Self-understanding and self-extension: a systems and representational approach

Wyatt, Jeremy L. and Aydemir, Alper and Brenner, Michael and Hanheide, Marc and Hawes, Nick and Jensfelt, Patric and Kristan, Matej and Kruijff, Geert-Jan M. and Lison, Pierre and Pronobis, Andrzej and Sjoo, Kristoffer and Vrecko, Alen and Zender, Hendrik and Zillich, Michael and Skocaj, Danijel (2010) Self-understanding and self-extension: a systems and representational approach. Autonomous Mental Development, IEEE Transactions on, 2 (4). pp. 282-303. ISSN 1943-0604

Documents
Wyatt2010-Self-Understanding_and_Self-Extension_A_Systems_and_Representational_Approach.pdf
[img]
[Download]
Request a copy
[img] PDF
Wyatt2010-Self-Understanding_and_Self-Extension_A_Systems_and_Representational_Approach.pdf - Whole Document
Restricted to Repository staff only

1MB

Full text URL: http://dx.doi.org/10.1109/TAMD.2010.2090149

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 em self-understanding, by which we mean the use of explicit representation of and reasoning about what a system does and doesn't know, and how that understanding changes under action. We present a coherent architecture and a set of representations used in two robot systems that exhibit a limited degree of autonomous mental development, what we term em self-extension. The contributions include: representations of gaps and uncertainty for specific kinds of knowledge, and a motivational and planning system for setting and achieving learning goals

Item Type:Article
Additional Information: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 em self-understanding, by which we mean the use of explicit representation of and reasoning about what a system does and doesn't know, and how that understanding changes under action. We present a coherent architecture and a set of representations used in two robot systems that exhibit a limited degree of autonomous mental development, what we term em self-extension. The contributions include: representations of gaps and uncertainty for specific kinds of knowledge, and a motivational and planning system for setting and achieving learning goals
Keywords:Robotics, Human-robot interaction, Autonomous agents, Learning systems, Robots, Uncertainty
Subjects:H Engineering > H670 Robotics and Cybernetics
Divisions:College of Science > School of Computer Science
ID Code:6699
Deposited By: Marc Hanheide
Deposited On:26 Oct 2012 09:50
Last Modified:13 Mar 2013 09:18

Repository Staff Only: item control page