The Art of Computer Programming
by Donald Ervin Knuth · 15 Jan 2001
-404] that pseudorandom sequences can be constructed from any one-way function — but such results are not surveyed here because they apply primarily to abstract complexity theory rather than to practical random number generation. The practical implications of theoretical work on pseudorandomness were first investigated empirically by P. L'Ecuyer and R
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A. Borodin and I. Munro (New York: American Elsevier, 1975); Polynomial and Matrix Computations 1 by D. Bini and V. Pan (Boston: Birkhauser, 1994); Algebraic Complexity Theory by P. Biirgisser, M. Clausen, and M. Amin Shokrollahi (Heidelberg: Springer, 1997). EXERCISES . 1. [15] What is a good way to evaluate an "odd" polynomial
In Our Own Image: Savior or Destroyer? The History and Future of Artificial Intelligence
by George Zarkadakis · 7 Mar 2016 · 405pp · 117,219 words
the nature of these interactions? And how can we test whether they exist or not? For many scientists, emergentist theories that spring from cybernetics and complexity theory do not seem falsifiable, and are therefore suspiciously non-scientific. Suspicion about theories of emergence reflects the ideological divide between traditional scientific methods of reductionism
Artificial Intelligence: A Modern Approach
by Stuart Russell and Peter Norvig · 14 Jul 2019 · 2,466pp · 668,761 words
a Bayes net, such that running inference on this net tells us whether or not the original propositional sentences are satisfiable. (In the language of complexity theory, we reduce satisfiability problems to Bayes net inference problems.) This turns out to be quite straightforward. Figure 13.14 shows how to encode a particular
Scale: The Universal Laws of Growth, Innovation, Sustainability, and the Pace of Life in Organisms, Cities, Economies, and Companies
by Geoffrey West · 15 May 2017 · 578pp · 168,350 words
or deciding on the placement of new malls or stadiums. The leading advocate for developing the concept of the fractal city and integrating ideas from complexity theory into traditional urban analysis and planning has been Mike Batty, who runs the Centre for Advanced Spatial Analysis (CASA) at University College London. His work
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of small-world networks satisfy power law scaling. Steve Strogatz is an eclectic applied mathematician at Cornell University who uses ideas from nonlinear dynamics and complexity theory to analyze and explain a broad range of fascinating problems. For example, he has done some lovely work showing how crickets, cicadas, and fireflies synchronize
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science writer John Whitfield, who in 2007 wrote: The institute was intended to be truly multidisciplinary—it has no departments, only researchers. . . . Santa Fe and complexity theory have become almost synonymous . . . the institute, now situated on a hill on the town’s outskirts, must be one of the most fun places to
The Blockchain Alternative: Rethinking Macroeconomic Policy and Economic Theory
by Kariappa Bheemaiah · 26 Feb 2017 · 492pp · 118,882 words
an economy are reflective of the study of complex systems, an academic discipline that observes the deep laws of complexity and emergence in any system. Complexity theory was born in the 1970’s (Wilson, 1998) and was originally inspired by 19th century physics, specifically the fields of classical mechanics, statistical non-equilibrium
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physics and thermodynamics (Helbing and Kirman, 2014). The main tenets of complexity theory borrow their conceptions from chaos theory, self-criticality and adaptive landscapes, to bring into focus the way complex systems grow, persist and collapse. The first
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scholars of complexity theory began their formulations at the Santa Fe institute, and based their study of complex systems on abstract non-linear transformative computer simulations. They attempted to
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. It was, and will be, one of the most important scientific discoveries of the century. 11Some of the early trailblazers who combined the study of complexity theory with economics include, Kenneth Arrow (economist), Philip Anderson (physicist), Larry Summers (economist), John Holland (physicist), Tom Sargent (economist), Stuart Kauffman (physicist), David Pines (physicist), José
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-1e7744c66818 Smaghi, L. B. (2010). The paradigm shift after the financial crisis. Nomura Seminar. Kyoto: European Central Bank. Stefano Battiston, J. D. (2016, February 19). Complexity theory and financial regulation - Economic policy needs interdisciplinary network analysis and behavioral modeling. Science , pp. 818-819. Sweney, M. (2008, November 28 ). FT rolls out “St
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). Whom or What Does the Representative Individual Represent? Journal of Economic Perspectives - Volume 6, Number 2, 117-136. Kirman, D. H. (2014). Rethinking Economics Using Complexity Theory . Iowa State University. Kirman, M. G. (2013). Reconstructing economics: Agent based models and complexity . Baltzer Science Publishers, DOI : 10.7564/12-COEC2 . Lawrence J. Christiano
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Learned and to What End? LeBaron, B. (2002). Building the Santa Fe Artificial Stock Market . Brandeis University. Levy, D. L. (2000). Applications and Limitations of Complexity Theory in Organization Theory and Strategy. In G. J. Jack Rabin, Handbook of Strategic Management (pp. 67-87). Routledge. Levy, M. (2012). Agent Based Computational Economics
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. In R. A. Meyers, Computational Complexity: Theory, Techniques, and Applications (pp. 18-39). Springer. Manson, S. M. (2001). Simplifying complexity: a review of complexity theory. Geoforum, Volume 32, Issue 3, 405-414. Morçöl, G. (2008). A Complexity Theory for Policy Analysis. In K. A. Richardson and Linda F. Dennard (Editors
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: 10.2478/revecp-2014-0008 , pp. 145-164,. Stefania Bandini, S. M. (2012). Chapter 7 : Agent Based Modeling and Simulation. In R. A. Meyers, Computational Complexity: Theory, Techniques, and Applications (pp. 105 - 121). Springer. Stuart Russell, P. N. (2009). Artificial Intelligence: A Modern Approach . Pearson. Syll, L. P. (2016, April 7). Deductivism
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) Dodd-Frank Act Dynamic Stochastic General Equilibrium (DSGE) model E EBM SeeEquation based modelling (EBM) Economic entropy vs. economic equilibrium assemblages and adaptations complexity economics complexity theory DSGE based models EMH human uncertainty principle’ LHC machine-like system operating neuroscience findings reflexivity RET risk assessment scientific method technology and economy Economic flexibility
The Singularity Is Near: When Humans Transcend Biology
by Ray Kurzweil · 14 Jul 2005 · 761pp · 231,902 words
surprised by the idea that simple mechanisms can produce results more complicated than their starting conditions. We've seen this phenomenon in fractals, chaos and complexity theory, and self-organizing systems (such as neural nets and Markov models), which start with simple networks but organize themselves to produce apparently intelligent behavior. At
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can rapidly understand and apply this information by building models and working simulations. These simulations of brain regions are based on the mathematical principles of complexity theory and chaotic computing and are already providing results that closely match experiments performed on actual human and animal brains. As noted in chapter 2, the
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and those that comprise stochastic "noise" or chaos. The chaotic (random and unpredictable) aspects of neural function can be modeled using the mathematical techniques of complexity theory and chaos theory.16 ·The brain uses emergent properties. Intelligent behavior is an emergent property of the brain's chaotic and complex activity. Consider the
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only in the exact location on the table where it was asked to solve the problem. Genetic algorithms, part of the field of chaos or complexity theory, are increasingly being used to solve otherwise intractable business problems, such as optimizing complex supply chains. This approach is beginning to supplant more analytic methods
Masterminds of Programming: Conversations With the Creators of Major Programming Languages
by Federico Biancuzzi and Shane Warden · 21 Mar 2009 · 496pp · 174,084 words
the laws of physics and engineering principles of a particular discipline. In computing that would mean computer science principles such as algorithms, data structures, and complexity theory, as well as the principles of software engineering. In any field, it is important to develop a feel for how things are done. If software
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of emergent systems. That’s what science is all about and language is all about. That’s one of the concepts from the concept of complexity theory. You get the sense of emergence, and there’s no one fundamental layer. Certainly people have understood that in computing for a long time. You
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have gotten so much faster, that doesn’t matter. They’re still obsessed with what I’ll call the micro-optimizations. They don’t know complexity theory, they don’t understand the “order-of” stuff, but they’re worried about little, itty-bitty speed improvements. I wrote a subroutine package and then
Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the Agi Workshop 2006
by Ben Goertzel and Pei Wang · 1 Jan 2007 · 303pp · 67,891 words
us with some puzzles. A first important one is: what about this particular code causes it to understand? A second important one is: given that complexity theory has indicated that many computations are inherently time consuming, how does the mind work so amazingly fast? Computational learning theory has explained generalization as arising
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learning so innately programmed appears quite automatic, reliably resulting in creatures with similar abilities provided that they are allowed interaction with the world during development. Complexity theory suggests that learning is a hard problem, requiring vast computation to extract structure. Yet we learn so fast that we do not have time to
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to extract specific kinds of meaning. The bulk of the requisite computation, and thus the guts of the process from the point of view of complexity theory, went into the evolution of the genome. Empirical evidence shows that creatures are in fact programmed with specific inductive biases. If a rat is shocked
Strategy: A History
by Lawrence Freedman · 31 Oct 2013 · 1,073pp · 314,528 words
these he drew language and insights to describe the sort of conflicts that interested him. From Norbert Wiener’s cybernetics to Murray Gell-Mann’s complexity theory emerged some core themes about the interaction of parts within systems, adaptation to changing environments, and outcomes that seemed indeterminate but were not beyond explanation
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for matters that were already well understood. Many of the emerging themes were present, for example, in Schelling’s writings. The most important contribution of complexity theory was to underline the importance of considering individual actors as part of complex systems, so that they must always be assessed in relation to their
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Brazil Set Off a Tornado in Texas?” For a history of chaos theory, see James Gleick, Chaos: Making a New Science (London: Cardinal, 1987). On complexity theory, see Murray Gell-Man, The Quark and the Jaguar: Adventures in the Simple and the Complex (London: Little, Brown & Co., 1994); Mitchell Waldrop, Complexity: The
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League, 254, 262 Communist Manifesto, The (Marx and Engels), 254, 256–257, 260–261, 270, 329 compellence theory, 163, 190–191 Competitive Advantage (Porter), 522 complexity theory, 197–198 Concept of the Corporation, The (Drucker), 493–495 Condition of the Working Class in England, The (Engels), 252 Confederación Nacional del Trabajo (CNT
From Counterculture to Cyberculture: Stewart Brand, the Whole Earth Network, and the Rise of Digital Utopianism
by Fred Turner · 31 Aug 2006 · 339pp · 57,031 words
, recalled a scenario-planning session with Stewart Brand: “He changed my whole life in one scenario planning session. He asked whether we’d heard about complexity theory. . . . Little did I know he’s on the board of the Santa Fe Institute.”36 Over the next year, Hoyt reported reading another dozen books
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on complexity and came to use complexity theory as a guide to “thinking about the housing industry and other ecosystems affecting Senco.” For executives like Hoyt, the systems-oriented rhetoric of
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complexity theory, buttressed by the cultural legitimacy of Stewart Brand, offered a compelling framework within which to understand the topsy-turvy economy of the late 1980s and
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.” 63. Taylor, “Control in an Age of Chaos,” 65. 64. For critiques of Kelly’s cyberrevolutionism, see Terranova, “Digital Darwin”; Best and Kellner, “Kelly’s Complexity Theory”; Borsook, Cyberselfish. 65. As Walter Powell has pointed out, these forces included a flattening of corporate hierarchies, newly flexible employment structures for executives as well
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University Press, 1981. Bertalanffy, Ludwig von. General System Theory: Foundations, Development, Applications. New York: G. Braziller, 1968. Best, Steven, and Douglas Kellner. “Kevin Kelly’s Complexity Theory: The Politics and Ideology of Self-Organizing Systems.” Organization and Environment 12, no. 2 (1999): 141– 62. Bey, Hakim. T.A.Z.: The Temporary Autonomous
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Communications of the ACM (newsletter), 167 communication technology, and retribalization of society, 53 Communication: The Social Matrix of Psychiatry (Ruesch and Bateson), 53 Compaq, 212 complexity theory, 193 Comprehensive Designer, 56 –57, 58, 93, 117, 244, 245 CompuServe, 130, 144 computational metaphor, 15 –16, 20, 23, 27, 28, 126 computer-assisted design
Why Machines Learn: The Elegant Math Behind Modern AI
by Anil Ananthaswamy · 15 Jul 2024 · 416pp · 118,522 words
Data and the City
by Rob Kitchin,Tracey P. Lauriault,Gavin McArdle · 2 Aug 2017
The Signal and the Noise: Why So Many Predictions Fail-But Some Don't
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More Than You Know: Finding Financial Wisdom in Unconventional Places (Updated and Expanded)
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Emergence
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The Denial of Death
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Doughnut Economics: Seven Ways to Think Like a 21st-Century Economist
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The Deep Learning Revolution (The MIT Press)
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Currency Wars: The Making of the Next Gobal Crisis
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Thinking, Fast and Slow
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The Golden Ticket: P, NP, and the Search for the Impossible
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Physics in Mind: A Quantum View of the Brain
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Never Let a Serious Crisis Go to Waste: How Neoliberalism Survived the Financial Meltdown
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A Devil's Chaplain: Selected Writings
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Nomad Citizenship: Free-Market Communism and the Slow-Motion General Strike
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Culture and Prosperity: The Truth About Markets - Why Some Nations Are Rich but Most Remain Poor
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The Age of Spiritual Machines: When Computers Exceed Human Intelligence
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The Ancestor's Tale: A Pilgrimage to the Dawn of Evolution
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Human Compatible: Artificial Intelligence and the Problem of Control
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Why People Believe Weird Things: Pseudoscience, Superstition, and Other Confusions of Our Time
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The Demon in the Machine: How Hidden Webs of Information Are Finally Solving the Mystery of Life
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Everything Is Obvious: *Once You Know the Answer
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Chaos Kings: How Wall Street Traders Make Billions in the New Age of Crisis
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The Art of Computer Programming: Sorting and Searching
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Boom: Bubbles and the End of Stagnation
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Average Is Over: Powering America Beyond the Age of the Great Stagnation
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The Myth of the Rational Market: A History of Risk, Reward, and Delusion on Wall Street
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The Irrational Economist: Making Decisions in a Dangerous World
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Where Good Ideas Come from: The Natural History of Innovation
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Capital Without Borders
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On Nature and Language
by Noam Chomsky · 16 Apr 2007
In Pursuit of the Traveling Salesman: Mathematics at the Limits of Computation
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Cognitive Gadgets: The Cultural Evolution of Thinking
by Cecilia Heyes · 15 Apr 2018
The Butterfly Defect: How Globalization Creates Systemic Risks, and What to Do About It
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Silence on the Wire: A Field Guide to Passive Reconnaissance and Indirect Attacks
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Diverse Bodies, Diverse Practices: Toward an Inclusive Somatics
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A History of the Bible: The Story of the World's Most Influential Book
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The Hidden Half: How the World Conceals Its Secrets
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The End of College: Creating the Future of Learning and the University of Everywhere
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Connectography: Mapping the Future of Global Civilization
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The True and Only Heaven: Progress and Its Critics
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The Future of Money
by Bernard Lietaer · 28 Apr 2013
We-Think: Mass Innovation, Not Mass Production
by Charles Leadbeater · 9 Dec 2010 · 313pp · 84,312 words
Skin in the Game: Hidden Asymmetries in Daily Life
by Nassim Nicholas Taleb · 20 Feb 2018 · 306pp · 82,765 words
Write Great Code, Volume 2
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Unweaving the Rainbow
by Richard Dawkins · 7 Aug 2011 · 339pp · 112,979 words
Advances in Financial Machine Learning
by Marcos Lopez de Prado · 2 Feb 2018 · 571pp · 105,054 words
Machine, Platform, Crowd: Harnessing Our Digital Future
by Andrew McAfee and Erik Brynjolfsson · 26 Jun 2017 · 472pp · 117,093 words
The Greatest Story Ever Told--So Far
by Lawrence M. Krauss · 21 Mar 2017 · 335pp · 95,280 words
The Rise of the Network Society
by Manuel Castells · 31 Aug 1996 · 843pp · 223,858 words
Cities Are Good for You: The Genius of the Metropolis
by Leo Hollis · 31 Mar 2013 · 385pp · 118,314 words
Everything Bad Is Good for You: How Popular Culture Is Making Us Smarter
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Adapt: Why Success Always Starts With Failure
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Debunking Economics - Revised, Expanded and Integrated Edition: The Naked Emperor Dethroned?
by Steve Keen · 21 Sep 2011 · 823pp · 220,581 words
Darwin's Dangerous Idea: Evolution and the Meanings of Life
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Complexity: A Guided Tour
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Horizons: The Global Origins of Modern Science
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Building and Dwelling: Ethics for the City
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Life Is Simple: How Occam's Razor Set Science Free and Shapes the Universe
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Design for Hackers: Reverse Engineering Beauty
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Rethinking Money: How New Currencies Turn Scarcity Into Prosperity
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Strong Towns: A Bottom-Up Revolution to Rebuild American Prosperity
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Applied Cryptography: Protocols, Algorithms, and Source Code in C
by Bruce Schneier · 10 Nov 1993
The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity
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The Long Boom: A Vision for the Coming Age of Prosperity
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How the Mind Works
by Steven Pinker · 1 Jan 1997 · 913pp · 265,787 words
The Future of the Brain: Essays by the World's Leading Neuroscientists
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The Road to Ruin: The Global Elites' Secret Plan for the Next Financial Crisis
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City: Urbanism and Its End
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Keynes Hayek: The Clash That Defined Modern Economics
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The Fabric of Reality
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Science Fictions: How Fraud, Bias, Negligence, and Hype Undermine the Search for Truth
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Whiteshift: Populism, Immigration and the Future of White Majorities
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The Case for Space: How the Revolution in Spaceflight Opens Up a Future of Limitless Possibility
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Nuts and Bolts: Seven Small Inventions That Changed the World (In a Big Way)
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Origin Story: A Big History of Everything
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Making Sense of Chaos: A Better Economics for a Better World
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The People's Republic of Walmart: How the World's Biggest Corporations Are Laying the Foundation for Socialism
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Growth: From Microorganisms to Megacities
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Cogs and Monsters: What Economics Is, and What It Should Be
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Quantum Computing for Everyone
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What to Think About Machines That Think: Today's Leading Thinkers on the Age of Machine Intelligence
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Life on the Edge: The Coming of Age of Quantum Biology
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Isaac Newton
by James Gleick · 1 Jan 2003 · 244pp · 68,223 words
Understanding Sponsored Search: Core Elements of Keyword Advertising
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The Death of Money: The Coming Collapse of the International Monetary System
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The Barbell Prescription: Strength Training for Life After 40
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The Patterning Instinct: A Cultural History of Humanity's Search for Meaning
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Global Catastrophic Risks
by Nick Bostrom and Milan M. Cirkovic · 2 Jul 2008
Utopias: A Brief History From Ancient Writings to Virtual Communities
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First Light: Switching on Stars at the Dawn of Time
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Grand Transitions: How the Modern World Was Made
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The Friendly Orange Glow: The Untold Story of the PLATO System and the Dawn of Cyberculture
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The Idea Factory: Bell Labs and the Great Age of American Innovation
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Peer-to-Peer
by Andy Oram · 26 Feb 2001 · 673pp · 164,804 words
How to Read a Paper: The Basics of Evidence-Based Medicine
by Trisha Greenhalgh · 18 Nov 2010 · 321pp · 97,661 words
The Organized Mind: Thinking Straight in the Age of Information Overload
by Daniel J. Levitin · 18 Aug 2014 · 685pp · 203,949 words
Algorithms to Live By: The Computer Science of Human Decisions
by Brian Christian and Tom Griffiths · 4 Apr 2016 · 523pp · 143,139 words
The Most Human Human: What Talking With Computers Teaches Us About What It Means to Be Alive
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Life Inc.: How the World Became a Corporation and How to Take It Back
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The Swerve: How the Renaissance Began
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Public Places, Urban Spaces: The Dimensions of Urban Design
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The Art of Statistics: How to Learn From Data
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Traders, Guns & Money: Knowns and Unknowns in the Dazzling World of Derivatives
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Left Behind
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Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets
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Deep Survival: Who Lives, Who Dies, and Why
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The Art of Statistics: Learning From Data
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Warnings
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Ask Me About My Uterus: A Quest to Make Doctors Believe in Women's Pain
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Chaos Engineering: System Resiliency in Practice
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The Human Cosmos: A Secret History of the Stars
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Uncharted: How to Map the Future
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The Classical School
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Vanishing New York
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The Great Shark Hunt: Strange Tales From a Strange Time
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Inventor of the Future: The Visionary Life of Buckminster Fuller
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A History of the World in Seven Cheap Things: A Guide to Capitalism, Nature, and the Future of the Planet
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Paradox: The Nine Greatest Enigmas in Physics
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Why geography matters: three challenges facing America : climate change, the rise of China, and global terrorism
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This Changes Everything: Capitalism vs. The Climate
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Rethinking Capitalism: Economics and Policy for Sustainable and Inclusive Growth
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Infinite Powers: How Calculus Reveals the Secrets of the Universe
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When More Is Not Better: Overcoming America's Obsession With Economic Efficiency
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Spineless: The Science of Jellyfish and the Art of Growing a Backbone
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The Government of No One: The Theory and Practice of Anarchism
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Extreme Economies: Survival, Failure, Future – Lessons From the World’s Limits
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Simple Rules: How to Thrive in a Complex World
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What Happened to Goldman Sachs: An Insider's Story of Organizational Drift and Its Unintended Consequences
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The Kingdom of Speech
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Quackery: A Brief History of the Worst Ways to Cure Everything
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Turing's Vision: The Birth of Computer Science
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Cyber War: The Next Threat to National Security and What to Do About It
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Little Bets: How Breakthrough Ideas Emerge From Small Discoveries
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Judas Unchained
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Artificial Unintelligence: How Computers Misunderstand the World
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The Clockwork Universe: Saac Newto, Royal Society, and the Birth of the Modern WorldI
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The Undoing Project: A Friendship That Changed Our Minds
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Second World: Empires and Influence in the New Global Order
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The Connected Company
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Creativity, Inc.: Overcoming the Unseen Forces That Stand in the Way of True Inspiration
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Debt of Honor
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Whole Earth: The Many Lives of Stewart Brand
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Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media
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Wordslut: A Feminist Guide to Taking Back the English Language
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