In this paper a new learning scheme for SAT is proposed. The originality of our approach arises from its ability to achieve clause learning even if no conflict occurs. This clear...
In a component-based system components are basic computation units implementing specific business functions, and their interactions are explicitly represented by connectors. If th...
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
a This paper presents a novel Adaptive Dynamic Gridbased Data Distribution Management (DDM) scheme, which we refer to as ADGB. The main objective of our protocol is to optimize DDM...
Azzedine Boukerche, YunFeng Gu, Regina Borges de A...
This paper discusses the extensions that we have made to Betty’s Brain teachable agent system to help students learn about dynamic processes in a river ecosystem. Students first ...