Abstract:
There are many different approaches to building a system that can engage in autonomous mental development. In this paper, we present an approach based on what we term sel...Show MoreMetadata
Abstract:
There are many different approaches to building a system that can engage in autonomous mental development. In this paper, we present an approach based on what we term self-understanding, by which we mean the explicit representation of and reasoning about what a system does and does not know, and how that knowledge changes under action. We present an architecture and a set of representations used in two robot systems that exhibit a limited degree of autonomous mental development, which we term self-extension. The contributions include: representations of gaps and uncertainty for specific kinds of knowledge, and a goal management and planning system for setting and achieving learning goals.
Published in: IEEE Transactions on Autonomous Mental Development ( Volume: 2, Issue: 4, December 2010)