Abstract. Rule Responder is an intelligent multi-agent system for collaborative teams and virtual communities that uses RuleML as its rule interchange format. The system allows the...
The increasing use of multi-agent systems brings challenges that have not been studied yet, such as how should we adapt requirements elicitation to cope with agent properties like...
Mining stock data can be beneficial to the participants and researchers in the stock market. However, it is very difficult for a normal trader or researcher to apply data mining...
CAFE (Collaborative Agents for Filtering E-mails) is a multi-agent system to collaboratively filter spam from users’ mail stream. CAFE associates a proxy agent with each user, a...
This paper presents an innovative multi-agent system development approach called mission-based on-demand agent generation. This approach allows agents to be dynamically composed at...
Glenn T. Jayaputera, Arkady B. Zaslavsky, Seng Wai...