Title :
An agent architecture with adaptive and learning capability
Author :
Hwang, Kao-Shing ; Hsu, Harry Chia-Hung ; Liu, Alan
Author_Institution :
Dept. of Electr. Eng., Nat. Chiing Cheng Univ., Chia-Yi, Taiwan
Abstract :
The decoder of AHC uses the BOXES algorithm to divide the input state variables into several regions (or boxes). The drawback of this division is that it strongly depends on an engineer´s expertise. In addition, the region of each box cannot be modified even when the working environment changes or the resolution is unsatisfactory. To solve this problem, we use the ART theory to improve the decoding mechanism of the AHC architecture to propose and ART-based AHC architecture. We use this architecture to construct three agents. Each agent can control the mobile robot individually, and they perform well in simulations.
Keywords :
ART neural nets; adaptive systems; learning (artificial intelligence); mobile robots; software agents; AHC; ART theory; BOXES algorithin; autonomous agent architecture; mobile robot; reinforcement learning; Autonomous agents; Bismuth; Control system synthesis; Decoding; Force control; Learning; Mobile robots; State-space methods; Subspace constraints; Wheels;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1182671
