My interest in the history of digital computers became an active one when I had the fortune to come across the almost entirely forgotten work of PERCY LUDGATE, who designed a mechanical program-controlled computer in Ireland in the early I ':ICC's. I undertook an investigation of his life and work, during which I began to realise that a large number of early developments, which we can now see as culminating in the modern digital computer, had been most undeservedly forgotten. Hopefully, historians of science, some of whom are now taking up the subject of the development of the computer and accumulating valuable data, particularly about the more recent events from the people concerned, will before too long provide us with comprehensive analytical accounts of the invention of the computer. The present book merely aims to bring together some of the more important and interesting written source material for such a history of computers. (Where necessary, papers have been translated into English, but every attempt has been made to retain the flavour of the original, and to avoid possibly misleading use of modern computing terminology.

This book provides an overview of the confluence of ideas in Turing’s era and work and examines the impact of his work on mathematical logic and theoretical computer science. It combines contributions by well-known scientists on the history and philosophy of computability theory as well as on generalised Turing computability. By looking at the roots and at the philosophical and technical influence of Turing’s work, it is possible to gather new perspectives and new research topics which might be considered as a continuation of Turing’s working ideas well into the 21st century.

Exploring a vast array of topics related to computation, Computing: A Historical and Technical Perspective covers the historical and technical foundation of ancient and modern-day computing. The book starts with the earliest references to counting by humans, introduces various number systems, and discusses mathematics in early civilizations. It guides readers all the way through the latest advances in computer science, such as the design and analysis of computer algorithms. Through historical accounts, brief technical explanations, and examples, the book answers a host of questions, including: Why do humans count differently from the way current electronic computers do? Why are there 24 hours in a day, 60 minutes in an hour, etc.? Who invented numbers, when were they invented, and why are there different kinds? How do secret writings and cryptography date back to ancient civilizations? Innumerable individuals from many cultures have contributed their talents and creativity to formulate what has become our mathematical and computing heritage. By bringing together the historical and technical aspects of computing, this book enables readers to gain a deep appreciation of the long evolutionary processes of the field developed over thousands of years. Suitable as a supplement in undergraduate courses, it provides a self-contained historical reference source for anyone interested in this important and evolving field.

Today, Fuzzy Set Theory is the core discipline of so-called ‘soft’ computing, and provides new impetus for research in the field of artificial intelligence. In this fascinating book, the history of Fuzzy Set Theory and the ways it was first used are incorporated into the history of 20th century science and technology. Influences from philosophy, system theory and cybernetics stemming from the earliest part of the 20th century are considered alongside those of communication and control theory from mid-century.

This work is a historical and philosophical study of the programming work carried out by John von Neumann in the period 1945-8. At the heart of the book is an examination of a manuscript featuring the earliest known surviving example of von Neumann’s coding, a routine written in 1945 to ‘mesh’ two sequences of data and intended to be part of a larger program implementing the algorithm now known as mergesort. The text of the manuscript itself, along with a preliminary document describing the code he used to write this program, are reproduced as appendices. The program is approached in three chapters describing the historical background to von Neumann’s work, the significance of the sorting application itself, and the development of the EDVAC, the machine for which the program was written. The subsequent chapters widen the focus again, discussing the subsequent evolution of the program and the crucial topic of subroutines, before concluding by situating von Neumann’s work in a number of wider contexts. The book also offers a unifying philosophical interpretation of von Neumann’s approach to coding.

Offers a theoretical and practical guide to the communication and navigation of autonomous mobile robots and multi-robot systems This book covers the methods and algorithms for the navigation, motion planning, and control of mobile robots acting individually and in groups. It addresses methods of positioning in global and local coordinates systems, off-line and on-line path-planning, sensing and sensors fusion, algorithms of obstacle avoidance, swarming techniques and cooperative behavior. The book includes ready-to-use algorithms, numerical examples and simulations, which can be directly implemented in both simple and advanced mobile robots, and is accompanied by a website hosting codes, videos, and PowerPoint slides Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming consists of four main parts. The first looks at the models and algorithms of navigation and motion planning in global coordinates systems with complete information about the robot’s location and velocity. The second part considers the motion of the robots in the potential field, which is defined by the environmental states of the robot's expectations and knowledge. The robot's motion in the unknown environments and the corresponding tasks of environment mapping using sensed information is covered in the third part. The fourth part deals with the multi-robot systems and swarm dynamics in two and three dimensions. Provides a self-contained, theoretical guide to understanding mobile robot control and navigation Features implementable algorithms, numerical examples, and simulations Includes coverage of models of motion in global and local coordinates systems with and without direct communication between the robots Supplemented by a companion website offering codes, videos, and PowerPoint slides Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming is an excellent tool for researchers, lecturers, senior undergraduate and graduate students, and engineers dealing with mobile robots and related issues.