Publication Type |
technical report |
School or College |
College of Engineering |
Department |
Computing, School of |
Program |
Advanced Research Projects Agency |
Creator |
Henderson, Thomas C.; Cohen, Elaine |
Other Author |
Fan, Xiuyi; Alford, Aniesha; Grant, Edward |
Title |
Innate theories as a basis for autonomous mental development |
Date |
2009 |
Description |
Sloman (in robotics), Chomsky and Pinker (in natural language), and others, e.g., Rosenberg (in human cooperative behavior) have proposed that some abstract theories relevant to cognitive activity are encoded genetically in humans. The biological advantages of this are (1) to reduce the learning time for acquisition of speci c contextual models (e.g., from a language community; appropriate physics, etc.), and (2) to allow the determination of true statements about the world beyond those immediately available from direct experience. We believe that this hypothesis is a strong paradigm for the autonomous mental development of arti cial cognitive agents and we give speci c examples and propose a theoretical and experimental framework for this. In particular, we show that knowledge and exploitation of symmetry can lead to greatly reduced reinforcement learning times on a selected set of problems. |
Type |
Text |
Publisher |
University of Utah |
Subject |
Autonomous mental development |
Language |
eng |
Bibliographic Citation |
Henderson, T. C., Fan, X., Alford, A., Grant, E., & Cohen, E. (2009). Innate theories as a basis for autonomous mental development. UUCS-09-004. |
Series |
University of Utah Computer Science Technical Report |
Relation is Part of |
ARPANET |
Rights Management |
©University of Utah |
Format Medium |
application/pdf |
Format Extent |
195,200 bytes |
Source |
University of Utah School of Computing |
ARK |
ark:/87278/s6931b70 |
Setname |
ir_uspace |
ID |
702306 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6931b70 |