Since cognition could be treated as problem-solving issues based on dynamical knowledge transferring and propagation, the meta-learning and group learning are put forward in confor...
In this paper, we describe an adaptive approach to gesture for musical applications. Neural Network abstractions and interfaces are implemented in the Pure Data environment which ...
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
This paper presents the development of a user-oriented framework to support the user reconfiguration of ubiquitous domestic environments. We present a lightweight component model t...
Jan Humble, Andy Crabtree, Terry Hemmings, Karl-Pe...
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...