Multi-Agent System for Real Time Planning Using Collaborative Agents

• 作者: Ana Lilia Laureano-Cruces Javier Ramírez-Rodríguez Lourdes Sánchez-Guerrero Tzitziki Ramírez-González
• 来源期刊: 智能科学国际期刊(英文)
• 学科: 医学
• 关键词: Multi-Agent SYSTEMS BLACKBOARD Architecture PLANNING SCHEDULE COLLABORATIVE SYSTEMS Cognitive SYSTEMS
• 年，卷（期）: 2014,（4）
• 页码范围: 91-103
• 页数: 13页
• 分类号: R73

摘要

Autonomous agents are an important area of research in the sense that they are proactive, and include: goal-directed and communication capabilities. Furthermore each goals of the agent are constantly changing in a dynamic environment. Part of the challenge is to automate the process corresponding to each agent in order that they find their own objectives. Agents do not have to work individually, but can work with others and develop a coordinated group of actions. These agents are highly appreciated, when real time problems are involved, meaning that an agent must be able to react within a specific time interval, considering external events. Our work focuses on the design of a multi-agent architecture consisting of autonomous agents capable of acting through a goal-directed with: a) constraints, b) real-time, and c) with incomplete knowledge of the environment. This paper shows a model of collaborative agents architecture that share a common knowledge source, allowing knowledge of the environment;where we analyze it and its changes, choosing the most promising way for achieving the goals of the agent, in order to keep the whole system working, even if a fault occurs.