图 书 馆
体内真理：走向事物的进化In Vivo Veritas: Towards the Evolution of Things |
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| 课程网址: | http://videolectures.net/ppsn2014_eiben_vivo_veritas/ |
| 主讲教师: | A. E. (Gusz) Eiben |
| 开课单位: | 阿姆斯特丹自由大学 |
| 开课时间: | 2014-10-27 |
| 课程语种: | 英语 |
| 中文简介: |  进化计算（EC）是与计算机内部数字空间中的人工进化过程相关的研究领域。大约三十年来，EC社区学习了“驯服进化的艺术”，并开发了几种进化算法变体来解决优化，设计和机器学习问题。在所有这些应用中，生殖实体都是数字的。这甚至在将进化代码移植到机器人主体的进化机器人技术中以及在进化过程终止后以物理方式构建进化设计的进化设计中也是如此。在这次演讲中，我提出了关于下一个重大突破的愿景：在物理空间中创建人工进化过程。换句话说，我设想了“事物的进化”，而不仅仅是数字对象的进化，从而带来了一个具体化人工进化的新领域。在提出这一愿景之后，我将详细阐述一些技术挑战，并将主要的算法/技术要求与EC的当前知识联系起来。最后，我将推测可能的应用程序及其对社会的影响，并认为这些进展将从根本上改变我们的生活。 |
| 课程简介: | Evolutionary Computing (EC) is the research field concerned with artificial evolutionary processes in digital spaces, inside computers. In about three decades the EC community learned the ‘art of taming evolution’ and developed several evolutionary algorithm variants to solve optimization, design, and machine learning problems. In all these applications, the reproductive entities are digital. This holds even in evolutionary robotics where the evolved code is ported to a robot body and in evolutionary design where the evolved design is constructed physically after the evolutionary process terminates. In this talk I present a vision about the next big breakthrough: the creation of artificial evolutionary processes in physical spaces. In other words, I envision the "Evolution of Things", rather than just the evolution of digital objects, leading to a new field of Embodied Artificial Evolution. After presenting this vision I elaborate on some of the technical challenges and relate the main algorithmic/technical requirements to the current know-how in EC. Finally, I will speculate about possible applications, their societal impacts, and argue that these developments will radically change our lives. |
| 关 键 词: | 进化计算; 人工进化; 机器学习 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-05-08：zyk |
| 最后编审: | 2021-05-08：zyk |
| 阅读次数: | 49 |