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Details for article 5 of 9 found articles
| Title: |
On the design of neuro-controllers for individual and social learning behaviour in autonomous robots: an evolutionary approach |
| Author: |
Pini, Giovanni Tuci, Elio |
| Appeared in: |
Connection science |
| Paging: | Volume 20 (2008) nr. 2-3 pages 211-230 |
| Year: |
2008-06 |
| Contents: |
In biology/psychology, the capability of natural organisms to learn from the observation/interaction with conspecifics is referred to as social learning. Roboticists have recently developed an interest in social learning, since it might represent an effective strategy to enhance the adaptivity of a team of autonomous robots. In this study, we show that a methodological approach based on artifcial neural networks shaped by evolutionary computation techniques can be successfully employed to synthesise the individual and social learning mechanisms for robots required to learn a desired action (i.e. phototaxis or antiphototaxis). |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 5 of 9 found articles
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