title: Maximal mutual information, not minimal entropy, for escaping the "Dark Room".
abstract: A behavioral drive directed solely at minimizing prediction error would cause an agent to seek out states of unchanging, and thus easily predictable, sensory inputs (such as a dark room). The default to an evolutionarily encoded prior to avoid such untenable behaviors is unsatisfying. We suggest an alternate information theoretic interpretation to address this dilemma.
authors.affiliation: Redwood Center for Theoretical Neuroscience, University of California-Berkeley, Berkeley, CA 94720-3198, USA. dylittle@berkeley.edu
authors.forename: Daniel Ying-Jeh
authors.initials: DY
authors.lastname: Little
authors.forename: Friedrich Tobias
authors.initials: FT
authors.lastname: Sommer
mesh_terms: D001288:Attention / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D019336:Cognitive Science / Q000639:trends*; D006801:Humans; D010465:Perception / Q000502:physiology*