We present Propagation Networks (P-Nets), a novel approach for representing and recognizing sequential activities that include parallel streams of action. We represent each activi...
Yifan Shi, Yan Huang, David Minnen, Aaron F. Bobic...
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
We present a logic for representing and reasoning with qualitative statements of preference and normality and describe how these may interact in decision making under uncertainty....
Temporal logics are well suited for the specification and verification of systems of communicating agents. In this paper we adopt a social approach to agent communication, where c...
ABSTRACT. Action-probabilistic logic programs (ap-programs) are a class of probabilistic logic programs that have been extensively used during the last few years for modeling behav...