Abstract: Democratic societies throughout the world, it appears, are facing a new type of threat dubbed "asymmetric threat." In this new threat environment the world gove...
This paper describes our experiences in promoting a learning environment where active student involvement and interaction, as well as openness to diversity of ideas are supported ...
The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model...
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
Animated pedagogical agents oer great promise for knowledge-based learning environments. In addition to coupling feedback capabilities with a strong visual presence, these agents...