"Digital computer simulation helps study phenomena of great complexity, but how much do we know about the limits and possibilities of this new scientific practice? How do simulations compare to traditional experiments? And are they reliable? Scrutinizing these issues with a philosophical lens, Eric Winsberg explores the impact of simulation on such issues as the nature of scientific evidence, the role of values in science, the nature and role of fictions in science, and the relationship between simulation and experiment, theories and data, and theories at different levels of description"--Cover.
Computer simulation was first pioneered as a scientific tool in meteorology and nuclear physics in the period following World War II, but it has grown rapidly to become indispensible in a wide variety of scientific disciplines, including astrophysics, high-energy physics, climate science, engineering, ecology, and economics. Digital computer simulation helps study phenomena of great complexity, but how much do we know about the limits and possibilities of this new scientific practice? How do simulations compare to traditional experiments? And are they reliable? Eric Winsberg seeks to answer these questions in Science in the Age of Computer Simulation. Scrutinizing these issue with a philosophical lens, Winsberg explores the impact of simulation on such issues as the nature of scientific evidence; the role of values in science; the nature and role of fictions in science; and the relationship between simulation and experiment, theories and data, and theories at different levels of description. Science in the Age of Computer Simulation will transform many of the core issues in philosophy of science, as well as our basic understanding of the role of the digital computer in the sciences.
Computer Simulation in Human Population Studies contains the proceedings of a conference held at Pennsylvania State University on June 12-14, 1972, under the sponsorship of the Social Science Research Council. The conference provided a forum for discussing the application of computer simulation techniques to human population studies and organized topics around four themes: anthropology and social systems; genetics and adaptive systems; demography; and simulation methodology. Comprised of 23 chapters, this volume begins with an analysis of two tests of computer microsimulation: the effect of an incest taboo on population viability, and the effect of age differences between spouses on the skewing of their consanguineal relationships. The reader is then introduced to computer simulation of incest prohibition and clan proscription rules in closed, finite population; an empirical perspective on simulation models of human population; and models applicable to geographic variation in humans. Subsequent chapters deal with the role of co-adapted sets in the process of adaptation; simulation of human reproduction; and the mathematics of population simulation models. This book will be of interest to anthropologists, geneticists, biologists, computer scientists, mathematicians, and social scientists.
How the simulation and visualization technologies so pervasive in science, engineering, and design have changed our way of seeing the world. Over the past twenty years, the technologies of simulation and visualization have changed our ways of looking at the world. In Simulation and Its Discontents, Sherry Turkle examines the now dominant medium of our working lives and finds that simulation has become its own sensibility. We hear it in Turkle's description of architecture students who no longer design with a pencil, of science and engineering students who admit that computer models seem more “real” than experiments in physical laboratories. Echoing architect Louis Kahn's famous question, “What does a brick want?”, Turkle asks, “What does simulation want?” Simulations want, even demand, immersion, and the benefits are clear. Architects create buildings unimaginable before virtual design; scientists determine the structure of molecules by manipulating them in virtual space; physicians practice anatomy on digitized humans. But immersed in simulation, we are vulnerable. There are losses as well as gains. Older scientists describe a younger generation as “drunk with code.” Young scientists, engineers, and designers, full citizens of the virtual, scramble to capture their mentors' tacit knowledge of buildings and bodies. From both sides of a generational divide, there is anxiety that in simulation, something important is slipping away. Turkle's examination of simulation over the past twenty years is followed by four in-depth investigations of contemporary simulation culture: space exploration, oceanography, architecture, and biology.
The book is organised around the accounts of professional designers engaged in a high-stakes competition to redefine architecture in the context of computer simulation.
The definitive exploration of one of the most daring and consequential theories of our time, completely revised and updated to reflect the rapid advances in artificial intelligence and virtual reality Are we living in a simulation? MIT computer scientist Rizwan Virk draws from research and concepts from computer science, artificial intelligence, video games, quantum physics, and ancient mystics to explain why we may be living inside a simulated reality like the Matrix. Simulation theory explains some of the biggest mysteries of quantum and relativistic physics, such as quantum indeterminacy, parallel universes, and the integral nature of the speed of light, using information and computation. Virk shows how the evolution of our video games, including virtual reality, augmented reality, artificial intelligence, and quantum computing, will lead us to a technological singularity. We will reach the simulation point, where we can develop all-encompassing virtual worlds like the OASIS in Ready Player One or The Matrix—and in fact we are already likely inside such a simulation. While the idea sounds like science fiction, many scientists, engineers, and professors have given the simulation hypothesis serious consideration, including Elon Musk, Neil deGrasse Tyson, and Nick Bostrom. But the simulation hypothesis is not just a modern idea. Philosophers of all traditions have long contended that we are living in some kind of “illusion” and that there are other realities that we can access with our minds. The Simulation Hypothesis is the definitive book on simulation theory and is now completely updated to reflect the latest developments in artificial intelligence and virtual reality. Whether you are a computer scientist, a fan of science fiction like the Matrix movies, a video game enthusiast, a spiritual seeker, or simply a fan of mind-bending thought experiments, you will never look at the world the same way again.
At a time when scientific and technological competence is vital to the nation's future, the weak performance of U.S. students in science reflects the uneven quality of current science education. Although young children come to school with innate curiosity and intuitive ideas about the world around them, science classes rarely tap this potential. Many experts have called for a new approach to science education, based on recent and ongoing research on teaching and learning. In this approach, simulations and games could play a significant role by addressing many goals and mechanisms for learning science: the motivation to learn science, conceptual understanding, science process skills, understanding of the nature of science, scientific discourse and argumentation, and identification with science and science learning. To explore this potential, Learning Science: Computer Games, Simulations, and Education, reviews the available research on learning science through interaction with digital simulations and games. It considers the potential of digital games and simulations to contribute to learning science in schools, in informal out-of-school settings, and everyday life. The book also identifies the areas in which more research and research-based development is needed to fully capitalize on this potential. Learning Science will guide academic researchers; developers, publishers, and entrepreneurs from the digital simulation and gaming community; and education practitioners and policy makers toward the formation of research and development partnerships that will facilitate rich intellectual collaboration. Industry, government agencies and foundations will play a significant role through start-up and ongoing support to ensure that digital games and simulations will not only excite and entertain, but also motivate and educate.
This book provides a vivid account of the early history of molecular simulation, a new frontier for our understanding of matter that was opened when the demands of theoretical physicists were met by the availability of the modern computers. Since their inception, electronic computers have enormously increased their performance, thus making possible the unprecedented technological revolution that characterizes our present times. This obvious technological advancement has brought with it a silent scientific revolution in the practice of theoretical physics. In particular, in the physics of matter it has opened up a direct route from the microscopic physical laws to observable phenomena. One can now study the time evolution of systems composed of millions of molecules, and simulate the behaviour of macroscopic materials and actually predict their properties. Molecular simulation has provided a new theoretical and conceptual tool that physicists could only dream of when the foundations of statistical mechanics were laid. Molecular simulation has undergone impressive development, both in the size of the scientific community involved and in the range and scope of its applications. It has become the ubiquitous workhorse for investigating the nature of complex condensed matter systems in physics, chemistry, materials and the life sciences. Yet these developments remain largely unknown outside the inner circles of practitioners, and they have so far never been described for a wider public. The main objective of this book is therefore to offer a reasonably comprehensive reconstruction of the early history of molecular simulation addressed to an audience of both scientists and interested non-scientists, describing the scientific and personal trajectories of the main protagonists and discussing the deep conceptual innovations that their work produced.
