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Scooped by
Complexity Digest
November 14, 2012 1:30 PM
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Complex Systems are made up of numerous interacting sub-components. Non-linear interactions of these components or agents give rise to emergent behavior observable at the global scale. Agent-based modeling and simulation is a proven paradigm which has previously been used for effective computational modeling of complex systems in various domains. Because of its popular use across different scientific domains, research in agent-based modeling has primarily been vertical in nature. The goal of this book is to provide a single hands-on guide to developing cognitive agent-based models for the exploration of emergence across various types of complex systems. We present practical ideas and examples for researchers and practitioners for the building of agent-based models using a horizontal approach - applications are demonstrated in a number of exciting domains as diverse as wireless sensors networks, peer-to-peer networks, complex social systems, research networks and epidemiological HIV. Cognitive Agent-based Computing-I A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods Series: SpringerBriefs in Cognitive Computation Niazi, Muaz A, Hussain, Amir
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Scooped by
Complexity Digest
November 12, 2012 10:50 AM
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The “language-communication-society” triangle defies traditional scientific approaches. Rather, it is a phenomenon that calls for an integration of complex, transdisciplinary perspectives, if we are to make any progress in understanding how it works. The highly diverse agents in play are not merely cognitive and/or cultural, but also emotional and behavioural in their specificity. Indeed, the effort may require building a theoretical and methodological body of knowledge that can effectively convey the characteristic properties of phenomena in human terms. New complexity approaches allow us to rethink our limited and mechanistic images of human societies and create more appropriate emo-cognitive dynamic and holistic models. We have to enter into dialogue with the complexity views coming out of other more ‘material’ sciences, but we also need to take steps in the linguistic and psycho-sociological fields towards creating perspectives and concepts better fitted to human characteristics. Our understanding of complexity is different – but not opposed – to the one that is more commonly found in texts written by people working in physics or computer science, for example. The goal of this book is to extend the knowledge of these other more ‘human’ or socially oriented perspectives on complexity, taking account of the language and communication singularities of human agents in society. Complexity Perspectives on Language, Communication and Society Series: Understanding Complex Systems Massip-Bonet, Àngels; Bastardas-Boada, Albert (Eds.)
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Complexity Digest
October 23, 2012 1:45 PM
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Reaction-diffusion and excitable media are amongst most intriguing substrates. Despite apparent simplicity of the physical processes involved the media exhibit a wide range of amazing patterns: from target and spiral waves to travelling localisations and stationary breathing patterns. These media are at the heart of most natural processes, including morphogenesis of living beings, geological formations, nervous and muscular activity, and socio-economic developments. This book explores a minimalist paradigm of studying reaction-diffusion and excitable media using locally-connected networks of finite-state machines: cellular automata and automata on proximity graphs. Cellular automata are marvellous objects per se because they show us how to generate and manage complexity using very simple rules of dynamical transitions. When combined with the reaction-diffusion paradigm the cellular automata become an essential user-friendly tool for modelling natural systems and designing future and emergent computing architectures. The book brings together hot topics of non-linear sciences, complexity, and future and emergent computing. It shows how to discover propagating localisation and perform computation with them in very simple two-dimensional automaton models. Paradigms, models and implementations presented in the book strengthen the theoretical foundations in the area for future and emergent computing and lay key stones towards physical embodied information processing systems. Reaction-Diffusion Automata: Phenomenology, Localisations, Computation by Andrew Adamatzky http://www.springer.com/physics/complexity/book/978-3-642-31077-5
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Rescooped by
Complexity Digest
from FuturICT Books
October 15, 2012 1:29 PM
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Nominated as an outstanding contribution by the ETH Zurich Presents powerful new methods for understanding economic and corporate networks Written in a lucid and accessible style Will appeal to readers from many disciplines that involve complex networks Today it appears that we understand more about the universe than about our interconnected socio-economic world. In order to uncover organizational structures and novel features in these systems, we present the first comprehensive complex systems analysis of real-world ownership networks. This effort lies at the interface between the realms of economics and the emerging field loosely referred to as complexity science. The structure of global economic power is reflected in the network of ownership ties of companies and the analysis of such ownership networks has possible implications for market competition and financial stability. Thus this work presents powerful new tools for the study of economic and corporate networks that are only just beginning to attract the attention of scholars.
Via FuturICT
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Suggested by
AntonJ
October 15, 2012 1:26 PM
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We all know expectations matter—in school, in sports, in the stock market. From a healing placebo to a run on the bank, hints of their self-fulfilling potential have been observed for years. But now researchers in fields ranging from medicine to education to criminal justice are moving beyond observation to investigate exactly how expectations work—and when they don’t. In Mind Over Mind, journalist Chris Berdik offers a captivating look at the frontiers of expectations research, revealing how our brains work in the future tense and how our assumptions—about the next few milliseconds or the next few years—bend reality. We learn how placebo calories can fill us up, why wine judges can’t agree, how fake surgery can sometimes work better than real surgery, and how imaginary power can be corrupting. We meet scientists who have found that wearing taller and more attractive avatars in a virtual world boosts confidence in real life, gambling addicts whose brains make losing feel like winning, and coaches who put blurry glasses on athletes to lift them out of slumps. Along the way, Berdik probes the paradox of expectations. Their influence seems based on illusion, even trickery, but they can create their own reality, for good or for ill.
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Suggested by
AntonJ
October 8, 2012 7:41 PM
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Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger and now he is one of the nation’s most influential political forecasters.
Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the “prediction paradox”: The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.
In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good—or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary—and dangerous—science.
Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.
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Scooped by
Complexity Digest
October 8, 2012 11:51 AM
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Slime mould Physarum polycephalum is a monstrous single cell well known for its task-solving abilities — solves computational geometry and logical problems, navigates robots and generates music. The slime mould could also build motorways, highways and expressways. It is used to analyse transport networks of Africa, Australia, Belgium, Brazil, Canada, China, Germany, Iberia, Italy, Malaysia, Mexico, The Netherlands, UK and USA. The largest cities are represented by oat flakes and the slime mould is inoculated in a capital. When all oat flakes are covered by the slime mould, the structure of the protoplasmic networks formed are analyzed. In the laboratory experiments and theoretical analyses, intriguing country-specific properties of the motorway networks are uncovered and compared with the man-made and slime mould networks. They are studied as proximity graphs, leading to hierarchies of complexity and bio-rationality of the motorways. The book will inspire novel and original thoughts, paradigms and approaches for re-evaluation of historical findings on the emergence of ancient roads and will help to design future transcontinental pathways. The book is self-contained and does not require any special training or knowledge. This lavishly illustrated text will be appreciated by readers from all walks of life.
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Scooped by
Complexity Digest
September 28, 2012 6:21 PM
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Autonomous robots may become our closest companions in the near future. While the technology for physically building such machines is already available today, a problem lies in the generation of the behavior for such complex machines. Nature proposes a solution: young children and higher animals learn to master their complex brain-body systems by playing. Can this be an option for robots? How can a machine be playful? The book provides answers by developing a general principle---homeokinesis, the dynamical symbiosis between brain, body, and environment---that is shown to drive robots to self- determined, individual development in a playful and obviously embodiment- related way: a dog-like robot starts playing with a barrier, eventually jumping or climbing over it; a snakebot develops coiling and jumping modes; humanoids develop climbing behaviors when fallen into a pit, or engage in wrestling-like scenarios when encountering an opponent. The book also develops guided self-organization, a new method that helps to make the playful machines fit for fulfilling tasks in the real world. The book provides two levels of presentation. Students and scientific researchers interested in the field of robotics, self-organization and dynamical systems theory may be satisfied by the in-depth mathematical analysis of the principle, the bootstrapping scenarios, and the emerging behaviors. But the book additionally comes with a robotics simulator inviting also the non- scientific reader to simply enjoy the fabulous world of playful machines by performing the numerous experiments. "The Playful Machine" by Ralf Der and Georg Martius, Springer http://playfulmachines.com
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Suggested by
AntonJ
September 21, 2012 10:46 PM
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Consciousness is our gateway to experience: it enables us to recognize Van Gogh’s starry skies, be enraptured by Beethoven’s Fifth, and stand in awe of a snowcapped mountain. Yet consciousness is subjective, personal, and famously difficult to examine: philosophers have for centuries declared this mental entity so mysterious as to be impenetrable to science. In The Ravenous Brain, neuroscientist Daniel Bor departs sharply from this historical view, and builds on the latest research to propose a new model for how consciousness works. Bor argues that this brain-based faculty evolved as an accelerated knowledge gathering tool. Consciousness is effectively an idea factory—that choice mental space dedicated to innovation, a key component of which is the discovery of deep structures within the contents of our awareness. This model explains our brains’ ravenous appetite for information—and in particular, its constant search for patterns. Why, for instance, after all our physical needs have been met, do we recreationally solve crossword or Sudoku puzzles? Such behavior may appear biologically wasteful, but, according to Bor, this search for structure can yield immense evolutionary benefits—it led our ancestors to discover fire and farming, pushed modern society to forge ahead in science and technology, and guides each one of us to understand and control the world around us. But the sheer innovative power of human consciousness carries with it the heavy cost of mental fragility. Bor discusses the medical implications of his theory of consciousness, and what it means for the origins and treatment of psychiatric ailments, including attention-deficit disorder, schizophrenia, manic depression, and autism. All mental illnesses, he argues, can be reformulated as disorders of consciousness—a perspective that opens up new avenues of treatment for alleviating mental suffering. A controversial view of consciousness, The Ravenous Brain links cognition to creativity in an ingenious solution to one of science’s biggest mysteries.
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Suggested by
AntonJ
September 21, 2012 10:45 PM
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In this provocative, startling book, Robert D. Kaplan, the bestselling author of Monsoon and Balkan Ghosts, offers a revelatory new prism through which to view global upheavals and to understand what lies ahead for continents and countries around the world. In The Revenge of Geography, Kaplan builds on the insights, discoveries, and theories of great geographers and geopolitical thinkers of the near and distant past to look back at critical pivots in history and then to look forward at the evolving global scene. Kaplan traces the history of the world’s hot spots by examining their climates, topographies, and proximities to other embattled lands. The Russian steppe’s pitiless climate and limited vegetation bred hard and cruel men bent on destruction, for example, while Nazi geopoliticians distorted geopolitics entirely, calculating that space on the globe used by the British Empire and the Soviet Union could be swallowed by a greater German homeland. Kaplan then applies the lessons learned to the present crises in Europe, Russia, China, the Indian subcontinent, Turkey, Iran, and the Arab Middle East. The result is a holistic interpretation of the next cycle of conflict throughout Eurasia. Remarkably, the future can be understood in the context of temperature, land allotment, and other physical certainties: China, able to feed only 23 percent of its people from land that is only 7 percent arable, has sought energy, minerals, and metals from such brutal regimes as Burma, Iran, and Zimbabwe, putting it in moral conflict with the United States. Afghanistan’s porous borders will keep it the principal invasion route into India, and a vital rear base for Pakistan, India’s main enemy. Iran will exploit the advantage of being the only country that straddles both energy-producing areas of the Persian Gulf and the Caspian Sea. Finally, Kaplan posits that the United States might rue engaging in far-flung conflicts with Iraq and Afghanistan rather than tending to its direct neighbor Mexico, which is on the verge of becoming a semifailed state due to drug cartel carnage.
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Suggested by
AntonJ
September 12, 2012 4:56 PM
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Facts change all the time. Smoking has gone from doctor recommended to deadly. We used to think the Earth was the center of the universe and that Pluto was a planet. For decades, we were convinced that the brontosaurus was a real dinosaur. In short, what we know about the world is constantly changing. But it turns out there’s an order to the state of knowledge, an explanation for how we know what we know. Samuel Arbesman is an expert in the field of scientometrics—literally the science of science. Knowledge in most fields evolves systematically and predictably, and this evolution unfolds in a fascinating way that can have a powerful impact on our lives. Just as we know that a chunk of uranium can break down in a measurable amount of time—a radioactive half-life—so too any given field’s change in knowledge can be measured concretely. We can know when facts in aggregate are obsolete, the rate at which new facts are created, and even how facts spread. Arbesman takes us through a wide variety of fields, including those that change quickly, over the course of a few years, or over the span of centuries. He shows that much of what we know consists of “mesofacts”—facts that change at a middle timescale, often over a single human lifetime. Throughout, he offers intriguing examples about the face of knowledge: what English majors can learn from a statistical analysis of The Canterbury Tales, why it’s so hard to measure a mountain, and why so many parents still tell kids to eat their spinach because it’s rich in iron. The Half-life of Facts is a riveting journey into the counterintuitive fabric of knowledge. It can help us find new ways to measure the world while accepting the limits of how much we can know with certainty.
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Rescooped by
Complexity Digest
from Global Brain
September 12, 2012 4:51 PM
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This volume, with a foreword by Sir Roger Penrose, discusses the foundations of computation in relation to nature.
Via Spaceweaver
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Suggested by
AntonJ
September 7, 2012 1:28 AM
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A world-class mathematician and regular contributor to the New York Times hosts a delightful tour of the greatest ideas of math, revealing how it connects to literature, philosophy, law, medicine, art, business, even pop culture in ways we never imagined
Did O.J. do it? How should you flip your mattress to get the maximum wear out of it? How does Google search the Internet? How many people should you date before settling down? Believe it or not, math plays a crucial role in answering all of these questions and more.
Math underpins everything in the cosmos, including us, yet too few of us understand this universal language well enough to revel in its wisdom, its beauty — and its joy. This deeply enlightening, vastly entertaining volume translates math in a way that is at once intelligible and thrilling. Each trenchant chapter of The Joy of x offers an “aha!” moment, starting with why numbers are so helpful, and progressing through the wondrous truths implicit in π, the Pythagorean theorem, irrational numbers, fat tails, even the rigors and surprising charms of calculus. Showing why he has won awards as a professor at Cornell and garnered extensive praise for his articles about math for the New York Times, Strogatz presumes of his readers only curiosity and common sense. And he rewards them with clear, ingenious, and often funny explanations of the most vital and exciting principles of his discipline.
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Suggested by
Joseph Lizier
November 13, 2012 4:25 PM
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The nature of distributed computation in complex systems has often been described in terms of memory, communication and processing. This thesis presents a complete information-theoretic framework to quantify these operations on information (i.e. information storage, transfer and modification), and in particular their dynamics in space and time. The framework is applied to cellular automata, and delivers important insights into the fundamental nature of distributed computation and the dynamics of complex systems (e.g. that gliders are dominant information transfer agents). Applications to several important network models, including random Boolean networks, suggest that the capability for information storage and coherent transfer are maximised near the critical regime in certain order-chaos phase transitions. Further applications to study and design information structure in the contexts of computational neuroscience and guided self-organisation underline the practical utility of the techniques presented here. "The Local Information Dynamics of Distributed Computation in Complex Systems" Joseph T. Lizier (With foreword by Dr. Mikhail Prokopenko) Springer Theses, Springer: Berlin/Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32952-4
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Scooped by
Complexity Digest
October 30, 2012 1:02 PM
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The social sciences have sophisticated models of choice and equilibrium but little understanding of the emergence of novelty. Where do new alternatives, new organizational forms, and new types of people come from? Combining biochemical insights about the origin of life with innovative and historically oriented social network analyses, John Padgett and Walter Powell develop a theory about the emergence of organizational, market, and biographical novelty from the coevolution of multiple social networks. They demonstrate that novelty arises from spillovers across intertwined networks in different domains. In the short run actors make relations, but in the long run relations make actors. This theory of novelty emerging from intersecting production and biographical flows is developed through formal deductive modeling and through a wide range of original historical case studies. Padgett and Powell build on the biochemical concept of autocatalysis--the chemical definition of life--and then extend this autocatalytic reasoning to social processes of production and communication. Padgett and Powell, along with other colleagues, analyze a very wide range of cases of emergence. They look at the emergence of organizational novelty in early capitalism and state formation; they examine the transformation of communism; and they analyze with detailed network data contemporary science-based capitalism: the biotechnology industry, regional high-tech clusters, and the open source community. The Emergence of Organizations and Markets John F. Padgett, Walter W. Powell Princeton University Press (October 14, 2012)
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Scooped by
Complexity Digest
October 19, 2012 11:44 AM
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Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modelling probabilistic-dynamic systems using two aspects of quantum theory. The first, 'contextuality', is a way to understand interference effects found with inferences and decisions under conditions of uncertainty. The second, 'quantum entanglement', allows cognitive phenomena to be modeled in non-reductionist ways. Employing these principles drawn from quantum theory allows us to view human cognition and decision in a totally new light. Introducing the basic principles in an easy-to-follow way, this book does not assume a physics background or a quantum brain and comes complete with a tutorial and fully worked-out applications in important areas of cognition and decision.
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Suggested by
AntonJ
October 15, 2012 1:27 PM
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Boolean algebra, also called Boolean logic, is at the heart of the electronic circuitry in everything we use--from our computers and cars, to our kitchen gadgets and home appliances. How did a system of mathematics established in the Victorian era become the basis for such incredible technological achievements a century later? In The Logician and the Engineer, best-selling popular math writer Paul Nahin combines engaging problems and a colorful historical narrative to tell the remarkable story of how two men in different eras--mathematician and philosopher George Boole (1815-1864) and electrical engineer and pioneering information theorist Claude Shannon (1916-2001)--advanced Boolean logic and became founding fathers of the electronic communications age. Presenting the dual biographies of Boole and Shannon, Nahin examines the history of Boole's innovative ideas, and considers how they led to Shannon's groundbreaking work on electrical relay circuits and information theory. Along the way, Nahin presents logic problems for readers to solve and talks about the contributions of such key players as Georg Cantor, Tibor Rado, and Marvin Minsky--as well as the crucial role of Alan Turing's "Turing machine"--in the development of mathematical logic and data transmission. Nahin takes readers from fundamental concepts to a deeper and more sophisticated understanding of how a modern digital machine such as the computer is constructed. Nahin also delves into the newest ideas in quantum mechanics and thermodynamics in order to explore computing's possible limitations in the twenty-first century and beyond. The Logician and the Engineer shows how a form of mathematical logic and the innovations of two men paved the way for the digital technology of the modern world.
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Suggested by
AntonJ
October 15, 2012 1:26 PM
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In this engrossing journey into the lives of psychopaths and their infamously crafty behaviors, the renowned psychologist Kevin Dutton reveals that there is a scale of “madness” along which we all sit. Incorporating the latest advances in brain scanning and neuroscience, Dutton demonstrates that the brilliant neurosurgeon who lacks empathy has more in common with a Ted Bundy who kills for pleasure than we may wish to admit, and that a mugger in a dimly lit parking lot may well, in fact, have the same nerveless poise as a titan of industry. Dutton argues that there are indeed “functional psychopaths” among us—different from their murderous counterparts—who use their detached, unflinching, and charismatic personalities to succeed in mainstream society, and that shockingly, in some fields, the more “psychopathic” people are, the more likely they are to succeed. Dutton deconstructs this often misunderstood diagnosis through bold on-the-ground reporting and original scientific research as he mingles with the criminally insane in a high-security ward, shares a drink with one of the world’s most successful con artists, and undergoes transcranial magnetic stimulation to discover firsthand exactly how it feels to see through the eyes of a psychopath.
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Suggested by
AntonJ
October 8, 2012 7:40 PM
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The main goal is to offer readers a panorama of recent progress in nonlinear physics, complexity and transport with attractive chapters readable by a broad audience. It allows readers to gain an insight into these active fields of research and notably promotes the interdisciplinary studies from mathematics to experimental physics. To reach this aim, the book collects a selection of contributions to the CCT11 conference.
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Scooped by
Complexity Digest
September 30, 2012 6:31 PM
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An interdisciplinary volume on how computers are reshaping creativity in art and science. Computers, the Internet, and a whole array of new technologies are fundamentally changing our world. While the last decade has seen the rise of social computing, we see the next decade as one where computers will bring important changes to our understanding of creativity and the role computers can take in the creative process. Computers make us globally connected. They allow immediate access to more information than at any other time in human history. But does this new technology make us more creative? Can we build machines that are independently creative or that significantly extend our creativity into new domains? Do collaborative relationships between humans and computers enhance or curtail creative expression? These questions, and many more, are addressed in this interdisciplinary book which introduces new theories and ideas on creativity from the perspectives of science and art. Computers and Creativity Edited by Jon McCormack and Mark d'Inverno 430p. Hardcover, 2012. Published by Springer, Berlin. With a foreword by Margaret A. Boden http://www.computers-and-creativity.info
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Suggested by
AntonJ
September 21, 2012 10:47 PM
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Imagine a future in which human beings have become immune to all viruses, in which bacteria can custom-produce everyday items, like a drinking cup, or generate enough electricity to end oil dependency. Building a house would entail no more work than planting a seed in the ground. These scenarios may seem far-fetched, but pioneering geneticist George Church and science writer Ed Regis show that synthetic biology is bringing us ever closer to making such visions a reality. In Regenesis, Church and Regis explorethe possibilities—and perils—of the emerging field of synthetic biology. Synthetic biology, in which living organisms are selectively altered by modifying substantial portions of their genomes, allows for the creation of entirely new species of organisms. Until now, nature has been the exclusive arbiter of life, death, and evolution; with synthetic biology, we now have the potential to write our own biological future. Indeed, as Church and Regis show, it even enables us to revisit crucial points in the evolution of life and, through synthetic biological techniques, choose different paths from those nature originally took. Such exploits will involve far more than just microbial tinkering. Full-blown genomic engineering will make possible incredible feats, from resurrecting woolly mammoths and other extinct organisms to creating mirror life forms with a molecular structure the opposite of our own. These technologies—far from the out-of-control nightmare depicted in science fiction—have the power to improve human and animal health, increase our intelligence, enhance our memory, and even extend our life span.
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Suggested by
AntonJ
September 21, 2012 10:46 PM
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Every day, we are surrounded by millions of sounds - ambient ones like the rumble of the train and the hum of air conditioner, as well as more attention-grabbing sounds, such as human speech, music, and sirens. But how do we process what we hear every day? And how does it affect our brains and our minds? This book answers such revealing questions as: How do bats see in 3D with their ears and how did that lead to the development of medical ultrasound? What is it about the sound of fingernails on a chalkboard that makes us cringe? Why do city folks have trouble sleeping in the country, and vice versa? Why can't you get that song out of your head? Starting with the basics of auditory biology, neuroscientist and musician Seth Horowitz explains how sound affects us, and in turn, how we've learned to manipulate sound: into music, commercial jingles, car horns, and modern inventions like cochlear implants, ultrasound scans, and the mosquito ringtone. Whether you're standing in a crowded subway or a quiet meadow, you'll never hear the same way after reading this book. The Universal Sense gives new insight into what the sounds of our world have to do with the way we think, feel, and interact.
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Scooped by
Complexity Digest
September 17, 2012 3:24 PM
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(...) Motivation is complicated, too. And E. Tory Higgins has spent a long and productive career studying that complexity. Now, he brings his work together in Beyond Pleasure and Pain. It is a magisterial work. Though its core structure revolves around Higgins' own theoretical insights and empirical findings, it is encyclopedic in scope, ranging into almost every corner of psychology, historical and modern. A careful reader of this book will get a picture of the best that psychology, in general, has to offer. What a Piece of Work Is Man Barry Schwartz Science 14 September 2012: Vol. 337 no. 6100 p. 1296 http://dx.doi.org/10.1126/science.1227731
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Suggested by
AntonJ
September 12, 2012 4:55 PM
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The modern materialist approach to life has conspicuously failed to explain such central mind-related features of our world as consciousness, intentionality, meaning, and value. This failure to account for something so integral to nature as mind, argues philosopher Thomas Nagel, is a major problem, threatening to unravel the entire naturalistic world picture, extending to biology, evolutionary theory, and cosmology.
Since minds are features of biological systems that have developed through evolution, the standard materialist version of evolutionary biology is fundamentally incomplete. And the cosmological history that led to the origin of life and the coming into existence of the conditions for evolution cannot be a merely materialist history, either. An adequate conception of nature would have to explain the appearance in the universe of materially irreducible conscious minds, as such.
Nagel's skepticism is not based on religious belief or on a belief in any definite alternative. In Mind and Cosmos, he does suggest that if the materialist account is wrong, then principles of a different kind may also be at work in the history of nature, principles of the growth of order that are in their logical form teleological rather than mechanistic.
In spite of the great achievements of the physical sciences, reductive materialism is a world view ripe for displacement. Nagel shows that to recognize its limits is the first step in looking for alternatives, or at least in being open to their possibility.
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Scooped by
Complexity Digest
September 7, 2012 2:15 AM
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The costs of either rebuilding or relocating in response are enormous but unavoidable. Furthermore, since the economies of many coastal communities are based on fisheries and tourism, the impacts of anthropogenic climate change threaten their long-term sustainability. Given their vulnerability, coastal communities are on the front line of global warming. But do they have the capacity to adapt to so much environmental change? Do their responses to past challenges suggest strategies for coping with future change? Can we predict which communities are most vulnerable and help them to become more resilient? Pryzant L-K, Bruno JF (2012) What to Do When the Oceans Rise. PLoS Biol 10(9): e1001387. http://dx.doi.org/10.1371/journal.pbio.1001387
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