Used by C.S. Lewis himself, the term "scientifiction" is revived here as it once encompassed not only what we call science fiction, but also that indeterminate field of the 1940s and 1950s sometimes referred to as science fantasy (leading up to Ray Bradbury), along with a portion of that great realm that has come, since the advent of The Lord of the Rings, to be called fantasy. Rather as an eighteenth-century novel may pre-date the divide between novel and romance, so C.S. Lewis's "interplanetary" novels may be considered to pre-date the modern divide between fantasy and science fiction and thus be thought of as "scientifictional" in nature. The stories dealt with are those in which Elwin Ransom is a character, the three usually called the "space trilogy": Out of the Silent Planet, Perelandra, and That Hideous Strength--and the time-fragment entitled The Dark Tower. Lengthy chapters are devoted to each of the four Ransom stories. The book presents a study of Lewis, the nature of science fiction, the nature of Lewis's "Arcadian" science fiction and his (and its) place in English literary history.

This book presents a case for engagement between the sciences and the humanities. The author, a professional chemist, seeks to demonstrate that the connections between those fields of intellectual activity are far more significant than anything that separates them. The book combines a historical survey of the relationships between science and literature with a number of case studies that examine specific scientific episodes—several drawn from the author’s own research—juxtaposed with a variety of literary works spanning a wide range of period and genre—Dante to detective fiction, War and Peace to White Teeth—to elicit their common themes. The work argues for an empirical, non-theory-based approach, one that is closely analogous to connectionist models of brain development and function, and that can appeal to general readers, as well as to literary scholars and practicing scientists, who are open to the idea that literature and science should not be compartmentalized.

Science and Faith Can—and Do—Support Each Other Science and Christianity are often presented as opposites, when in fact the order of the universe and the complexity of life powerfully testify to intelligent design. With this comprehensive resource that includes the latest research, you’ll witness how the findings of scientists provide compelling reasons to acknowledge the mind and presence of a creator. Featuring more than 45 entries by top-caliber experts, you’ll better understand… how scientific concepts like intelligent design are supported by evidence the scientific findings that support the history and accounts found in the Bible the biases that lead to scientific information being presented as a challenge—rather than a complement—to Christianity Whether you’re looking for answers to your own questions or seeking to explain the case for intelligent design to others, The Comprehensive Guide to Science and Faith is an invaluable apologetic tool that will help you explore and analyze the relevant facts, research, and theories in light of biblical truth.

"Science in Arcady" by Grant Allen. Published by Good Press. Good Press publishes a wide range of titles that encompasses every genre. From well-known classics & literary fiction and non-fiction to forgotten−or yet undiscovered gems−of world literature, we issue the books that need to be read. Each Good Press edition has been meticulously edited and formatted to boost readability for all e-readers and devices. Our goal is to produce eBooks that are user-friendly and accessible to everyone in a high-quality digital format.

The Animals to Animats Conference brings together researchers fromethology, psychology, ecology, artificial intelligence, artificiallife, robotics, engineering, and related fields to furtherunderstanding of the behaviors and underlying mechanisms that allownatural and synthetic agents (animats) to adapt and survive inuncertain environments The Animals to Animats Conference brings together researchers from ethology, psychology, ecology, artificial intelligence, artificial life, robotics, engineering, and related fields to further understanding of the behaviors and underlying mechanisms that allow natural and synthetic agents (animats) to adapt and survive in uncertain environments. The work presented focuses on well-defined models--robotic, computer-simulation, and mathematical--that help to characterize and compare various organizational principles or architectures underlying adaptive behavior in both natural animals and animats.

In addition to presenting the latest work in the field, Artificial Life V includes a retrospective and prospective look at both artificial and natural life with the aim of refining the methods and approaches discovered so far into viable, practical tools for the pursuit of science and engineering goals. May 16-18, 1996 · Nara, Japan Despite all the successes in computer engineering, adaptive computation, bottom-up AI, and robotics, Artificial Life must not become simply a one-way bridge, borrowing biological principles to enhance our engineering efforts in the construction of life-as-it-could-be. We must ensure that we give back to biology in kind, by developing tools and methods that will be of real value in the effort to understand life-as-it-is. Artificial Life V marks a decade since Christopher Langton organized the first workshop on artificial life--a decade characterized by the exploration of new possibilities and techniques as researchers have sought to understand, through synthetic experiments, the organizing principles underlying the dynamics (usually the nonlinear dynamics) of living systems. In addition to presenting the latest work in the field, Artificial Life V includes a retrospective and prospective look at both artificial and natural life with the aim of refining the methods and approaches discovered so far into viable, practical tools for the pursuit of science and engineering goals. Complex Adaptive Systems series

From Animals to Animats 4 brings together the latest research at the frontier of an exciting new approach to understanding intelligence.

This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It is now clear that the brain is unlikely to be understood without recourse to computational theories. The theme of An Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently been extended in ways that make them useful for describing the brains programs. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It stresses the broad spectrum of learning models—ranging from neural network learning through reinforcement learning to genetic learning—and situates the various models in their appropriate neural context. To write about models of the brain before the brain is fully understood is a delicate matter. Very detailed models of the neural circuitry risk losing track of the task the brain is trying to solve. At the other extreme, models that represent cognitive constructs can be so abstract that they lose all relationship to neurobiology. An Introduction to Natural Computation takes the middle ground and stresses the computational task while staying near the neurobiology.