Skip to main content Accessibility help
×
Home
Hostname: page-component-59b7f5684b-9m8n8 Total loading time: 0.981 Render date: 2022-09-24T17:53:56.282Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "useRatesEcommerce": false, "displayNetworkTab": true, "displayNetworkMapGraph": false, "useSa": true } hasContentIssue true

Maximal mutual information, not minimal entropy, for escaping the “Dark Room”

Published online by Cambridge University Press:  10 May 2013

Daniel Ying-Jeh Little
Affiliation:
Redwood Center for Theoretical Neuroscience, University of California–Berkeley, Berkeley, CA 94720-3198. dylittle@berkeley.eduhttp://redwood.berkeley.edu/wiki/Daniel_Littlefsommer@berkeley.eduhttp://redwood.berkeley.edu/wiki/Fritz_Sommer
Friedrich Tobias Sommer
Affiliation:
Redwood Center for Theoretical Neuroscience, University of California–Berkeley, Berkeley, CA 94720-3198. dylittle@berkeley.eduhttp://redwood.berkeley.edu/wiki/Daniel_Littlefsommer@berkeley.eduhttp://redwood.berkeley.edu/wiki/Fritz_Sommer

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.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ay, N., Bertschinger, N., Der, R., Güttler, F. & Olbrich, E. (2008) Predictive information and explorative behavior of autonomous robots. The European Physical Journal B – Condensed Matter and Complex Systems 63(3):32939.Google Scholar
Crutchfield, J. P. & Young, K. (1989) Inferring statistical complexity. Physical Review Letters 63:105108.CrossRefGoogle ScholarPubMed
Friston, K. & Stephan, K. (2007) Free energy and the brain. Synthese 159(3):417–58.CrossRefGoogle Scholar
Little, D. Y. & Sommer, F. T. (2011) Learning in embodied action-perception loops through exploration. Online Publication arXive:1112.1125.Google Scholar
Still, S. (2009) Information-theoretic approach to interactive learning. Europhysics Letters 85:28005.CrossRefGoogle Scholar
Tishby, N., Pereira, F. C. & Bialek, W. (1999) The information bottleneck method. In: Proceedings of the 37th Allerton Conference on Communication, Control, and Computing, ed. Hajek, B. & Sreenivas, R. S., pp. 368–77. University of Illinois Press.Google Scholar

Save article to Kindle

To save this article to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Maximal mutual information, not minimal entropy, for escaping the “Dark Room”
Available formats
×

Save article to Dropbox

To save this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you used this feature, you will be asked to authorise Cambridge Core to connect with your Dropbox account. Find out more about saving content to Dropbox.

Maximal mutual information, not minimal entropy, for escaping the “Dark Room”
Available formats
×

Save article to Google Drive

To save this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you used this feature, you will be asked to authorise Cambridge Core to connect with your Google Drive account. Find out more about saving content to Google Drive.

Maximal mutual information, not minimal entropy, for escaping the “Dark Room”
Available formats
×
×

Reply to: Submit a response

Please enter your response.

Your details

Please enter a valid email address.

Conflicting interests

Do you have any conflicting interests? *