The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Abstract This paper attempts to define an emotional model for virtual agents that behave autonomously in social worlds. We adopt shallow modeling based on the decomposition of the...
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...
This paper presents a finding and a technique on program behavior prediction. The finding is that surprisingly strong statistical correlations exist among the behaviors of diffe...
Yunlian Jiang, Eddy Z. Zhang, Kai Tian, Feng Mao, ...
Animated pedagogical agents oer great promise for knowledge-based learning environments. In addition to coupling feedback capabilities with a strong visual presence, these agents...