Systems, Experts, and Computers

Systems, Experts, and Computers
Author: Agatha C. Hughes
Publisher: MIT Press
Total Pages: 526
Release: 2011-01-21
Genre: Science
ISBN: 9780262263009

This groundbreaking book charts the origins and spread of the systems movement. After World War II, a systems approach to solving complex problems and managing complex systems came into vogue among engineers, scientists, and managers, fostered in part by the diffusion of digital computing power. Enthusiasm for the approach peaked during the Johnson administration, when it was applied to everything from military command and control systems to poverty in American cities. Although its failure in the social sphere, coupled with increasing skepticism about the role of technology and "experts" in American society, led to a retrenchment, systems methods are still part of modern managerial practice. This groundbreaking book charts the origins and spread of the systems movement. It describes the major players including RAND, MITRE, Ramo-Wooldrige (later TRW), and the International Institute of Applied Systems Analysis—and examines applications in a wide variety of military, government, civil, and engineering settings. The book is international in scope, describing the spread of systems thinking in France and Sweden. The story it tells helps to explain engineering thought and managerial practice during the last sixty years.

Computer Systems that Learn

Computer Systems that Learn
Author: Sholom M. Weiss
Publisher: Morgan Kaufmann Publishers
Total Pages: 248
Release: 1991
Genre: Computers
ISBN:

This text is a practical guide to classification learning systems and their applications, which learn from sample data and make predictions for new cases. The authors examine prominent methods from each area, using an engineering approach and taking the practitioner's point of view.

Neural Network Learning and Expert Systems

Neural Network Learning and Expert Systems
Author: Stephen I. Gallant
Publisher: MIT Press
Total Pages: 392
Release: 1993
Genre: Computers
ISBN: 9780262071451

presents a unified and in-depth development of neural network learning algorithms and neural network expert systems

Artificial Experts

Artificial Experts
Author: Harry M. Collins
Publisher: Mit Press
Total Pages: 266
Release: 1992-11-13
Genre: Science
ISBN: 9780262531153

An in-depth look at the ordinary and extraordinary things computers can do.

Expert Systems

Expert Systems
Author: John Durkin
Publisher: Macmillan College
Total Pages: 1204
Release: 1994
Genre: Computers
ISBN:

Presents a step-by-step methodology for designing expert systems. Each chapter on design methodology starts with a problem and leads the reader through the design of a system which solves that problem.

Systems Performance

Systems Performance
Author: Brendan Gregg
Publisher: Pearson Education
Total Pages: 777
Release: 2014
Genre: Business & Economics
ISBN: 0133390098

The Complete Guide to Optimizing Systems Performance Written by the winner of the 2013 LISA Award for Outstanding Achievement in System Administration Large-scale enterprise, cloud, and virtualized computing systems have introduced serious performance challenges. Now, internationally renowned performance expert Brendan Gregg has brought together proven methodologies, tools, and metrics for analyzing and tuning even the most complex environments. Systems Performance: Enterprise and the Cloud focuses on Linux(R) and Unix(R) performance, while illuminating performance issues that are relevant to all operating systems. You'll gain deep insight into how systems work and perform, and learn methodologies for analyzing and improving system and application performance. Gregg presents examples from bare-metal systems and virtualized cloud tenants running Linux-based Ubuntu(R), Fedora(R), CentOS, and the illumos-based Joyent(R) SmartOS(TM) and OmniTI OmniOS(R). He systematically covers modern systems performance, including the "traditional" analysis of CPUs, memory, disks, and networks, and new areas including cloud computing and dynamic tracing. This book also helps you identify and fix the "unknown unknowns" of complex performance: bottlenecks that emerge from elements and interactions you were not aware of. The text concludes with a detailed case study, showing how a real cloud customer issue was analyzed from start to finish. Coverage includes - Modern performance analysis and tuning: terminology, concepts, models, methods, and techniques - Dynamic tracing techniques and tools, including examples of DTrace, SystemTap, and perf - Kernel internals: uncovering what the OS is doing - Using system observability tools, interfaces, and frameworks - Understanding and monitoring application performance - Optimizing CPUs: processors, cores, hardware threads, caches, interconnects, and kernel scheduling - Memory optimization: virtual memory, paging, swapping, memory architectures, busses, address spaces, and allocators - File system I/O, including caching - Storage devices/controllers, disk I/O workloads, RAID, and kernel I/O - Network-related performance issues: protocols, sockets, interfaces, and physical connections - Performance implications of OS and hardware-based virtualization, and new issues encountered with cloud computing - Benchmarking: getting accurate results and avoiding common mistakes This guide is indispensable for anyone who operates enterprise or cloud environments: system, network, database, and web admins; developers; and other professionals. For students and others new to optimization, it also provides exercises reflecting Gregg's extensive instructional experience.

Computers in Context

Computers in Context
Author: Bo Dahlbom
Publisher: Wiley-Blackwell
Total Pages: 320
Release: 1993-10-08
Genre: Science
ISBN: 9781557864055

When software systems are delivered too late, when they fail to meet the needs of their users, when only a fraction of their capacity is used, when their maintenance costs more than their development, when changes are impossible – then there is a frantic search for new and better engineering techniques and tools. Dahlbom ande Mathiassen advocate a different approach to these problems: pausing and reflection. Surprisingly little time in the education of systems developers is devoted to a consideration of the methods, goals and politics of computerization. The core of the book is an examination of the notion of quality itself. The effective computer professional must arrive at his or her sense of what quality can and should mean in a particular situation in order to resolve the inevitable creative tensions between the nature of people and that of computers, between structured systems and the process of change. The authors draw on a rich range of literature from philosophy, organizational theory, and technology and social change to support their points. But, adducing many real-life examples they avoid jargon and presuppose no formal background. Computer in Context will help students, computer professionals, and managers alike understand better what it is they are trying to do with computer systems, how and why.

Intelligent Tutoring Systems

Intelligent Tutoring Systems
Author: D. Sleeman
Publisher:
Total Pages: 364
Release: 1982
Genre: Computers
ISBN: 9780126486810

The first volume to appear on this topic and now a classic in the field, "Intelligent Tutoring Systems" provides the reader with descriptions of the major systems implemented before 1981. The introduction seeks to emphasise the principal contributions made in the field, to outline continuing research issues, and to relate these to research activities in artificial intelligence and cognitive science. Subject areas discussed are as varied as arithmetic, algebra, electronics, and medicine, together with some informal gaming environments.

Machines We Trust

Machines We Trust
Author: Marcello Pelillo
Publisher: MIT Press
Total Pages: 175
Release: 2021-08-24
Genre: Computers
ISBN: 0262362163

Experts from disciplines that range from computer science to philosophy consider the challenges of building AI systems that humans can trust. Artificial intelligence-based algorithms now marshal an astonishing range of our daily activities, from driving a car ("turn left in 400 yards") to making a purchase ("products recommended for you"). How can we design AI technologies that humans can trust, especially in such areas of application as law enforcement and the recruitment and hiring process? In this volume, experts from a range of disciplines discuss the ethical and social implications of the proliferation of AI systems, considering bias, transparency, and other issues. The contributors, offering perspectives from computer science, engineering, law, and philosophy, first lay out the terms of the discussion, considering the "ethical debts" of AI systems, the evolution of the AI field, and the problems of trust and trustworthiness in the context of AI. They go on to discuss specific ethical issues and present case studies of such applications as medicine and robotics, inviting us to shift the focus from the perspective of a "human-centered AI" to that of an "AI-decentered humanity." Finally, they consider the future of AI, arguing that, as we move toward a hybrid society of cohabiting humans and machines, AI technologies can become humanity's allies.