Search Results for author:
Found 3 papers, 2 papers with code
Intrinsically motivated graph exploration using network theories of human curiosity
The theories view curiosity as an intrinsic motivation to optimize for topological features of subgraphs induced by nodes visited in the environment.
Curiosity as filling, compressing, and reconfiguring knowledge networks
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.
Network structure and dynamics of effective models of non-equilibrium quantum transport
To elucidate and address this challenge, we study networks that represent non-equilibrium quantum-electronic transport through quantum antidot devices -- an example of an open, mesoscopic quantum system.
Mesoscale and Nanoscale Physics
