DocumentCode :
3157436
Title :
Approaches to dynamic team sizes
Author :
Nitschke, G.S. ; Tolkamp, S.M.
Author_Institution :
Dept. of Comput. Sci., Univ. of Cape Town, Cape Town, South Africa
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
66
Lastpage :
73
Abstract :
This paper elucidates the impact of comparative mechanisms for dynamically adapting team sizes in simulated robot teams that must accomplish a collective construction task. The first approach adapts team size using genotypic diversity of team behaviors in a population of behaviors. The second approach adapts team size as a function of behavioral success (degree of task accomplishment). Task complexity in the collective construction task is equated with the degree of cooperation required between robots for task accomplishment. Task complexity, and hence the most suitable team size, is not known a priori. Results indicate that adapting team size based on genotype diversity is beneficial for collective construction when the task requires a low degree of cooperation. However, when a relatively high degree of cooperation is required for task accomplishment, then dynamically adapting team size according to genotype diversity or behavioral efficacy yields comparable results.
Keywords :
multi-robot systems; robot dynamics; collective construction task; dynamic team sizes; genotype diversity; simulated robot teams; task accomplishment; task complexity; Complexity theory; Robot sensing systems; Silicon; Sociology; Statistics; Topology; Collective Construction; Neuro-Evolution; Team Size Adaptation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotic Intelligence In Informationally Structured Space (RiiSS), 2013 IEEE Workshop on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/RiiSS.2013.6607931
Filename :
6607931
Link To Document :
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