DocumentCode :
3726599
Title :
The Benefits of Adaptive Behavior and Morphology for Cooperation
Author :
Jamie Hewland;Geoff Nitschke
Author_Institution :
Dept. of Comput. Sci., Univ. of Cape Town, Cape Town, South Africa
fYear :
2015
Firstpage :
1047
Lastpage :
1054
Abstract :
This is a study on the role of morphology (sensor configuration) and behavioral (control system) adaptation in simulated robot teams that must accomplish cooperative tasks. The research objective was to elucidate the necessary features and computational mechanics of a method that automates the behavior-morphology design of robot teams that must accomplish cooperative tasks (tasks that cannot be optimally solved by individual robots). Results indicate that automating behavior morphology design is beneficial as task complexity increases, compared to evolving behaviors in fixed morphology teams. However, increased task complexity does not necessarily equate to the evolution of increased morphological complexity in teams.
Keywords :
"Robot sensing systems","Morphology","Complexity theory","Topology","Artificial neural networks","Sociology"
Publisher :
ieee
Conference_Titel :
Computational Intelligence, 2015 IEEE Symposium Series on
Print_ISBN :
978-1-4799-7560-0
Type :
conf
DOI :
10.1109/SSCI.2015.151
Filename :
7376727
Link To Document :
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