一种改进的三维足球仿真Agent射门技术模糊机制

2006 Annual IEEE India Conference Pub Date : 2006-09-01 DOI:10.1109/INDCON.2006.302811

M. Mozafari, A. M. Fard, V. Salmani, Mahmoud Naghibzadeh

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引用次数: 1

摘要

机器人足球仿真是一个复杂的多智能体系统，其中智能体扮演足球运动员的角色，其主要目标是为人工智能的研究和调查提供一个完美的领域。本文拟提出一种新的得分模块，根据球员的位置、接球和射门的时间差以及与目标的距离来选择球门线上的最佳射门点。为此目的实施了两种不同的方法。前者是一个简单的决策策略，后者利用了统计度量和模糊决策。结果表明，该方法的性能优于我们之前在Ferdowsi大学Nexus 3D robosucer团队上实现的工作

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Improved Fuzzy Mechanism for 3D Soccer Simulation Agent's Shoot Skill

RoboSoccer simulation is a complex multi-agent system in which agents play the role of soccer players and the main goal is to have a perfect domain for research and investigation on artificial intelligence. This paper intends to propose a new scoring module to select the best point on the goal line to shoot, considering player's position, catching and shooting time difference, and distance to target. Two different approaches have been implemented for this purpose. The first one is a simple decision making policy and the latter one takes advantage of statistical measurement and fuzzy decision making. Results show the superiority of the proposed method performance in over our previous work implemented on Nexus 3D RoboSuccer team of Ferdowsi University

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2006 Annual IEEE India Conference

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