Common Sense, the Turing Test, and the Quest for Real AI
What can artificial intelligence teach us about the mind? If AI’s underlying concept is that thinking is a computational process, then how can computation illuminate thinking? It’s a timely question. AI is all the rage, and the buzziest AI buzz surrounds adaptive machine learning: computer systems that learn intelligent behavior from massive amounts of data. This is what powers a driverless car, for example. In this book, Hector Levesque shifts the conversation to “good old fashioned artificial intelligence,” which is based not on heaps of data but on understanding commonsense intelligence. This kind of artificial intelligence is equipped to handle situations that depart from previous patterns—as we do in real life, when, for example, we encounter a washed-out bridge or when the barista informs us there’s no more soy milk.
About the Author
Hector J. Levesque is Professor Emeritus in the Department of Computer Science at the University of Toronto. He is the author of The Logic of Knowledge Bases and Thinking as Computation: A First Course (both published by the MIT Press).
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Developed as the text for the basic computer architecture course at MIT, this book integrates a thorough coverage of digital logic design with a comprehensive presentation of computer architecture. It spans the entire range of topics from analog circuit design to operating systems. The authors seek to demystify the construction of computing hardware by illustrating systematically how it is built up from digital circuits through higher-level components to processors and memories, and how its design is affected by its intended uses. “Computation Structures” is unusually broad in scope, considering many real-world problems and trade-off decisions faced by practicing engineers. These difficult choices are confronted and given careful attention throughout the book. Topics addressed include the digital abstraction; digital representations and notation; combinational devices and circuits; sequence and state; synthesis of digital systems; finite state machines; control structures and disciplines; performance measures and trade offs; communication; interpretation; micro-interpreter architecture; microprogramming and microcode; single sequence machines; stack architectures; register architectures; reduced instruction set computers; memory architectures; processes and processor multiplexing; process synchronization; interrupts, priorities, and real time; directions and trends.
This classic book on formal languages, automata theory, and computational complexity has been updated to present theoretical concepts in a concise and straightforward manner with the increase of hands-on, practical applications. This new edition comes with Gradiance, an online assessment tool developed for computer science. Please note, Gradiance is no longer available with this book, as we no longer support this product.
A Gift of Fire: Social, Legal, and Ethical Issues for Computing Technology, 4e is ideal for courses in Computer Ethics and Computers and Society. It is also a useful reference for computer science professionals or anyone interested in learning more about computing technology and its overarching impact.
Sara Baase explores the social, legal, philosophical, ethical, political, constitutional, and economic implications of computing and the controversies they raise. With a computer scientist’s perspective, and with historical context for many issues, she covers the issues students will face both as members of a technological society and as professionals in computer-related fields. A primary goal is to develop computer professionals who understand the implications of what they create and how it fits into society at large.
The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. With this new edition, Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. They walk you through the detailed steps of designing, developing, and deploying a data warehousing/business intelligence system. With substantial new and updated content, this second edition again sets the standard in data warehousing for the next decade.
About the Author
The authors’ professional careers have followed remarkably similar paths. Each author has focused on data warehousing and business intelligence (DW/BI) consulting and education for more than fifteen years. Most worked together at Metaphor Computer Systems, a pioneering decision support vendor, in the 1980s. All the authors are members of the Kimball Group and teach for KimballUniversity. They contribute regularly to Intelligent Enterprise magazine and other industry publications; most have previously written books in the Toolkit series. Ralph Kimball founded the Kimball Group. Since the mid 1980s, he has been the DW/BI industry’s thought leader on the dimensional approach and trained more than 10,000 IT professionals. Ralph has his Ph.D. in Electrical Engineering from Stanford University. Margy Ross is President of the Kimball Group. She has focused exclusively on DW/BI since 1982 with an emphasis on business requirements analysis and dimensional modeling. Margy graduated with a BS in Industrial Engineering from Northwestern University. Warren Thornthwaite began his DW/BI career in 1980. After managing Metaphor’s consulting organization, he worked for Stanford University and WebTV. Warren holds a BAin Communications Studies from the University of Michigan and anMBA from the University of Pennsylvania’sWharton School. JoyMundy has focused onDW/BIsystems since 1992 with stints at Stanford, Web TV, and Microsoft’s SQL Server product development organization. Joy graduated from Tufts University with a BA in Economics, and from Stanford University with an MS in Engineering Economic Systems. Bob Becker has helped clients across a variety of industries with their DW/BI challenges and solutions since 1989, including extensive work with health care organizations. Bob has a BSB in Marketing from the University of Minnesota’s School of Business.