M aking A gents EMMA is a unified framework for agent learning and agent collaboration. Within this framework, we have developed a decision support system based on collaborative, autonomous, intelligent agents capable of acting upon both automatically perceived needs and direct orders from the user. EMMA has evolutionary control strategies and collaborative information exchange and broadcasting capabilities to enable sets of agents in a distributed network to cooperate effectively.
Individual agents learn from previous cases, users, and other agents.
They may consult dynamic knowledge bases in the particular application domain and apply reasoning techniques. Phase I of this project investigated the feasibility of the EMMA framework, and produced a prototype based on the first two layers. Phase II completed EMMA's three layer system architecture, and created a working agent-based decision support system for selected application domains. All rights reserved.