: : Elements of Artificial Emotion
Recent implementations of ASD, with learning in situated/embodied form, increased the potential for more
timely, dynamic, and vigorous interactions between the autonomous agent and its environment than Maes'
simulation of ASD demonstrated and implied. The most recent implementations of ASD is an attempt to
create a framework in which the Urge Theory of M. Toda can be investigated. It produced improvements in
implementational efficiency and theoretical accuracy of ASD. The ASD network gets inputs from several
different sensors (including vision), and supports learning to change inter-agent network relationships.
Emotional states such as fear, curiosity, affection-seeking, hunger, joy, irritation, and anger are supported
as emergent phenomena. The robot's on-board voice synthesis unit announces its internal states.
© 2008, AAI Canada, Inc.
112 John Cavanaugh Drive, Ottawa,
Ontario, Canada K0A 1L0
TEL: +1.613.839.6161 or 1.800.895.1122 ; FAX: +1.613.839.6616
AAI Canada, Inc. provides this information as an informational tool to the public,
and is not responsible for any errors in content. All information should be verified by the reader.
General Inquiries: Contact Us
Technical Inquiries: Webmaster