Austin Healey 100 & 3000 Series

The Big Healey's took the motoring world by storm in the 1950s and 60s. These powerful and fascinating cars were not only immensely popular as production cars, but also enjoyed considerable success in rallying and racing. They remain one of the best-loved classic sports cars today. Austin Healey Series is the in-depth and riveting story of the marque evolution, from Donald Healey's initial inspiration to the Leyland take-over that saw the end of Austin-Healey. Topics covered include: complete history of the company and development of 100 & 3000 models; full specification tables and finally, detailed accounts of the cars competition fortunes.

"This highly readable and informative book will appeal to all classic car enthusiasts." Classic Car Weekly "Famous cars, famous people, the Warwick, Longbridge and Abingdon days, production figures, specifications and evolution - it's all here... A must for Healey fans." Classic and Sportscar

Graham Robson is a distinguished motoring historian, whose working life has always been connected with fine cars and advanced engines. After starting his career at Jaguar, then running the 'works' motorsport team at Triumph, he developed a passion for motoring heritage, and for classic cars. He has been an independent writer, historian and motoring consultant for many years, and has now written more than 130 books.

The first comparative examination of planning paradigms This text begins with the principle that the ability to anticipate and plan is an essential feature of intelligent systems, whether human or machine. It further assumes that better planning results in greater achievements. With these principles as a foundation, Planning in Intelligent Systems provides readers with the tools needed to better understand the process of planning and to become better planners themselves. The text is divided into two parts: Part One, "Theoretical," discusses the predominant schools of thought in planning: psychology and cognitive science, organizational science, computer science, mathematics, artificial intelligence, and systems theory. In particular, the book examines commonalities and differences among the goals, methods, and techniques of these various approaches to planning. The result is a better understanding of the process of planning through the cross-fertilization of ideas. Each chapter contains a short introduction that sets forth the interrelationships of that chapter to the main ideas featured in the other chapters. Part Two, "Practical," features six chapters that center on a case study of The Netherlands Railways. Readers learn to apply theory to a real-world situation and discoverhow expanding their repertoire of planning methods can help solve seemingly intractable problems. All chapters have been contributed by leading experts in the various schools of planning and carefully edited to ensure a consistent high standard throughout. This book is designed to not only expand the range of planning tools used, but also to enable readers to use them more effectively. It challenges readers to look at new approaches and learn from new schools of thought. Planning in Intelligent Systems delivers effective planning approaches for researchers, professors, students, and practitioners in artificial intelligence, computer science, cognitive psychology, and mathematics, as well as industry planners and managers.

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