Raghunathan uses the props of game theory and behavioural economics to provide an insight into the difficult conundrum of why we are the way we are. He puts under the scanner our attitudes towards rationality and irrationality, selflessness and selfishness, competition and cooperation, and collaboration and deception. Drawing examples from the way we behave in day-to-day situations, Games Indians Play tries to show how in the long run each one of us—whether businessmen, politicians, bureaucrats, or just plain us—stand to profit more if we were to assume a little self-regulation, give fairness a chance and strive to cooperate and collaborate a little more even if self-interests were to be our main driving force.

    Requiring essentially no background apart from mathematical maturity, the book can be used as a reference for self-study for anyone interested in complexity, including physicists, mathematicians, and other scientists, as well as a textbook for a variety of courses and seminars. More than 300 exercises are included with a selected hint set.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    

    Compelling evidence shows that genetics plays a more important role than environment as intelligence develops from childhood, and that intelligence test scores correspond strongly to specific features of the brain assessed with neuroimaging. In understandable language, Richard J. Haier explains cutting-edge techniques based on genetics, DNA, and imaging of brain connectivity and function. He dispels common misconceptions, such as the belief that IQ tests are biased or meaningless, and debunks simple interventions alleged to increase intelligence. Readers will learn about the real possibility of dramatically enhancing intelligence based on neuroscience findings and the positive implications this could have for education and social policy. The text also explores potential controversies surrounding neuro-poverty, neuro-socioeconomic status, and the morality of enhancing intelligence for everyone. Online resources, including additional visuals, animations, questions and links, reinforce the material.

    

    This book provides eloquent support for the idea that spontaneous neuron activity, far from being mere noise, is actually the source of our cognitive abilities. It takes a fresh look at the co-evolution of structure and function in the mammalian brain, illustrating how self-emerged oscillatory timing is the brains fundamental organizer of neuronal information. The small world-like connectivity of the cerebral cortex allows for global computation on multiple spatial and temporal scales. The perpetual interactions among the multiple network oscillators keep cortical systems in a highly sensitive metastable state and provide energy-efficient synchronizing mechanisms via weak links.In a sequence of cycles, Gy�rgy Buzs�ki guides the reader from the physics of oscillations through neuronal assembly organization to complex cognitive processing and memory storage. His clear, fluid writing accessible to any reader with some scientific knowledge is supplemented by extensive footnotes and references that make it just as gratifying and instructive a read for the specialist. The coherent view of a single author who has been at the forefront of research in this exciting field, this volume is essential reading for anyone interested in our rapidly evolving understanding of the brain.

    They have no magic formula or special secret. They've simply prevented the left hemisphere of their brain - the "logical," analytical side - from sabotaging their life. Whether you're a ballerina or banker, accountant or actor, At Left Brain Turn Right shows you how to silence the noise of your left brain, ignite your creative side, and live the life you've always imagined. Using relatable no-nonsense stories from his own creative journey, Anthony Meindl guides you from the left brain to the right to realize your own full creative potential.www.atleftbrainturnright.comAvailable on Amazon

    O. Wilson and E. Fuller Torry.Here for the first time is a reasoned, compassionate, spiritual journey into the world of science, where God is not so much an illusion as a hallmark of the very way in which we think."[E]xcellent reading." -Edward O. Wilson, two-time Pulitzer Prize winner

    For over a century, a diverse array of researchers have been trying to find a language that can be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it.In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when bringing the abstract world of mathematical modelling into contact with the messy details of biology.Each chapter focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command. Throughout Grace will look at the history of the field, starting with experiments done on neurons in frog legs at the turn of the twentieth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. She demonstrates the value of describing the machinery of neuroscience using the elegant language of mathematics, and reveals in full the remarkable fruits of this endeavour.

    It describes how the laws and discoveries of information theory now support controversial revisions to Darwinian evolution, begin to unravel the mysteries of language, memory and dreams, and stimulate provocative ideas in psychology, philosophy, art, music, computers and even the structure of society. Perhaps its most fascinating and unexpected surprise is the suggestion the order and complexity may be as natural as disorder and disorganization. Contrary to the entropy principle, which implies that order is the exception and confusion the rule, information theory asserts that order and sense can indeed prevail against disorder and nonsense. From the simplest forms of organic life to the words used to express our most complex ideas, from our genes to our dreams, from microcomputers to telecommunications, virtually everything around us follows simple rules of information. Life and the material world, like language, remain "grammatical." Grammatical man inhabits a grammatical universe.

    Short, clear discussions on the mechanical workings of the brain are offered and the details of brain science are covered in an accessible style. Explanations of the more familiar implications of the brain's actions, such as memories, perceptions, and motor control are integrated throughout the book. It has chapters on brain processes and the causes of "altered mental states," as well as a final chapter that discusses possible future developments in neuroscience, touching on artificial intelligence, gene therapy, the importance of the Human Genome Project, drugs by design, and transplants. Up-to-date coverage of the newest developments in brain research and suggestions for future research on the brain are also included. About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam.

    This book - Buddhism for beginners, tackles the most basic question on Buddhism: What is the essence of Buddhism? It explains the life of Buddha in detail and also highlights the methodology that you can deploy in order to become 'Buddha' in real life. You can treat this simple book as your manual for a mindful, aware, peaceful and satisfied life. The detailed chapter on meditation not only guides you through the manner in which you can meditate, it also answers some of the most important questions related to meditation. The five percepts of Buddhism are explained with examples in simple English that everybody can understand. There is also a detailed chapter on mindfulness and living the Buddhist lifestyle in real life. Remember, Buddhism is a way of life - it is the philosophy of life and this book is not intended to modify your existing religious beliefs in any manner. It simply supplements those beliefs so that you can develop mindfulness in all your actions in order to live a blissful life! A Preview to Buddhism for Beginners - What Is Buddhism? - Who Was The Buddha? - Buddhist Traditions - The Theravada School Of Thought - The Mahayana School Of Thought - The Vajrayana School Of Thought - The Three Treasures Or Jewels Of Buddhism - The Three Poisons Or Roots Of Evil In Buddhism - The Five Percepts Of Buddhism - The Ten Grand Percepts - The Foundation Of Buddhism - The Four Noble Truths - Living The Buddhist Philosophy: The Eightfold Path - A Day In The Life Of A Buddhist - Living In The Present - Mindfulness And Meditation - Having Faith - Meditating On Koans - Karma And Reincarnation Start Getting the Benefits of Buddhism for Beginners!! Grab this book today! You can read on your Kindle, PC, MAC, Smart Phone, or Tablet! For less than a cup of coffee you can buy a book that could change your life for the better..... Simply scroll up and click the BUY button to instantly download Buddhism for Beginners: Everything You Need to Know about Buddhism for Complete Beginners Tags: Buddhism, Buddhism for Beginners, Buddhism guide, Buddhism ultimate guide, learn Buddhism, modern Buddhism, Buddha, philosophy, essence of Buddhism, Buddhism for dummies, practice Buddhism, Buddhism plain and simple

    John C. Lilly explodes our sense of the boundaries of the human brain, as he details his controversial experiments with exploring the mind's vast potential. Starting from the position that man is essentially a biological computer, Lilly explains we are all born with some "programs"--such as eating, sleeping, and feeling pain--ingrained in our genetic code. Our ability to take in new information and to develop ideas beyond these innate programs depends on our capacity for "metaprogramming," or learning to learn. Here Lilly documents both the methods and results of his famous experiments with expanding the mind's metaprogramming power with LSD and sensory deprivation. By altering the brain's normal operations with psychotropic substances or freeing it of the need to create a safe environment, the range of human thought, Lilly contends, can be increased beyond any previous expectations. Combining intellectual creativity and scientific rigor, Programming and Metaprogramming in the Human Biocomputer provides intriguing insights into the workings of the brain and the process of thought.