Title :
Why topological maps are useful for learning in an autonomous agent
Author :
Zrehen, Stephane ; Gaussier, Philippe
Author_Institution :
Microcomput. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Abstract :
We discuss the usefulness of topology presentation in an online learning neural control system. We discuss biological and information processing arguments. Then, we propose an experiment performed on a mobile robot that shows that with a probabilistic topological map (PTM) much less information needs to be learned than using a Winner Take All.
Keywords :
learning (artificial intelligence); mobile robots; neurocontrollers; probability; PTM; autonomous agent; information processing arguments; mobile robot; online learning neural control system; probabilistic topological map; topology presentation; Autonomous agents; Cognition; Control systems; Gaussian processes; Humans; Laboratories; Mobile robots; Network topology; Neural networks; Psychology;
Conference_Titel :
From Perception to Action Conference, 1994., Proceedings
Print_ISBN :
0-8186-6482-7
DOI :
10.1109/FPA.1994.636107