Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Abstract. In this paper, we describe an Intelligent Multiagent Infrastructure for Distributed Systems in Education (or I-MINDS) framework that applies an agent-oriented information...
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
In the context of distributed multimedia applications involving multicast to a large number of users, a single quality of service level may not be appropriate for all participants....
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...