New Computer Invention

Bootstrapping analyzes the genesis of personal computing, from both technological and social perspectives, through a close study of the pathbreaking work of one researcher, Douglas Engelbart. In his lab at the Stanford Research Institute in the 1960s, Engelbart, along with a small team of researchers, developed some of the cornerstones of personal computing as we know it, including the mouse, the windowed user interface, and hypertext. Today, all these technologies are well known, even taken for granted, but the assumptions and motivations behind their invention are not. Bootstrapping establishes Douglas Engelbart's contribution through a detailed history of both the material and the symbolic constitution of his system's human-computer interface in the context of the computer research community in the United States in the 1960s and 1970s. Engelbart felt that the complexity of many of the world's problems was becoming overwhelming, and the time for solving these problems was becoming shorter and shorter. What was needed, he determined, was a system that would augment human intelligence, co-transforming or co-evolving both humans and the machines they use. He sought a systematic way to think and organize this coevolution in an effort to discover a path on which a radical technological improvement could lead to a radical improvement in how to make people work effectively. What was involved in Engelbart's project was not just the invention of a computerized system that would enable humans, acting together, to manage complexity, but the invention of a new kind of human, "the user". What he ultimately envisioned was a "bootstrapping" process by which those who actually invented the hardwareand software of this new system would simultaneously reinvent the human in a new form. The book also offers a careful narrative of the collapse of Engelbart's laboratory at Stanford Research Institute, and the further translation of Engelbart's vision.

Fuzzy logic has found applications in an incredibly wide range of areas in the relatively wide range of areas in the relatively short time since its conception. It was invented by Lotfi Zadeh, a leading systems expert, so it is perhaps not surprising that system theory is one of the areas in which fuzzy logic has made a profound impact. Fuzzy logic combined with the paradigm of computing with words allows the use and manipulation of human knowledge and reasoning in the modeling and control of dynamical systems. This monograph presents new approaches to the construction of fuzzy models and to the design of fuzzy controllers. The emphasis is on developing methods that allow systematic design on the one hand and mathematical analysis of the resulting system on the other. In particular, the methods described allow rigorous analysis of the stability and robustness of the systems, which are crucial issues in control theory. The first theme of the book is a new approach to the system design and analysis of fuzzy controllers, given linguistic information concerning the plant and the control objective. The new approach, fuzzy Lyapunov synthesis, is a computing-with-words version of the well-known (classical) Lyapunov synthesis method. The second theme of the book is to show that fuzzy controllers are in fact solutions to a nonlinear optimal control problem. The authors formulate a novel nonlinear optimal control problem, consisting of a new state-space model -- referred to as the hyperbolic state-space model -- and a new cost functional and show that its solution is a fuzzy controller. This leads to a new framework for fuzzy modeling and control that combines the advantages of the fuzzyworld, such as linguistic interpretability, and of classical optimal control theory, such as guaranteed stability and robustness.

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