%0 Journal Article %1 BBS:8918890 %A Little, Daniel Ying-Jeh %A Sommer, Friedrich Tobias %D 2013 %J Behavioral and Brain Sciences %K cognition cognitive neuroscience predictivecoding %N 03 %P 220--221 %R 10.1017/S0140525X12002415 %T Maximal mutual information, not minimal entropy, for escaping the “Dark Room” %U http://journals.cambridge.org/article_S0140525X12002415 %V 36 %X 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.

@article{BBS:8918890, abstract = { 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. }, added-at = {2013-06-14T13:03:44.000+0200}, author = {Little, Daniel Ying-Jeh and Sommer, Friedrich Tobias}, biburl = {https://www.bibsonomy.org/bibtex/2381d6013598e9490bac79118339877cb/yish}, doi = {10.1017/S0140525X12002415}, interhash = {0cd0b98cc7f76423bf8b268af85bfda2}, intrahash = {381d6013598e9490bac79118339877cb}, issn = {1469-1825}, journal = {Behavioral and Brain Sciences}, keywords = {cognition cognitive neuroscience predictivecoding}, month = {5}, number = 03, numpages = {2}, pages = {220--221}, timestamp = {2013-06-14T13:05:30.000+0200}, title = {Maximal mutual information, not minimal entropy, for escaping the “Dark Room”}, url = {http://journals.cambridge.org/article_S0140525X12002415}, volume = 36, year = 2013 }