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Hierarchically Intelligent Machines
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Book Synopsis Hierarchically Intelligent Machines by : George N. Saridis
Download or read book Hierarchically Intelligent Machines written by George N. Saridis and published by World Scientific. This book was released on 2001-01-01 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the result of 30 years'' work on the original material related to OC thinking machinesOCO, a subject initiated by the author and his colleagues. It is based on the ability of the computer to represent the hierarchical procedure of task conception and execution found in human beings. It is arranged in three levels representing the structure of organizational systems: organization, coordination and execution. Hierarchically Intelligent Machines can serve as a guide to modern intelligent robots. Contents: Machine Intelligence, Knowledge and Precision; Concepts and Definitions; Entropy and the Principle of Increasing Precision with Decreasing Intelligence (IDPI); The Analytic Formulation of Hierarchically Intelligent Machines; Hierarchically Intelligent Control: The Organization Level; Hierarchically Intelligent Control: The Coordination Level; Hierarchically Intelligent Control: The Execution Level; Hierarchically Intelligent Control: Application to Robotic Systems; Intelligent Manufacturing. Readership: Researchers in computer engineering."
Book Synopsis Intelligent Machines as Hierarchical Stochastic Automata by : Pedro M. U. A. Lima
Download or read book Intelligent Machines as Hierarchical Stochastic Automata written by Pedro M. U. A. Lima and published by . This book was released on 1994 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Design of Intelligent Control Systems Based on Hierarchical Stochastic Automata by : Pedro U. Lima
Download or read book Design of Intelligent Control Systems Based on Hierarchical Stochastic Automata written by Pedro U. Lima and published by World Scientific. This book was released on 1996 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years works done by most researchers towards building autonomous intelligent controllers frequently mention the need for a methodology of design and a measure of how successful the final result is. This monograph introduces a design methodology for intelligent controllers based on the analytic theory of intelligent machines introduced by Saridis in the 1970s. The methodology relies on the existing knowledge about designing the different sub-systems composing an intelligent machine. Its goal is to provide a performance measure applicable to any of the sub-systems, and use that measure to learn on-line the best among the set of pre-designed alternatives, given the state of the environment where the machine operates. Different designs can be compared using this novel approach.
Book Synopsis Hierarchical Formulation of the Dispatcher in Intelligent Machines by : Randal W. Beard
Download or read book Hierarchical Formulation of the Dispatcher in Intelligent Machines written by Randal W. Beard and published by . This book was released on 1993 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intelligent Robotic Systems: Theory, Design and Applications by : Kimon P. Valavanis
Download or read book Intelligent Robotic Systems: Theory, Design and Applications written by Kimon P. Valavanis and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the late 1960s, there has been a revolution in robots and industrial automation, from the design of robots with no computing or sensorycapabilities (first-generation), to the design of robots with limited computational power and feedback capabilities (second-generation), and the design of intelligent robots (third-generation), which possess diverse sensing and decision making capabilities. The development of the theory of intelligent machines has been developed in parallel to the advances in robot design. This theory is the natural outcome of research and development in classical control (1950s), adaptive and learning control (1960s), self-organizing control (1970s) and intelligent control systems (1980s). The theory of intelligent machines involves utilization and integration of concepts and ideas from the diverse disciplines of science, engineering and mathematics, and fields like artificial intelligence, system theory and operations research. The main focus and motivation is to bridge the gap between diverse disciplines involved and bring under a common cover several generic methodologies pertaining to what has been defined as machine intelligence. Intelligent robotic systems are a specific application of intelligent machines. They are complex computer controlled robotic systems equipped with a diverse set of visual and non visual sensors and possess decision making and problem solving capabilities within their domain of operation. Their modeling and control is accomplished via analytical and heuristic methodologies and techniques pertaining to generalized system theory and artificial intelligence. Intelligent Robotic Systems: Theory, Design and Applications, presents and justifies the fundamental concepts and ideas associated with the modeling and analysis of intelligent robotic systems. Appropriate for researchers and engineers in the general area of robotics and automation, Intelligent Robotic Systems is both a solid reference as well as a text for a graduate level course in intelligent robotics/machines.
Book Synopsis Design Of Intelligent Control Systems Based On Hierarchical Stochastic Automata by : Pedro Lima
Download or read book Design Of Intelligent Control Systems Based On Hierarchical Stochastic Automata written by Pedro Lima and published by World Scientific. This book was released on 1996-03-20 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years works done by most researchers towards building autonomous intelligent controllers frequently mention the need for a methodology of design and a measure of how successful the final result is. This monograph introduces a design methodology for intelligent controllers based on the analytic theory of intelligent machines introduced by Saridis in the 1970s. The methodology relies on the existing knowledge about designing the different sub-systems composing an intelligent machine. Its goal is to provide a performance measure applicable to any of the sub-systems, and use that measure to learn on-line the best among the set of pre-designed alternatives, given the state of the environment where the machine operates. Different designs can be compared using this novel approach.
Author :National Aeronautics and Space Administration (NASA) Publisher :Createspace Independent Publishing Platform ISBN 13 :9781724983923 Total Pages :34 pages Book Rating :4.9/5 (839 download)
Book Synopsis A Computer Architecture for Intelligent Machines by : National Aeronautics and Space Administration (NASA)
Download or read book A Computer Architecture for Intelligent Machines written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-08-09 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Theory of Intelligent Machines proposes a hierarchical organization for the functions of an autonomous robot based on the Principle of Increasing Precision With Decreasing Intelligence. An analytic formulation of this theory using information-theoretic measures of uncertainty for each level of the intelligent machine has been developed in recent years. A computer architecture that implements the lower two levels of the intelligent machine is presented. The architecture supports an event-driven programming paradigm that is independent of the underlying computer architecture and operating system. Details of Execution Level controllers for motion and vision systems are addressed, as well as the Petri net transducer software used to implement Coordination Level functions. Extensions to UNIX and VxWorks operating systems which enable the development of a heterogeneous, distributed application are described. A case study illustrates how this computer architecture integrates real-time and higher-level control of manipulator and vision systems. Lefebvre, D. R. and Saridis, G. N. Unspecified Center NASA-CR-191861, NAS 1.26:191861, RPI-CIRSSE-108 NAGW-1333...
Download or read book On Intelligence written by Jeff Hawkins and published by Macmillan. This book was released on 2007-04-01 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the inventor of the PalmPilot comes a new and compelling theory of intelligence, brain function, and the future of intelligent machines Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself. Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines. The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness. In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways. Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.
Book Synopsis Super-Intelligent Machines by : Bill Hibbard
Download or read book Super-Intelligent Machines written by Bill Hibbard and published by Springer Science & Business Media. This book was released on 2002-10-31 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of contents
Book Synopsis Measuring the Performance and Intelligence of Systems by : Alex Meystel
Download or read book Measuring the Performance and Intelligence of Systems written by Alex Meystel and published by . This book was released on 2001 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Analytic Formulation of Knowledge-based Systems for Intelligent Machines by :
Download or read book An Analytic Formulation of Knowledge-based Systems for Intelligent Machines written by and published by . This book was released on 1988 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intelligent Control by : Zi-Xing Cai
Download or read book Intelligent Control written by Zi-Xing Cai and published by World Scientific. This book was released on 1997 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducton; Methology of knowledge representation; General inference principles; Hierarchical control systems; Expert control systems; Fuzzy control systems; Neurocontrol systems; Learning control systems; Intelligente control systems in application; Prospectives of intelligente control; References; Bibliography; Subject index.
Book Synopsis Reliable Plan Selection By Intelligent Machines by : John E Mclnroy
Download or read book Reliable Plan Selection By Intelligent Machines written by John E Mclnroy and published by World Scientific. This book was released on 1996-02-29 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book derives techniques which allow reliable plans to be automatically selected by Intelligent Machines. It concentrates on the uncertainty analysis of candidate plans so that a highly reliable candidate may be identified and used. For robotic components, such as a particular vision algorithm for pose estimation or a joint controller, methods are explained for directly calculating the reliability. However, these methods become excessively complex when several components are used together to complete a plan. Consequently, entropy minimization techniques are used to estimate which complex tasks will perform reliably. The book first develops tools for directly calculating the reliability of sub-systems, and methods of using entropy minimization to greatly facilitate the analysis are explained. Since these sub-systems are used together to accomplish complex tasks, the book then explains how complex tasks can be efficiently evaluated.
Book Synopsis Machine Intelligence and Knowledge Engineering for Robotic Applications by : Andrew K.C. Wong
Download or read book Machine Intelligence and Knowledge Engineering for Robotic Applications written by Andrew K.C. Wong and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the outcome of the NATO Advanced Research Workshop on Machine Intelligence and Knowledge Engineering for Robotic Applications held at Maratea, Italy in May 1986. Attendance of the workshop was by invitation only. Most of the participants and speakers are recognized leaders in the field, representing industry, government and academic c0mrnunity worldwide. The focus of the workshop was to review the recent advances of machine intelligence and knowledge engineering for robotic appli cations. It covers five main areas of interest. They are grouped into five sections: 1. Robot Vision 2. Knowledge Representation and Image Understanding 3. Robot Control and Inference Systems 4. Task Planning and Expert Systems 5. Software/Hardware Systems Also included in this book are a paper from the Poster Session and a brief report of the panel discussion on the Future Direction in Knowledge-Based Robotics. Section I of this book consists of four papers. It begins with a review of the basic concepts of computer vision, with emphasis on techniques specific for robot vision systems. The next paper pre sents a comprehensive 3-D vision system for robotic application.
Author :William B. Gevarter Publisher :Englewood Cliffs, N.J. : Prentice Hall ISBN 13 :9780134688107 Total Pages :314 pages Book Rating :4.6/5 (881 download)
Book Synopsis Intelligent Machines by : William B. Gevarter
Download or read book Intelligent Machines written by William B. Gevarter and published by Englewood Cliffs, N.J. : Prentice Hall. This book was released on 1985 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advanced Robotics & Intelligent Machines by : J. O. Gray
Download or read book Advanced Robotics & Intelligent Machines written by J. O. Gray and published by IET. This book was released on 1996 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced robotics describes the use of sensor-based robotic devices which exploit powerful computers to achieve the high levels of functionality that begin to mimic intelligent human behaviour. The object of this book is to summarise developments in the base technologies, survey recent applications and highlight new advanced concepts which will influence future progress.
Book Synopsis Mechatronics: Designing Intelligent Machines Volume 1 by : George Rzevski
Download or read book Mechatronics: Designing Intelligent Machines Volume 1 written by George Rzevski and published by Newnes. This book was released on 2014-06-28 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechatronics is the fusion of mechanics and electronics in the design of intelligent machines. Such machines now play an important role in consumer products, transport systems, manufacturing and the service sector. This book sets out the fundamentals of mechatronics and the engineering concepts and techniques that underpin the subject: planning, search techniques, sensors, actuators, control systems and architectures. This student guide discusses the building blocks of mechatronic systems in terms of the subsystems for perception, cognition and execution, as a framework for designing intelligent machines such as video cameras, robots, and automatic guided vehicles.
