Documenti accessibili
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Informazioni generali |
| Autore |
Montes-Gonzalez, Fernando; Contreras, Carlos M. |
| Pubblicato |
InTech Open Access Publisher, 2013
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| edizione |
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| ISBN |
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| Abstract |
In this paper we focus on the development of a
selection model that allows a robot to select pre‐evolved
behaviour in a motivated environment. A collection task
is set in an arena where the Khepera robot has to collect
cylinders, which simulate food. Therefore, two basic
motivations, labelled as ‘obesity’ and ‘anorexia’, both
affect the selection of the behavioural repertoire.
Additionally, in this model is possible to modulate the
model to be either more or less selective depending on
the tonic value of the simulated ‘mesolimbic/cortical
tone’. Next, we use evolution for optimizing the
motivated selection network employed for behavioural
switching. Finally, we describe the results of varying, by
hand and evolution, the levels of reward by the
mesolimbic‐cortical tone. |
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International Journal of Advanced Robotic Systems
Autore: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Pubblicato: 2004
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