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Computer simulation has become an important means for obtaining knowledge about nature. The practice of scientific simulation and the frequent use of uncertain simulation results in public policy raise a wide range of philosophical questions. Most prominently highlighted is the field of anthropogenic climate change—are humans currently changing the climate? Referring to empirical results from science studies and political science, Simulating Nature: A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice, Second Edition addresses questions about the types of uncertainty associated with scientific simulation and about how these uncertainties can be communicated. The author, who participated in the United Nations’ Intergovernmental Panel on Climate Change (IPCC) plenaries in 2001 and 2007, discusses the assessment reports and workings of the IPCC. This second edition reflects the latest developments in climate change policy, including a thorough update and rewriting of sections that refer to the IPCC.
Computer simulation has become an important means for obtaining knowledge about nature. The practice of scientific simulation and the frequent use of uncertain simulation results in public policy raise a wide range of philosophical questions. Most prominently highlighted is the field of anthropogenic climate change-are humans currently changing the
All aboard The Coding Train! This beginner-friendly creative coding tutorial is designed to grow your skills in a fun, hands-on way as you build simulations of real-world phenomena with “The Coding Train” YouTube star Daniel Shiffman. What if you could re-create the awe-inspiring flocking patterns of birds or the hypnotic dance of fireflies—with code? For over a decade, The Nature of Code has empowered countless readers to do just that, bridging the gap between creative expression and programming. This innovative guide by Daniel Shiffman, creator of the beloved Coding Train, welcomes budding and seasoned programmers alike into a world where code meets playful creativity. This JavaScript-based edition of Shiffman’s groundbreaking work gently unfolds the mysteries of the natural world, turning complex topics like genetic algorithms, physics-based simulations, and neural networks into accessible and visually stunning creations. Embark on this extraordinary adventure with projects involving: A physics engine: Simulate the push and pull of gravitational attraction. Flocking birds: Choreograph the mesmerizing dance of a flock. Branching trees: Grow lifelike and organic tree structures. Neural networks: Craft intelligent systems that learn and adapt. Cellular automata: Uncover the magic of self-organizing patterns. Evolutionary algorithms: Play witness to natural selection in your code. Shiffman’s work has transformed thousands of curious minds into creators, breaking down barriers between science, art, and technology, and inviting readers to see code not just as a tool for tasks but as a canvas for boundless creativity. Whether you’re deciphering the elegant patterns of natural phenomena or crafting your own digital ecosystems, Shiffman’s guidance is sure to inform and inspire. The Nature of Code is not just about coding; it’s about looking at the natural world in a new way and letting its wonders inspire your next creation. Dive in and discover the joy of turning code into art—all while mastering coding fundamentals along the way. NOTE: All examples are written with p5.js, a JavaScript library for creative coding, and are available on the book's website.
Computer simulation has become an important means for obtaining knowledge about nature. The practice of scientific simulation and the frequent use of uncertain simulation results in public policy give rise to a wide range of philosophical questions. Referring to empirical results from science studies and political science, the author addresses the following philosophical questions: What specific types of uncertainty are associated with scientific simulation? What are the differences and similarities between simulation uncertainty and experimental uncertainty? What are appropriate ways to assess and communicate scientific simulation uncertainties in science-for-policy? One policy arena in which these questions figure most prominently is highlighted, that of anthropogenic climate change. Are humans currently changing the climate? Simulation results play a crucial role in the attribution of climate change to human influences. In this study, the specific types of uncertainty associated with this attribution are closely examined. The scientific knowledge about climate change enters the policymaking arena through the assessment reports produced every few years by the United Nations' Intergovernmental Panel on Climate Change (IPCC). The author participated as a 'philosophical observer' to the IPCC through the Dutch government delegation in order to obtain first-hand insights into how computer-simulation uncertainties are dealt with in such assessments. The final question addressed in this study is whether these uncertainties have been appropriately assessed and communicated in the Working Group I contribution to the Third Assessment Report of the IPCC (2001). The book is intended for a diverse audience of philosophers, natural and social scientists, and policy-makers. Book jacket.
Computer simulation has become an important means for obtaining knowledge about nature. The practice of scientific simulation and the frequent use of uncertain simulation results in public policy raise a wide range of philosophical questions. Most prominently highlighted is the field of anthropogenic climate change-are humans currently changing the
This book is based on notes for the course Fractals:lntroduction, Basics and Perspectives given by MichaelF. Barnsley, RobertL. Devaney, Heinz-Otto Peit gen, Dietmar Saupe and Richard F. Voss. The course was chaired by Heinz-Otto Peitgen and was part of the SIGGRAPH '87 (Anaheim, California) course pro gram. Though the five chapters of this book have emerged from those courses we have tried to make this book a coherent and uniformly styled presentation as much as possible. It is the first book which discusses fractals solely from the point of view of computer graphics. Though fundamental concepts and algo rithms are not introduced and discussed in mathematical rigor we have made a serious attempt to justify and motivate wherever it appeared to be desirable. Ba sic algorithms are typically presented in pseudo-code or a description so close to code that a reader who is familiar with elementary computer graphics should find no problem to get started. Mandelbrot's fractal geometry provides both a description and a mathemat ical model for many of the seemingly complex forms and patterns in nature and the sciences. Fractals have blossomed enormously in the past few years and have helped reconnect pure mathematics research with both natural sciences and computing. Computer graphics has played an essential role both in its de velopment and rapidly growing popularity. Conversely, fractal geometry now plays an important role in the rendering, modelling and animation of natural phenomena and fantastic shapes in computer graphics.
The theme of the present volume concerns people' s response to the natural environment, considered at scales varying from that of a house hold plant to that of vast wilderness areas. Our decision to focus on this particular segment of the physical environment was prompted in part by the intrinsic interest in this subject on the part of a diverse group of sodal scientists and professionals-and of laypersons, for that matter and in part by the relative neglect of this topic in standard treatments of the environment-behavior field. It also serves to bring out once again the interdisdplinary nature of that field, and we are pleased to have been able to inc1ude representatives from geography, sodology, soda! ecology, and natural recreation among our contributors. We believe that this volume will serve a useful purpose in helping to integrate the find ings and concepts in this presently somewhat fragmented field, scat tered as they are over a very diverse array of publications representing a similarly varied group of spedalties. It is hoped that the result will be to stimulate future development of this area and to add a measure of in creased coherence to it. Volume 7 of our series will be devoted to the theme of elderly people and the environment, with M. Powell Lawton joining us as guest co-editor. The titles of the papers comprising Volume 7 are shown on page v. Irwin Altman J oachim F. Wohlwill ix Contents Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Silicon Second Nature takes us on an expedition into an extraordinary world where nature is made of bits and bytes and life is born from sequences of zeroes and ones. Artificial Life is the brainchild of scientists who view self-replicating computer programs—such as computer viruses—as new forms of life. Anthropologist Stefan Helmreich's look at the social and simulated worlds of Artificial Life—primarily at the Santa Fe Institute, a well-known center for studies in the sciences of complexity—introduces readers to the people and programs connected with this unusual hybrid of computer science and biology. When biology becomes an information science, when DNA is downloaded into virtual reality, new ways of imagining "life" become possible. Through detailed dissections of the artifacts of Artifical Life, Helmreich explores how these novel visions of life are recombining with the most traditional tales told by Western culture. Because Artificial Life scientists tend to see themselves as masculine gods of their cyberspace creations, as digital Darwins exploring frontiers filled with primitive creatures, their programs reflect prevalent representations of gender, kinship, and race, and repeat origin stories most familiar from mythical and religious narratives. But Artificial Life does not, Helmreich says, simply reproduce old stories in new software. Much like contemporary activities of cloning, cryonics, and transgenics, the practice of simulating and synthesizing life in silico challenges and multiplies the very definition of vitality. Are these models, as some would claim, actually another form of the real thing? Silicon Second Nature takes Artifical Life as a symptom and source of our mutating visions of life itself.