In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named Island where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables. By then, the market that Levine had sought to fix had turned upside down, birthing secretive exchanges called dark pools and a new species of trading machines that could think, and that seemed, ominously, to be slipping the control of their human masters. Dark Pools is the fascinating story of how global markets have been hijacked by trading robots--many so self-directed that humans can't predict what they'll do next.

    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.Levesque considers the role of language in learning. He argues that a computer program that passes the famous Turing Test could be a mindless zombie, and he proposes another way to test for intelligence -- the Winograd Schema Test, developed by Levesque and his colleagues. -If our goal is to understand intelligent behavior, we had better understand the difference between making it and faking it, - he observes. He identifies a possible mechanism behind common sense and the capacity to call on background knowledge: the ability to represent objects of thought symbolically. As AI migrates more and more into everyday life, we should worry if systems without common sense are making decisions where common sense is needed.

    It sounds like science fiction, but it's science fact. Surgeons now rehearse operations on computer-generated "virtual" patients, and architects "walk through" virtual buildings while the actual structures are still in blueprints. In Virtual Reality, Howard Rheingold takes us to the front lines of this revolutionary new technology that creates computer-generated worlds complete with the sensations of touch and motion, and explores its impact on everything from entertainment to particle physics.

    Named one of the "Young Guns" and one of the "five hot minds in economics" by the Yale Economic Review, he serves on the National Economic Council in Prague, where his provocative writing has achieved bestseller status. How has he done it? By arguing a simple, almost heretical proposition: economics is ultimately about good and evil. In The Economics of Good and Evil, Sedlacek radically rethinks his field, challenging our assumptions about the world. Economics is touted as a science, a value-free mathematical inquiry, he writes, but it's actually a cultural phenomenon, a product of our civilization. It began within philosophy--Adam Smith himself not only wrote The Wealth of Nations, but also The Theory of Moral Sentiments--and economics, as Sedlacek shows, is woven out of history, myth, religion, and ethics. "Even the most sophisticated mathematical model," Sedlacek writes, "is, de facto, a story, a parable, our effort to (rationally) grasp the world around us." Economics not only describes the world, but establishes normative standards, identifying ideal conditions. Science, he claims, is a system of beliefs to which we are committed. To grasp the beliefs underlying economics, he breaks out of the field's confines with a tour de force exploration of economic thinking, broadly defined, over the millennia. He ranges from the epic of Gilgamesh and the Old Testament to the emergence of Christianity, from Descartes and Adam Smith to the consumerism in Fight Club. Throughout, he asks searching meta-economic questions: What is the meaning and the point of economics? Can we do ethically all that we can do technically? Does it pay to be good? Placing the wisdom of philosophers and poets over strict mathematical models of human behavior, Sedlacek's groundbreaking work promises to change the way we calculate economic value.

    Divided into two parts, the first part of the book introduces the programming language Prolog, while the second part teaches Artificial Intelligence using Prolog as a tool for the implementation of AI techniques. Prolog has its roots in logic, however the main aim of this book is to teach Prolog as a practical programming tool. This text therefore concentrates on the art of using the basic mechanisms of Prolog to solve interesting problems. The third edition has been fully revised and extended to provide an even greater range of applications, which further enhance its value as a self-contained guide to Prolog, AI or AI Programming for students and professional programmers alike.

    These techniques deal with real programs and they are realistically illustrated, using the C and Awk languages. Bentley also provides the reader with some tricks of the programmer's trade, like a collection of rules of thumb and hints for finding simple solutions to hard problems.These essays also originally appeared in the author's column in Communication of the ACM, and have been substantially revised, incorporating new sections, problems, and reader comments.

    As the words "at work" suggest, Peter Seibel focuses on how his interviewees tackle the day–to–day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: http://www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 16 folks who’ve been kind enough to agree to be interviewed:- Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow- Joe Armstrong: Inventor of Erlang- Joshua Bloch: Author of the Java collections framework, now at Google- Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger- Douglas Crockford: JSON founder, JavaScript architect at Yahoo!- L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1- Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation - Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal - Dan Ingalls: Smalltalk implementor and designer- Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler- Donald Knuth: Author of The Art of Computer Programming and creator of TeX- Peter Norvig: Director of Research at Google and author of the standard text on AI- Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress- Ken Thompson: Inventor of UNIX- Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hackerWhat you’ll learn:How the best programmers in the world do their jobWho is this book for?Programmers interested in the point of view of leaders in the field. Programmers looking for approaches that work for some of these outstanding programmers.

     A young physics student starts a revolutionary new marketplace immune to State coercion; he ends up ordering hits on people because they might threaten his great experiment, and is jailed for life without parole. Fully automated contractual systems are proposed to make business and the law work better; the contracts people actually write are unregulated penny stock offerings whose fine print literally states that you are buying nothing of any value. The biggest crowdfunding in history attracts $150 million on the promise that it will embody “the steadfast iron will of unstoppable code”; upon release it is immediately hacked, and $50 million is stolen. How did we get here? David Gerard covers the origins and history of Bitcoin to the present day, the other cryptocurrencies it spawned including Ethereum, the ICO craze and the 2017 crypto bubble, and the attempts to apply blockchains and smart contracts to business. Plus a case study on blockchains in the music industry. Bitcoin and blockchains are not a technology story, but a psychology story. Remember: if it sounds too good to be true, it almost certainly is.