An enthralling look at how computer scientists have crossed the line between machines and living organisms Despite being marvels of complexity and human ingenuity, computers are notoriously bad at learning new things and dealing with new situations. Researchers at the frontiers of computer science have turned to nature for solutions to the problem of machine adaptation and learning. By applying models of complex biological systems to the realm of computing machines, they have given rise to a new breed of adaptive software and hardware. In Machine Nature, computer scientist Moshe Sipper takes readers on a thrilling journey to the terra nova of computing, to provide a compelling look at cutting-edge computers, robots, and machines now and in the decades ahead, including: "Embryonic" chips that self-heal and artificial immune systems that function like their biological counterparts to fight off computer viruses DNA computinga technique for building computers out of DNA instead of silicon The deeper questions arising from the arrival of machines that are adaptive, autonomous, lifelike, and perhapsone dayliving
[Buchheit et al, 1994] Martin Buchheit, Francesco M. Donini, Werner Nutt, and Andrea Schaerf. Terminological systems revisited: Terminology = schema + views. In Proceedings of ike Twelfth National Conference on Artificial Intelligence ...
本书分7章对物联网技术及其应用进行了相对完整的分析和介绍.分析了物联网的概念,特点和体系结构,介绍了物联网在各个层次上的关键技术及其应用空间 ...
Transitions at DARPA Robert Taylor signed on at DARPA in 1964 as deputy director of IPTO . then succeeded Ivan Sutherland as director in 1965. Like Licklider and Sutherland before him , his interest in interactive computer systems ...
Therefore , the only way to get natural TL sentences is to have a little slack in either the parsing or the generation process . Specifically , interlingua - inspired systems seem to parse into impoverished representations , discarding ...
Introduction; Fuzzy logic and engineering; Fuzzy function approximation; Additive fuzzy systems; Ellipsoidal fuzzy systems; Fuzzy control and chaos; Fuzzy control for platoons of smart cars; Fuzzy chaos and recursive partitioning;...
本书全面、客观地综述在云计算、大数据环境下知识工程领域面临的新的科学问题及技术挑战,展示国内外在知识工程领域所取得的最新进展,特别是对国内学者系统性、开创性的工作予以足够的重视并详细论述。本书针对大数据知识获取、表示、发现、开发与服务问题,围绕七大主题对国内外进展进行综述,包括大数据知识工程引论、知识表示、知识发现、知识管理与搜索、知识的智能建模、知识迁移和转换、知识工程交叉领域,这是在中国人工智能学会领导下,由知识工程与分布专委会组织编写的有关知识工程的具有重要学术价值和技术前瞻性的技术发展报告,适合人工智能及相关专业本科生、研究生、高级专业技术人员、政府科技管理人员阅读。
Relational databases have quickly come to be regarded as a natural and efficient way of organizing information. Duplicate data can be eliminated and powerful set-theoretic operations can be used to...
The emerging widespread use of artificial intelligence in education. Multimedia, simulation, computer-mediated communication networks, and distance learning have all become part of the educational toolkit. The next major technology to...
Logic programming has developed into a broad discipline within computing science, contributing to such fields as artificial intelligence, new-generation computing, software engineering and deductive databases. This new book presents the...
Speech Communication: Human and Machine