DocumentCode
2339322
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
fYear
1994
fDate
7-9 Sept. 1994
Firstpage
230
Lastpage
241
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;
fLanguage
English
Publisher
ieee
Conference_Titel
From Perception to Action Conference, 1994., Proceedings
Print_ISBN
0-8186-6482-7
Type
conf
DOI
10.1109/FPA.1994.636107
Filename
636107
Link To Document