Curiosity as filling, compressing, and reconfiguring knowledge networks

1 code implementation • 3 Apr 2022 • Shubhankar P. Patankar, Dale Zhou, Christopher W. Lynn, Jason Z. Kim, Mathieu Ouellet, Harang Ju, Perry Zurn, David M. Lydon-Staley, Dani S. Bassett

We formalize curiosity as the process of building a growing knowledge network to quantitatively investigate information gap theory, compression progress theory, and the conformational change theory of curiosity.

The growth and form of knowledge networks by kinesthetic curiosity

no code implementations • 4 Jun 2020 • Dale Zhou, David M. Lydon-Staley, Perry Zurn, Danielle S. Bassett

The practice of curiosity can be viewed as an extended and open-ended search for valuable information with hidden identity and location in a complex space of interconnected information.

Model-based Reinforcement Learning Philosophy