By Topic

A class of BDI agent architectures for autonomous control

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
S. M. Veres ; Sch. of Eng. Sci., Univ. of Southampton, Highfield, UK ; J. Luo

A class of beliefs-desires-intentions (BDI) agent architecture is presented for control systems with a high degree of autonomy. The architecture contains agents for modelling, controller optimization, implementation and to monitor performance. The global convergence of performance of the agent system is proven under three mild assumptions. Relevant features of the agent structure are competing modellers and controllers. The benefit is an enhanced ability to learn new plant dynamics of varying complexity and controller adaptation. The new family of control agent architectures is called cautiously optimistic, a name to reflect the most important property of the new architecture: modelling results are applied with caution for control but current models are accepted until measurements do not contradict them with a margin. A cautiously optimistic control agent (COCA) is proven to have converging performance to a nearly optimal performance for stationary dynamics of a real plant under fairly general assumptions.

Published in:

Decision and Control, 2004. CDC. 43rd IEEE Conference on  (Volume:5 )

Date of Conference:

14-17 Dec. 2004