized by the general representation and (relatively) general problem solving capabilities, but also by general motivation. Here, I sketch a framework for an extensible motivational system for cognitive agents, based on research in psychology. It draws on a finite set of pre-defined drives, which relate to needs of the system. Goals are established through reinforcement learning by interacting with an environment. © 2011 Springer-Verlag Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Bach, J. (2011). A motivational system for cognitive AI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6830 LNAI, pp. 232–242). https://doi.org/10.1007/978-3-642-22887-2_24
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
