This paper describes a novel method by which a dialogue agent can learn to choose an optimal dialogue strategy. While it is widely agreed that dialogue strategies should be formul...
Marilyn A. Walker, Jeanne Frommer, Shrikanth Naray...
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
This study examined a collaborative tool intervention within a geographically-distributed, engineering-design team in a large manufacturing company. Baseline data collection to de...
Elizabeth E. Wierba, Thomas A. Finholt, Michelle P...
Abstract. Robot soccer is a challenging research domain, which involves multiple agents (physical robots or ”softbots”) to work together in a dynamic, noisy, cooperative and ad...
Hui Wang, Han Wang, Chunmiao Wang, William Y. C. S...
A number of strategies have been proposed for state-based class testing. An important proposal was made by Chow [5] and adapted by Binder [3]: It consists in deriving test sequenc...
Giuliano Antoniol, Lionel C. Briand, Massimiliano ...