APPROXIMATION OF EMPOWERMENT IN THE CONTINUOUS DOMAIN

Christoph Salge (), Cornelius Glackin () and Daniel Polani ()
Additional contact information
Christoph Salge: Adaptive Systems Research Group, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK
Cornelius Glackin: Adaptive Systems Research Group, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK
Daniel Polani: Adaptive Systems Research Group, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK

Advances in Complex Systems (ACS), 2013, vol. 16, issue 02n03, 1-29

Abstract: Theempowermentformalism offers a goal-independent utility function fully derived from an agent's embodiment. It produces intrinsic motivations which can be used to generate self-organizing behaviors in agents. One obstacle to the application of empowerment in more demanding (esp. continuous) domains is that previous ways of calculating empowerment have been very time consuming and only provided a proof-of-concept. In this paper we present a new approach to efficiently approximate empowerment as a parallel, linear, Gaussian channel capacity problem. We use pendulum balancing to demonstrate this new method, and compare it to earlier approximation methods.

Keywords: Empowerment; information theory; channel capacity; perception-action loop; self-organization; continuous domain; control theory; goal independence (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525912500798
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:16:y:2013:i:02n03:n:s0219525912500798

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219525912500798

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().