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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.
Path-dependent connectivity, not modularity, consistently predicts controllability of structural brain networks
Yet, the precise relationship between community structure in structural brain networks and the communication dynamics that can emerge therefrom is not well-understood.
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