By encouraging students to question, and teaching students how to test their assumptions, Lilienfeld motivates students to use scientific thinking skills to better understand the complex world of psychology.

    The author has a direct style. His book presents detailed and intensive explanations. Many diagrams and key examples are used to aid understanding, as well as the application of calculus to physics and engineering and economics. The text is well organized, and it covers single variable and multivariable calculus in depth. An instructor's manual and student guide are available online at http: //ocw.mit.edu/ans7870/resources/Strang/....

    In 1966, simple Darwinism, which holds that evolution functions primarily at the level of the individual organism, was threatened by opposing concepts such as group selection, a popular idea stating that evolution acts to select entire species rather than individuals. George Williams's famous argument in favor of the Darwinists struck a powerful blow to those in opposing camps. His Adaptation and Natural Selection, now a classic of science literature, is a thorough and convincing essay in defense of Darwinism; its suggestions for developing effective principles for dealing with the evolution debate and its relevance to many fields outside biology ensure the timelessness of this critical work.

    It combines the latest findings from the field of neuroscience with expert text and state-of-the-art illustrations and imaging techniques to provide an incomparable insight into every facet of the brain. Layer by layer, it reveals the fascinating details of this remarkable structure, covering all the key anatomy and delving into the inner workings of the mind, unlocking its many mysteries, and helping you to understand what's going on in those millions of little gray and white cells.Tricky concepts are illustrated and explained with clarity and precision, as The Human Brain Book looks at how the brain sends messages to the rest of the body, how we think and feel, how we perform unconscious actions (for example breathing), explores the nature of genius, asks why we behave the way we do, explains how we see and hear things, and how and why we dream. Physical and psychological disorders affecting the brain and nervous system are clearly illustrated and summarized in easy-to-understand terms.The unique DVD brings the subject to life with interactive elements. These include a clickable model of the brain's structure that allows the user to zoom in and discover deeper layers of detail, while complex processes, such as the journey of a nerve impulse, are broken down and simplified through intuitive animations.

    Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. She flunked her way through high school math and science courses, before enlisting in the army immediately after graduation. When she saw how her lack of mathematical and technical savvy severely limited her options—both to rise in the military and to explore other careers—she returned to school with a newfound determination to re-tool her brain to master the very subjects that had given her so much trouble throughout her entire life. In A Mind for Numbers, Dr. Oakley lets us in on the secrets to effectively learning math and science—secrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutions—you just need the creativity to see them. For example, there are more than three hundred different known proofs of the Pythagorean Theorem. In short, studying a problem in a laser-focused way until you reach a solution is not an effective way to learn math. Rather, it involves taking the time to step away from a problem and allow the more relaxed and creative part of the brain to take over. A Mind for Numbers shows us that we all have what it takes to excel in math, and learning it is not as painful as some might think!

    But what if free will doesn't exist? What if our lives are largely predetermined, hardwired in our brains - and our choices over what we eat, who we fall in love with, even what we believe are not real choices at all? Neuroscience is challenging everything we think we know about ourselves, revealing how we make decisions and form our own reality, unaware of the role of our unconscious minds. Did you know, for example, that:* You can carry anxieties and phobias across generations of your family?* Your genes and pleasure and reward receptors in your brain will determine how much you eat?* We can sniff out ideal partners with genes that give our offspring the best chance of survival?Leading neuroscientist Hannah Critchlow draws vividly from everyday life and other experts in their field to show the extraordinary potential, as well as dangers, which come with being able to predict our likely futures - and looking at how we can alter what's in store for us. Lucid, illuminating, awe-inspiring The Science of Fate revolutionises our understanding of who we are - and empowers us to help shape a better future for ourselves and the wider world.

    A brilliantly clear and penetrating exposition of developments in physical science and mathematics brought about by the advent of non-Euclidean geometries, including in-depth coverage of the foundations of geometry, the theory of time, Einstein's theory of relativity and its consequences, other key topics.

    The analytic material is accompanied by many applications, examples, and exercises. The theory of noncooperative games studies the behavior of agents in any situation where each agent's optimal choice may depend on a forecast of the opponents' choices. "Noncooperative" refers to choices that are based on the participant's perceived selfinterest. Although game theory has been applied to many fields, Fudenberg and Tirole focus on the kinds of game theory that have been most useful in the study of economic problems. They also include some applications to political science. The fourteen chapters are grouped in parts that cover static games of complete information, dynamic games of complete information, static games of incomplete information, dynamic games of incomplete information, and advanced topics.--mitpress.mit.edu

    Based on the experience of the authors in teaching Mathematics Courses for almost four decades at the Institute of Technology, New Delhi, this text book rather than a guide/problem book, lays emphasis on the presentation of fundamentals and theoretical concepts in an intelligible and easy to understand manner.

    The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. Now this bestseller is available in a new 6th edition.

    Distinguishing agents (e.g., molecules, cells, animals, and species) from their interactions (e.g., chemical reactions, immune system responses, sexual reproduction, and evolution), Flake argues that it is the computational properties of interactions that account for much of what we think of as beautiful and interesting. From this basic thesis, Flake explores what he considers to be today's four most interesting computational topics: fractals, chaos, complex systems, and adaptation.Each of the book's parts can be read independently, enabling even the casual reader to understand and work with the basic equations and programs. Yet the parts are bound together by the theme of the computer as a laboratory and a metaphor for understanding the universe. The inspired reader will experiment further with the ideas presented to create fractal landscapes, chaotic systems, artificial life forms, genetic algorithms, and artificial neural networks.

    Following an introduction to neural structure and function, all the key methods and procedures of cognitive neuroscience are explained, with a view to helping students understand how they can be used to shed light on the neural basis of cognition.The second part of the book goes on to present an up-to-date overview of the latest theories and findings in all the key topics in cognitive neuroscience, including vision, attention, memory, speech and language, numeracy, executive function and social and emotional behaviour. Throughout, case studies, newspaper reports and everyday examples are used to provide an easy way in to understanding the more challenging ideas that underpin the subject.In addition each chapter includes:Summaries of key terms and points Example essay questions to aid exam preparation Recommended further reading Feature boxes exploring interesting and popular questions and their implications for the subject.Written in an engaging style by a leading researcher in the field, this book will be invaluable as a core text for undergraduate modules in cognitive neuroscience. It can also be used as a key text on courses in cognition, cognitive neuropsychology or brain and behaviour. Those embarking on research will find it an invaluable starting point and reference.We offer CD-ROM-based resources free of charge to instructors who recommend The Student's Guide to Cognitive Neuroscience by Jamie Ward. These resources include:A chapter-by-chapter, illustrated slideshow lecture course An innovative bank of multiple-choice questions, graded according to difficulty and which allow for confidence-weighted answers Comprehensive lecture planning advice tailored to different length courses.Jamie Ward has researched and taught extensively in many areas of cognitive neuroscience. He is a leading authority on the subject of synaesthesia and has contributed to a wider understanding of it in both academic and lay circles.

    This work represents the views of a mathematician on the analogies between computing machines and the living human brain.

    This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics--particularly in machine learning, scientific modeling, and artificial life--and reviews a broad span of research, including the work of Mitchell and her colleagues.The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting general purpose nature of genetic algorithms as search methods that can be employed across disciplines.An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.

    It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models.