Robot Cognition using Bayesian Symmetry Networks
Anshul Joshi, Thomas C. Henderson, Wenyi Wang · 2014
[10] proposed a generative theory of shape, and general cognition, based on group actions on sets as defined by the wreath product. Our position expressed here is that this approach can provide a strong basis for robot cognition when: 1. tightly coupled to sensorimotor data and analysis, 2. used to structure both general concepts and specific instances, and 3. combined with a probabilistic framework (Bayesian networks) to characterize uncer-tainty. We describe a roadmap to achieve these and provide some evidence of feasibility. 1 1