This paper integrates research in robot programming and reasoning about action with research in model-based reasoning about physical systems to provide a capability for modeling an...
To simulate adaptive agents with abilities matching those of their real-world counterparts, a natural approach is to incorporate adaptation mechanisms such as classical conditioni...
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
In this paper the internal dynamics of mental states, in particular states based on beliefs, desires and intentions, is formalised using a temporal language. A software environment...
Catholijn M. Jonker, Jan Treur, Wouter C. A. Wijng...
Proactive information sharing is a challenging issue faced by intelligence agencies in effectively making critical decisions under time pressure in areas related to homeland secur...
John Yen, Xiaocong Fan, Shuang Sun, Timothy Hanrat...