机器人的社会整合到群体中,以控制自我组织的选择
1Université Libre de Bruxelles, Service d'Ecologie Sociale CP231, Avenue F. D. Roosevelt, 50, B-1050 Brussels, Belgium. jhalloy@ulb.ac.be
概括
工程师正在使用机器人研究动物的集体行为. 机器人和的混合群体表明,机器人可以影响群体选择庇护所的决策,展示新的控制可能性.
科学领域:
- 机器人和集体行为
- 动物社会动力学动物社会动力学
- 生物启发工程 生物启发工程
背景情况:
- 自组织是许多动物物种集体行为的关键特征.
- 工程师正在探索用于协调多机器人系统的自我组织原则.
- 了解个人如何互动形成群体决策至关重要.
研究的目的:
- 研究和自主机器人的混合群体中的集体决策.
- 为了证明人工智能如何影响和控制自我组织的动物行为.
- 探索智能设备在研究和调节群体动态方面的潜力.
主要方法:
- 实验设置涉及小组的和社会集成的自主机器人.
- 观察集体决策,特别是共同选择避难所.
- 基于个人之间的局部相互作用的非线性反机制的分析.
- 评估机器人调节集体行为的能力,即使在少数.
主要成果:
- 和机器人的混合群体成功实现了共享庇护所的选择.
- 自主机器人,即使是少数,也显著调节了集体决策过程.
- 全球行为模式出现了,在没有机器人的情况下没有观察到.
- 个人 (自然或人造) 被视为同等,决策源于局部相互作用.
结论:
- 智能自主设备可以有效地用于研究群体生活动物的自我组织行为模式.
- 机器人可以整合到动物群体中,以影响和控制集体决策.
- 这项研究为使用人工代理来理解和操纵生物系统中的社会动态开辟了道路.
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