A computational group dialogue model with organizational learning

This paper proposes a computational group dialogue model with organizational learning in which the agents adapt to the groups through communication. As dementia becomes a serious social problem, it is necessary to apply the model which has a mechanism of adaptation to the groups of dementia patients, in order that patients have the chance to adapt to the groups through communication. In the simulations, the agents communicate with other agents in the groups and learn their own dialogue strategies for adaptation to the groups, establishing their own opinions through communication