AFRL - IF - RS - TR - 2004 - 25 Final Technical Report February 2004 MAPLE : MULTI - AGENT PLANNING , LEARNING , AND EXECUTION

Title and Subtitle Maple : Multi - Agent Planning , Learning , and Execution

Facilitating Web-based Education using Intelligent Agent Technologies

Software agents will soon proliferate human organizations, education and society, helping users with information gathering, activity scheduling, email management, and individual and collaborative learning. This paper presents an intelligent Webbased educational system using multi-agent system technology and Web services technology. In this multiagent architecture, each user is assigned with a p...

Collaboration among large scale mobile sensing agents

Agent collaboration for performing tasks in very large-scale multi-agent environments is an important and difficult problem. The problem becomes even more challenging if local noisy information collected by several agents must first be combined as a prerequisite for task execution. A further complication arises if tasks must be performed in real-time. In this paper we focus on environments that...

Time Management Adaptability in Multi-Agent Systems

So far, the main focus of research on adaptability in multi-agent systems (MASs) has been on the agents’ behavior, for example on developing new learning techniques and more flexible action selection mechanisms. However, we introduce a different type of adaptability in MASs, called time management adaptability. Time management adaptability focuses on adaptability in MASs with respect to executi...

Study of SOA Component Dynamic Scheduling Based on Mobile Agent Coalitio

Service-oriented components differ greatly with the traditional ones in the Service-Oriented Architecture. The ways of scheduling components seamlessly according to the agile computing needs to fit the e-business requirements is the key technology in the highly distributed, paralleled environment. In this paper, Based on the Multi-Agent Coalition, a new service-oriented component dynamic schedu...