Donald D. Hoffman – författare

SHORTLISTED FOR THE PHYSICS WORLD BOOK OF THE YEAR 2019'One of the deepest and most original thinkers of his generation of cognitive scientists. His startling argument has implications for philosophy, science, and how we understand the world around us' Steven Pinker 'Is reality virtual? It's a question made even more interesting by this book' Barbara Kiser, Nature Do we see the world as it truly is? In The Case Against Reality, pioneering cognitive scientist Donald Hoffman says no? we see what we need in order to survive. Our visual perceptions are not a window onto reality, Hoffman shows us, but instead are interfaces constructed by natural selection. The objects we see around us are not unlike the file icons on our computer desktops: while shaped like a small folder on our screens, the files themselves are made of a series of ones and zeros - too complex for most of us to understand. In a similar way, Hoffman argues, evolution has shaped our perceptions into simplistic illusions to help us navigate the world around us. Yet now these illusions can be manipulated by advertising and design.Drawing on thirty years of Hoffman's own influential research, as well as evolutionary biology, game theory, neuroscience, and philosophy, The Case Against Reality makes the mind-bending yet utterly convincing case that the world is nothing like what we see through our eyes.

Based on a conference held in honor of Professor Tarow Indow, this volume is organized into three major topics concerning the use of geometry in perception: * space -- referring to attempts to represent the subjective space within which we locate ourselves and perceive objects to reside; * color -- dealing with attempts to represent the structure of color percepts as revealed by various experimental procedures; and * scaling -- focusing on the organization of various bodies of data -- in this case perceptual -- through scaling techniques, primarily multidimensional ones. These topics provide a natural organization of the work in the field, as well as one that corresponds to the major aspects of Indow's contributions. This book's goal is to provide the reader with an overview of the issues in each of the areas, and to present current results from the laboratories of leading researchers in these areas.

Based on a conference held in honor of Professor Tarow Indow, this volume is organized into three major topics concerning the use of geometry in perception: * space -- referring to attempts to represent the subjective space within which we locate ourselves and perceive objects to reside; * color -- dealing with attempts to represent the structure of color percepts as revealed by various experimental procedures; and * scaling -- focusing on the organization of various bodies of data -- in this case perceptual -- through scaling techniques, primarily multidimensional ones. These topics provide a natural organization of the work in the field, as well as one that corresponds to the major aspects of Indow's contributions. This book's goal is to provide the reader with an overview of the issues in each of the areas, and to present current results from the laboratories of leading researchers in these areas.

It is possible to buy excellent books on human vision as well as about automotive lighting. Unfortunately, these books have little or no common content. But in fact these fields do overlap. Providing optimal conditions for human vision is what automotive lighting is all about. Our motivation for writing this book arises from interdisciplinary st- ies of human vision and lighting. Initially we intended the book to provide background information on human vision to engineers working in auto- tive lighting. At the same time we planned to introduce basic concepts of automotive lighting to experts in human vision. However because of the intricate connections between human vision and automotive lighting, it turns out that the book provides new insights to anyone interested in either or both subjects. The subject matter is complex and spans a number of disciplines from psychology to mechatronics. Hence there are very few individuals who are experts in all fields. Looking at the nature of human vision, it is surprising to find out how much every one of us takes it for granted. Rarely are we aware of how we use vision predominantly to verify our internal model of our surroundings. Many accidents, particularly at night, stem from the fact that our internal model misrepresented a significant part of our surrou- ings. Taking knowledge on human vision into account in the design of - ture automotive lighting systems reduces the risk of accidents at night.