Artificial intelligence, or AI, is largely an experimental science—at least as much progress has been made by building and analyzing programs as by examining theoretical questions. MYCIN is one of several well-known programs that embody some intelligence and provide data on the extent to which intelligent behavior can be programmed. As with other AI programs, its development was slow and not always in a forward direction. But we feel we learned some useful lessons in the course of nearly a decade of work on MYCIN and related programs. In this book we share the results of many experiments performed in that time, and we try to paint a coherent picture of the work. The book is intended to be a critical analysis of several pieces of related research, performed by a large number of scientists. We believe that the whole field of AI will benefit from such attempts to take a detailed retrospective look at experiments, for in this way the scientific foundations of the field will gradually be defined. It is for all these reasons that we have prepared this analysis of the MYCIN experiments.

JANICE S. AIKINS Dr. Aikins received her Ph.D. in computer science from Stanford University in 1980. She is currently a research computer scientist at IBM's Palo Alto Scientific Center. She specializes in designing systems with an emphasis on the explicit representation of control knowledge in expert systems. ROBERT L. BLUM Dr. Blum received his M.D. from the University of California Medical School at San Francisco in 1973. From 1973 to 1976 he did an internship and residency in the Department of Internal Medicine at the Kaiser Foundation Hospital in Oakland, California, where he was chief resident in 1976.

Edward H. Shortliffe Chapter 6 Details of the Revised Therapy Algorithm

Presentation made by Andreas Schleicher, Director for the OECD Directorate of Education and Skills, at the Education World Forum, 21st January 2019, London Did you ever wonder whether education has a role to play in preparing our societies for an age of artificial intelligence? Or what the impact of climate change might be on our schools, families and communities? While the trends are robust, the questions raised in this book are suggestive, and aim to inform strategic thinking and stimulate reflection on the challenges facing education – and on how and whether education can influence these trends. This book covers a rich array of topics related to globalisation, democracy, security, ageing and modern cultures. The content for this 2019 edition has been updated and also expanded with a wide range of new indicators.

Discover the power of Java for developing applications today when you trust the engaging, hands-on approach in Farrell's JAVA PROGRAMMING, 9E. Even if you're a first-time programmer, JAVA PROGRAMMING can show you how to quickly start developing useful programs, all while still mastering the basic principles of structured and object-oriented programming. Unique, reader-friendly explanations and meaningful programming exercises emphasize business applications and game creation while useful debugging exercises and contemporary case problems further expand your understanding. Additional digital learning resources within MindTap provide interactive learning tools as well as coding IDE (Integrated Development Environment) labs for practicing and expanding your skills.

SEMANTiCS conference is the leading European conference on Semantic Technologies and AI. Researchers, industry experts and business leaders can develop a thorough understanding of trends and application scenarios in the fields of Machine Learning, Data Science, Linked Data and Natural Language Processing. The 15th edition will be hosted this year in Karlsruhe (Germany).

Improvements and convergences in machine learning and neurosciences combined with the availability of massive datasets and the ubiquity of high-performance scalable computing are propelling us into a new age of Artifi cial Intelligence (AI). In this second part, we perform a deep dive into some of the most interesting cases of the deployment of artifi cial intelligence systems in cities. AI can be essentially analyzed as a "prediction technology," the diff usion of which can drastically bring down the cost of processing historical data and therefore of making prediction for a wide array of crucial tasks such as risk profi ling, inventory management, and demand forecasting. Is this time different?" is the question that expert worryingly argue over when they analyze the socio-economic impact of the AI revolution as compared with the previous industrial revolutions of the 19th and 20th centuries.

Author: James Barrat Published Year: 2013 Recommendation: 3.7/5.0 Published Year: 2017 Recommendation: 4.1/5.0 Author: Peter Norvig, Stuart J. Russell Published Year: 2009 (3rd Edition) Recommendation: 4.2/5.0 Author: Raymond Kurzweil Published Year: 2005 Recommendation: 3.9/5.0 Published Year: 2018 Recommendation: 4.0/5.0

The 1st International Workshop on Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI) was held in 2018 in conjunction with the 13th International Conference on Human-Robot Interaction, and brought together researchers from the fields of Human-Robot Interaction (HRI), Robotics, Artificial Intelligence, and Virtual, Augmented, and Mixed Reality in order to identify challenges in mixed reality interactions between humans and robots. This inaugural workshop featured a keynote talk from Blair MacIntyre (Mozilla, Georgia Tech), a panel discussion, and twenty-nine papers presented as lightning talks and/or posters. In this report, we briefly survey the papers presented at the workshop and outline some potential directions for the community.

The Workshop Program of the Association for the Advancement of Artificial Intelligence’s 12th International Conference on Web and Social Media (AAAI-18) was held at Stanford University, Stanford, California USA, on Monday, June 25, 2018. There were fourteen workshops in the program: Algorithmic Personalization and News: Risks and Opportunities; Beyond Online Data: Tackling Challenging Social Science Questions; Bridging the Gaps: Social Media, Use and Well-Being; Chatbot; Data-Driven Personas and Human-Driven Analytics: Automating Customer Insights in the Era of Social Media;  Designed Data for Bridging the Lab and the Field: Tools, Methods, and Challenges in Social Media Experiments; Emoji Understanding and Applications in Social Media; Event Analytics Using Social Media Data; Exploring Ethical Trade-Offs in Social Media Research; Making Sense of Online Data for Population Research; News and Public Opinion; Social Media and Health: A Focus on Methods for Linking Online and Offline Data; Social Web for Environmental and Ecological Monitoring and The ICWSM Science Slam. Workshops were held on the first day of the conference. Workshop participants met and discussed issues with a selected focus — providing an informal setting for active exchange among researchers, developers, and users on topics of current interest. Organizers from nine of the  workshops submitted reports, which are reproduced in this report. Brief summaries of the other five workshops have been reproduced from their website descriptions.