Pregled bibliografske jedinice broj: 831429
ASSISI: Charged hot bees shakin' in the spotlight
ASSISI: Charged hot bees shakin' in the spotlight // 2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)
Philadelphia (PA), Sjedinjene Američke Države: Institute of Electrical and Electronics Engineers (IEEE), 2013. str. 259-260 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 831429 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
ASSISI: Charged hot bees shakin' in the spotlight
Autori
Schmickl, Thomas ; Szopek, Martina ; Bodi, Michael ; Hahshold, Sibylle ; Radspieler, Gerard ; Thenius, Ronald ; Bogdan, Stjepan ; Miklic, Damjan ; Griparic, Karlo ; Haus, Tomislav ; Kernbach, Serge
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2013, 259-260
Skup
2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)
Mjesto i datum
Philadelphia (PA), Sjedinjene Američke Države, 09.09.2013. - 13.09.2013
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
ASSISI project; artificial agents; automated model-adaptation; automated model-generation; bio-hybrid system; collective information processing
Sažetak
In this article we describe the concept of generating a mixed society of honeybees and artificial (robotic) agents in the project ASSISI|bf. We discuss the motivation of generating a mixed society as novel bio-hybrid system that can achieve self-awareness, self-regulation and environmental awareness through self-organization and collective information processing. In our approach the artificial agents communicate with the natural agents through 4 physical channels, which are emphasized in this article: temperature, vibration, electromagnetic fields, and light. We also discuss our methodology of automated model-generation and model-adaptation through evolutionary robotics principles.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb