RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
This study tries to apply wireless technologies to build a highly interactive environment. For this purpose, this study first identifies four types of interaction between the memb...
Abstract. Intrusion Detection Systems (IDSs) which have been deployed in computer networks to detect a wide variety of attacks are suffering how to manage of a large number of tri...
The use of technology for instruction, and the enormous amount of information available for consumption, places a considerable burden on instructors who must learn to integrate app...
This paper describes a new kind of language bias, S-structural indeterminate clauses, which takes into account the meaning of predicates that play a key role in the complexity of l...