This paper investigates the problem of improving the performance of general state-of-the-art robot control systems by autonomously adapting them to specific tasks and environments...
Collaborative learning supported through computers seems to be very promising, since advances in computational technology enable the widespread use of tools such as bulletin board...
In this paper, a model is proposed for multi-agent probabilistic reasoning in a distributed environment. Unlike other methods, this model is capable of processing input in a truly...
An online software agent that helps smokers quit was designed and tested. We created a library of categorized smoking cessation messages using meta-data corresponding to the Stage...
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...