Agent-oriented paradigm to represent multiple objects for a soccer server team

• Published in: 6th International Bhurban Conference on Applied Sciences & Technology pp. 287 - 291
• Main Authors: Iqbal, Nadeem, Raza, Kamran
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-01-2009
• Subjects: Agent models; Multiple objects; Soccer server
• ISBN: 1424486505; 9781424486502
• ISSN: 2151-1403; 2151-1411

Multi-agent systems in complex, real-time domains require agents to act effectively both autonomously and as part of a team. This paper addresses multi-agent systems consisting of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. Because of the inherent complexity of this type of multi-agent system, this paper investigates the use of machine learning within multi-agent systems. This paper proposes a new agent model, which applies the agent-oriented paradigm to represent multiple objects. This agent model consists of three types of agents as follows: (a) an upper-agent which describes an autonomous and dynamic object; (b) a lower-agent which describes a reactive and static object; and (c) an environmental-agent which describes the environment of the other agents. As an example, we model soccer players (a kind of multiple objects) in environmental-agent. Three kinds of soccer agents are constructed with different powers. With soccer server we simulate the soccer games to confirm the effectiveness of our model.