In this paper, we discuss the development of a multi agent system working on the Semantic Web environment by using a new framework called SEAGENT. SEAGENT is a new agent developmen...
Oguz Dikenelli, Riza Cenk Erdur, Geylani Kardas, &...
This paper examines agent-based systems designed for a variety of human learning tasks. These are typically split into two areas: "training", which generally refers to a...
Although animated pedagogical agents are frequently found in intelligent tutoring systems and interactive learning environments, their effect on users' attitudes and learning ...
Judy Robertson, Beth Cross, Hamish Macleod, Peter ...
Answer sharing is a key element in multi-agent systems as it allows agents to collaborate towards achieving a global goal. However exogenous knowledge of the world can influence e...
Jiefei Ma, Krysia Broda, Randy Goebel, Hiroshi Hos...
In this paper, a new agent development platform, which includes built-in features for semantic web based multi agent system development, is introduced. All agents and services in ...