Title
Quantifying Self-Organzing Behavior of Autonomous Robots
Paper 106 Details
Authors
Presentation Schedule
- Talk Time: 15:15
- Date: Thursday 23 July
- Session: Special Session – Quantifying Embodiment RCH/250 Thursday 23 July 14:00
Full Paper Download
Download via this paper's page on the MIT Press ECAL 2015 Proceedings website.
Abstract
In recent years research in autonomous robots has been more and more successful in developing algorithms for generating behavior from a generic taskindependent objective. Examples are intrinsic motivations for artificial curiosity, empowerment, homeokinesis, and maximizing predictive information. Independently of its origin, it would be useful to quantify behavior, in order to objectively compare algorithms with each other or even with human or animal movements. We investigate different methods for extracting characteristic measures based on information theoretic quantities.
