| 1. |
- Balkenius, Anna, et al.
(författare)
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The Approach Behaviour of the Hawkmoth Manduca sexta toward Multi-modal Stimuli: A Simulation Model
- 2010
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Ingår i: From Animals to Animats 11 : 11th International Conference on Simulation of Adaptive Behavior, SAB 2010, Paris - Clos Lucé, France, August 25-28, 2010. Proceedings - 11th International Conference on Simulation of Adaptive Behavior, SAB 2010, Paris - Clos Lucé, France, August 25-28, 2010. Proceedings. - 9783642151927 - 9783642151934 ; 6226, s. 232-241
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Konferensbidrag (refereegranskat)
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| 2. |
- Thill, Serge, et al.
(författare)
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Learning New Motion Primitives in the Mirror Neuron System : A Self-organising Computational Model
- 2010
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Ingår i: From Animals to Animats 11. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642151927 - 9783642151934 ; , s. 413-423
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Konferensbidrag (refereegranskat)abstract
- Computational models of the mirror (neuron) system are attractive in robotics as they may inspire novel approaches to implemente.g. action understanding. Here, we present a simple self-organising map which forms the first part of larger ongoing work in building such amodel. We show that minor modifications to the standard implementation of such a map allows it to continuously learn new motor concepts.We find that this learning is facilitated by an initial motor babbling phase, which is in line with an embodied view of cognition. Interestingly,we also find that the map is capable of reproducing neurophysiologicaldata on goal-encoding mirror neurons. Overall, our model thus fulfils the crucial requirement of being able to learn new information throughout its lifetime. Further, although conceptually simple, its behaviour has interesting parallels to both cognitive and neuroscientific evidence.
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| 3. |
- Johansson, Birger, et al.
(författare)
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The Indiana Experiment: Investigating the Role of Anticipation and Attention in a Dynamic Environment
- 2010
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Ingår i: SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 9783642151927 ; 6226/2010, s. 242-251
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Konferensbidrag (refereegranskat)abstract
- We investigating the role of anticipation and attention in a dynamic environment in a number of large scale simulations of an agent that tries to negotiate a number of gates that continuously open and close. In particular we have looked at learning mechanisms that can predict the future positions of the gates and control strategies that will allow the agent to pass through the gates unharmed. The simulations reported below use the AARC architecture [1]. This architecture combines a large number of different cognitive mechanisms. In Experiment 1, the task for the agent is to pass through a single gate and in Experiment 2, to pass through three successive gates. The results shows that the AARC architecture is flexible enough to handle very diverse situations. It is also somewhat surprising that linear predictors are sufficient in most cases.
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