HIGHLIGHTS
SUMMARY
Costa et_al, 2002; Manor and Lipsitz, 2012). The authors build on earlier work (Gauvrit et_al, 2014a,b, 2015, 2017a,b; Zenil, 2017, Zenil et_al, 2020) to show how algorithmic information theory provides measures for the highorder characterization of processes produced by deterministic choices (Zenil et_al, 2018, 2019). Recent progress in cognitive science suggests a Bayesian view of cognition as constituting a predictive system (Fahlman et_al, 1983; Rao and Ballard, 1999; Friston and Stephan, 2007; Friston, 2010). At the core of this view is the notion that the cognitive apparatus incorporates a model of the . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.