Title :
Vicarious learning in mobile neurally controlled agents: the V-MAXSON architecture
Author :
Grabbe, F.L. ; Dyer, Michael G.
Author_Institution :
Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
Abstract :
Extends MAXSON (a neural reinforcement learning system) to include vicarious learning. It shows that V-MAXSON can improve individual survival as well as promote survival of the group
Keywords :
learning (artificial intelligence); V-MAXSON architecture; mobile neurally controlled agents; neural reinforcement learning system; survival; vicarious learning;
Conference_Titel :
Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470)
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-721-7
DOI :
10.1049/cp:19991227
