Theory of Modeling and Simulation
Theory of Modeling and Simulation
CD++: a toolkit to develop DEVS models
Software—Practice & Experience
Robot Learning From Demonstration
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Learning for control from multiple demonstrations
Proceedings of the 25th international conference on Machine learning
ECD++ a DEVS based real-time simulator for embedded systems
Proceedings of the 2008 Spring simulation multiconference
Case-Based Planning and Execution for Real-Time Strategy Games
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
An Active Approach to Automatic Case Generation
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Case-based plan recognition in computer games
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
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Modelling and simulation of robotic control systems allows for low cost analysis and experimentation. However, creating these models requires a level of technical expertise. To improve the technical quality of such models, we propose a case-based reasoning approach to learn the behaviour of models using the DEVS formalism. By observing a desired behaviour, in the form of outputs produced in response to inputs, a DEVS model of the behaviour can be built. This model can then be used during simulation to imitate the behaviour of interest. Our results show that this learning approach can be used to successfully imitate the behaviour of several DEVS models. Additionally, it can be used to transfer behaviour to and from a non-DEVS model.