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  • 2008

  • Pini, Giovanni; Tuci, Elio (2008): On the design of neuro-controllers for individual and social learning behaviour in autonomous robots. An evolutionary approach. In: Connection Science 20 (2-3), S. 211-230. DOI: 10.1080/09540090802092014

    Abstract: 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).

    Keywords: adaptivity, artificial neural networks, autonomous robots, evolutionary robotics, Künstliche Intelligenz, Lernen, Mensch-Technik-Relationen (MTR), Realtechnik, social learning, Soziale Robotik, Soziales Lernen, Technik
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