Mehmet Dinçer Erbas

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This paper describes ideas and initial experiments in embodied imitation using e-puck robots, developed as part of a project whose aim is to demonstrate the emergence of artificial culture in collective robot systems. Imitated behaviours (memes) will undergo variation because of the noise and heterogeneities of the robots and their sensors. Robots can(More)
Imitation is an example of social learning in which an individual observes and copies another’s actions. This paper presents a new method for using imitation as a way of enhancing the learning speed of individual agents that employ a well-known reinforcement learning algorithm, namely Q-learning. Compared to other research that uses imitation with(More)
This paper describes research in which we model social interactions between artificial agents using real robots. We show that variations that arise from embodiment allow certain behaviours, those that are more robust to the processes of embodied imitation, to emerge and evolve during multiple cycles of imitation. We test 3 memory strategies: no memory,(More)
Imitation, in which an individual observes and copies another’s actions, is a powerful means of learning. This paper presents a way of using imitation to enhance the learning capability of individual agents. The agents employ Q-learning and we show that agents with imitation enhanced Q-learning learn faster than those with Q-learning alone.
This article describes research in which embodied imitation and behavioral adaptation are investigated in collective robotics. We model social learning in artificial agents with real robots. The robots are able to observe and learn each others' movement patterns using their on-board sensors only, so that imitation is embodied. We show that the variations(More)
This poster abstract outlines initial results from a multi-disciplinary research project called ‘the emergence of artificial culture in robot societies’ whose overall aim is to investigate the processes and mechanisms by which protocultural behaviours, better described as traditions, might emerge in a free running collective robot system. We accept, as a(More)
Imitation is a social learning method in which an individual observes and mimics another's actions. To implement imitation on robots, a number of questions should be answered, including what information should be copied during imitation, how to choose the behaviors to be copied and how to translate the observed behaviors. In this research, we aim to answer(More)
This paper describes research in which embodied imitation and behavioural adaptation are investigated in collective robotics. We model social learning in artificial agents with real robots. The robots are able to observe and learn each others’ movement patterns using their on-board sensors only; so that imitation is embodied. We show that the variations(More)
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