• 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