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{{Inproceedings | {{Inproceedings | ||
|Referiert=True | |Referiert=True | ||
+ | |BibTex-ID=koenig:2009a | ||
|Title=Online and Onboard Evolution of Robotic Behavior Using Finite State Machines | |Title=Online and Onboard Evolution of Robotic Behavior Using Finite State Machines | ||
|Year=2009 | |Year=2009 | ||
|Month=Mai | |Month=Mai | ||
− | |Booktitle=Proceedings | + | |Booktitle=Proceedings of the 8th International Conference on Autonomous Agents And Multiagent Systems (AAMAS 2009) |
− | |Pages= | + | |Pages=1325-1326 |
+ | |Organization=International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) | ||
+ | |Publisher=ACM | ||
+ | |Address=Budapest, Hungary | ||
+ | |Editor=Decker, Sichman, Sierra and Castelfranchi | ||
+ | }} | ||
+ | {{Publikation Tool | ||
+ | |Tool=Organic Computing Learning Robots Arena | ||
}} | }} | ||
{{Publikation Details | {{Publikation Details | ||
− | |Abstract=In this paper, a control system representation based on finite state | + | |Abstract=In this paper, a control system representation based on finite state machines is utilized to build an evolutionary robotic framework where evolution is performed in a swarm of simple robots in an online and onboard manner. Experiments in simulation show that the framework is capable of robustly evolving basic benchmark behaviors like collision avoidance. |
− | machines is utilized to build an evolutionary robotic framework | + | |DOI Name=10.1145/1558109.1558275 |
− | where evolution is performed in a swarm of simple robots in an online and onboard manner. Experiments in simulation show that the framework is capable of robustly evolving basic benchmark behaviors like collision avoidance. | + | |Forschungsgruppe=Effiziente Algorithmen |
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− | |DOI Name= | ||
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− | |Forschungsgruppe= | ||
}} | }} | ||
{{Forschungsgebiet Auswahl | {{Forschungsgebiet Auswahl | ||
− | |Forschungsgebiet= | + | |Forschungsgebiet=Evolutionäre Robotik |
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Aktuelle Version vom 15. Juli 2015, 13:54 Uhr
Online and Onboard Evolution of Robotic Behavior Using Finite State Machines
Online and Onboard Evolution of Robotic Behavior Using Finite State Machines
Published: 2009
Mai
Herausgeber: Decker, Sichman, Sierra and Castelfranchi
Buchtitel: Proceedings of the 8th International Conference on Autonomous Agents And Multiagent Systems (AAMAS 2009)
Seiten: 1325-1326
Verlag: ACM
Erscheinungsort: Budapest, Hungary
Organisation: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Referierte Veröffentlichung
Kurzfassung
In this paper, a control system representation based on finite state machines is utilized to build an evolutionary robotic framework where evolution is performed in a swarm of simple robots in an online and onboard manner. Experiments in simulation show that the framework is capable of robustly evolving basic benchmark behaviors like collision avoidance.
DOI Link: 10.1145/1558109.1558275
Organic Computing Learning Robots Arena
Organic Computing, Agentensysteme, Evolutionäre Robotik