Author: Grigori Grabovoi
Publisher: Createspace Independent Publishing Platform
ISBN: 9781480098442
Category :
Languages : en
Pages : 0
Book Description
Recently the world has shown great interest to the work of Grigori P. Grabovoi, head of the "International Program for health improvement of man." The method of health improvement includes diagnostics, information processing, recovery process. Grigori P. Grabovoi puts into practice all work cycles, using his abilities of clairvoyance and remote information control. Digital diagnostics is performed in addition. Grigori P. Grabovoi says: "I see my mission not only in curing. I perform matter regeneration (recovery) regardless of the initial state. This proves irrationality of destruction, shows the technology of salvation, and implements the fundamental principles of the world's ecological safety." Since Grigori P. Grabovoi regenerates after natural death, cures the 4th stage of cancer and the 4th stage of AIDS, when many organs are also destroyed, he naturally heals from any disease. Thus, Grigori P. Grabovoi implements the principle of non-dying as a method of preventing the global catastrophe threatening the whole world. Recovery cycle can be performed remotely without distance limitations. The program includes both the elimination of man-made disasters that could lead to global catastrophes, as well as control of events that overcome critical conditions as a result.
A New Unified Theory of Psychology
Author: Gregg Henriques
Publisher: Springer Science & Business Media
ISBN: 1461400589
Category : Psychology
Languages : en
Pages : 297
Book Description
Concern about psychology’s fragmentation is not new, but there has for the past decade been increasing calls for psychologists to acknowledge to the costs associated with fragmentation and to search for ways to unify the discipline. A New Unified Theory of Psychology introduces a new system that addresses psychology’s current theoretical and philosophical difficulties. The new theory consists of four interlocking pieces that together provide—for the first time—a macro-level view that clarifies the nature of psychology’s problems and offers a clear way to unify the various elements of the field. The unified theory provides the field of psychology with a well-defined subject matter, allowing both academic and professional psychologists will be able to develop a shared language and conceptual foundation.
Publisher: Springer Science & Business Media
ISBN: 1461400589
Category : Psychology
Languages : en
Pages : 297
Book Description
Concern about psychology’s fragmentation is not new, but there has for the past decade been increasing calls for psychologists to acknowledge to the costs associated with fragmentation and to search for ways to unify the discipline. A New Unified Theory of Psychology introduces a new system that addresses psychology’s current theoretical and philosophical difficulties. The new theory consists of four interlocking pieces that together provide—for the first time—a macro-level view that clarifies the nature of psychology’s problems and offers a clear way to unify the various elements of the field. The unified theory provides the field of psychology with a well-defined subject matter, allowing both academic and professional psychologists will be able to develop a shared language and conceptual foundation.
Unified Theories of Cognition
Author: Allen Newell
Publisher: Harvard University Press
ISBN: 9780674921016
Category : Psychology
Languages : en
Pages : 580
Book Description
Newell introduces Soar, an architecture for general cognition. A pioneer system in AI, Soar is the first problem-solver to create its own subgoals and learn continuously from its own experience. Its ability to operate within the real-time constraints of intelligent behavior illustrates important characteristics of human cognition.
Publisher: Harvard University Press
ISBN: 9780674921016
Category : Psychology
Languages : en
Pages : 580
Book Description
Newell introduces Soar, an architecture for general cognition. A pioneer system in AI, Soar is the first problem-solver to create its own subgoals and learn continuously from its own experience. Its ability to operate within the real-time constraints of intelligent behavior illustrates important characteristics of human cognition.
Unified Reality Theory
Author: Steven Kaufman
Publisher: Balboa Press
ISBN: 150434376X
Category : Philosophy
Languages : en
Pages : 543
Book Description
“Unified Reality Theory demonstrates that the source of reality is a universal consciousness, and that we are in no way separable from that source, and so in no way truly separable from each other or any other aspect of reality. I recommend this book to anyone interested in understanding the nature of reality and their place in it.” —Deepak Chopra Unified Reality Theory describes how all reality evolves from an absolute existence. It also demonstrates that this absolute existence must have consciousness as an attribute that’s intrinsic to its being. Thus, Unified Reality Theory shows that consciousness, rather than being a product of the evolution of physical reality, is itself the source of what we experience as physical reality, and that physical reality is itself but one aspect of an evolving universal consciousness. Unified Reality Theory shows that, most fundamentally, this absolute consciousness-existence evolves into reality by means of a single process: self-relation. That is, consciousness-existence becomes reality by forming relationships with itself, analogous in a very limited way to what happens to a rubber band that’s twisted upon itself, i.e., it remains whole while differentiating into other forms. Thus, Unified Reality Theory demonstrates that reality is a state of existential self-relation. The idea that the universe consists of existence which has formed relationships with itself isn’t new; Taoists have understood this idea for at least a couple of thousand years. What’s new here is the presentation of this idea in the form of a detailed and defined structural model that correlates with the behavior of physical reality as described by science in general and physics in particular. Ultimately, Unified Reality Theory uses science and logic to make the case that God exists, as a pervasive and absolute consciousness that transcends the realities of space and time, and that we, as well as everything else, are that!
Publisher: Balboa Press
ISBN: 150434376X
Category : Philosophy
Languages : en
Pages : 543
Book Description
“Unified Reality Theory demonstrates that the source of reality is a universal consciousness, and that we are in no way separable from that source, and so in no way truly separable from each other or any other aspect of reality. I recommend this book to anyone interested in understanding the nature of reality and their place in it.” —Deepak Chopra Unified Reality Theory describes how all reality evolves from an absolute existence. It also demonstrates that this absolute existence must have consciousness as an attribute that’s intrinsic to its being. Thus, Unified Reality Theory shows that consciousness, rather than being a product of the evolution of physical reality, is itself the source of what we experience as physical reality, and that physical reality is itself but one aspect of an evolving universal consciousness. Unified Reality Theory shows that, most fundamentally, this absolute consciousness-existence evolves into reality by means of a single process: self-relation. That is, consciousness-existence becomes reality by forming relationships with itself, analogous in a very limited way to what happens to a rubber band that’s twisted upon itself, i.e., it remains whole while differentiating into other forms. Thus, Unified Reality Theory demonstrates that reality is a state of existential self-relation. The idea that the universe consists of existence which has formed relationships with itself isn’t new; Taoists have understood this idea for at least a couple of thousand years. What’s new here is the presentation of this idea in the form of a detailed and defined structural model that correlates with the behavior of physical reality as described by science in general and physics in particular. Ultimately, Unified Reality Theory uses science and logic to make the case that God exists, as a pervasive and absolute consciousness that transcends the realities of space and time, and that we, as well as everything else, are that!
Consilience
Author: E. O. Wilson
Publisher: Vintage
ISBN: 0804154066
Category : Science
Languages : en
Pages : 485
Book Description
NATIONAL BESTSELLER • "A dazzling journey across the sciences and humanities in search of deep laws to unite them." —The Wall Street Journal One of our greatest scientists—and the winner of two Pulitzer Prizes for On Human Nature and The Ants—gives us a work of visionary importance that may be the crowning achievement of his career. In Consilience (a word that originally meant "jumping together"), Edward O. Wilson renews the Enlightenment's search for a unified theory of knowledge in disciplines that range from physics to biology, the social sciences and the humanities. Using the natural sciences as his model, Wilson forges dramatic links between fields. He explores the chemistry of the mind and the genetic bases of culture. He postulates the biological principles underlying works of art from cave-drawings to Lolita. Presenting the latest findings in prose of wonderful clarity and oratorical eloquence, and synthesizing it into a dazzling whole, Consilience is science in the path-clearing traditions of Newton, Einstein, and Richard Feynman.
Publisher: Vintage
ISBN: 0804154066
Category : Science
Languages : en
Pages : 485
Book Description
NATIONAL BESTSELLER • "A dazzling journey across the sciences and humanities in search of deep laws to unite them." —The Wall Street Journal One of our greatest scientists—and the winner of two Pulitzer Prizes for On Human Nature and The Ants—gives us a work of visionary importance that may be the crowning achievement of his career. In Consilience (a word that originally meant "jumping together"), Edward O. Wilson renews the Enlightenment's search for a unified theory of knowledge in disciplines that range from physics to biology, the social sciences and the humanities. Using the natural sciences as his model, Wilson forges dramatic links between fields. He explores the chemistry of the mind and the genetic bases of culture. He postulates the biological principles underlying works of art from cave-drawings to Lolita. Presenting the latest findings in prose of wonderful clarity and oratorical eloquence, and synthesizing it into a dazzling whole, Consilience is science in the path-clearing traditions of Newton, Einstein, and Richard Feynman.
Scientific Method in Brief
Author: Hugh G. Gauch, Jr
Publisher: Cambridge University Press
ISBN: 1107311527
Category : Science
Languages : en
Pages : 501
Book Description
The fundamental principles of the scientific method are essential for enhancing perspective, increasing productivity, and stimulating innovation. These principles include deductive and inductive logic, probability, parsimony and hypothesis testing, as well as science's presuppositions, limitations, ethics and bold claims of rationality and truth. The examples and case studies drawn upon in this book span the physical, biological and social sciences; include applications in agriculture, engineering and medicine; and also explore science's interrelationships with disciplines in the humanities such as philosophy and law. Informed by position papers on science from the American Association for the Advancement of Science, National Academy of Sciences and National Science Foundation, this book aligns with a distinctively mainstream vision of science. It is an ideal resource for anyone undertaking a systematic study of scientific method for the first time, from undergraduates to professionals in both the sciences and the humanities.
Publisher: Cambridge University Press
ISBN: 1107311527
Category : Science
Languages : en
Pages : 501
Book Description
The fundamental principles of the scientific method are essential for enhancing perspective, increasing productivity, and stimulating innovation. These principles include deductive and inductive logic, probability, parsimony and hypothesis testing, as well as science's presuppositions, limitations, ethics and bold claims of rationality and truth. The examples and case studies drawn upon in this book span the physical, biological and social sciences; include applications in agriculture, engineering and medicine; and also explore science's interrelationships with disciplines in the humanities such as philosophy and law. Informed by position papers on science from the American Association for the Advancement of Science, National Academy of Sciences and National Science Foundation, this book aligns with a distinctively mainstream vision of science. It is an ideal resource for anyone undertaking a systematic study of scientific method for the first time, from undergraduates to professionals in both the sciences and the humanities.
Statistical Machine Learning
Author: Richard Golden
Publisher: CRC Press
ISBN: 1351051490
Category : Computers
Languages : en
Pages : 525
Book Description
The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular, the material in this text directly supports the mathematical analysis and design of old, new, and not-yet-invented nonlinear high-dimensional machine learning algorithms. Features: Unified empirical risk minimization framework supports rigorous mathematical analyses of widely used supervised, unsupervised, and reinforcement machine learning algorithms Matrix calculus methods for supporting machine learning analysis and design applications Explicit conditions for ensuring convergence of adaptive, batch, minibatch, MCEM, and MCMC learning algorithms that minimize both unimodal and multimodal objective functions Explicit conditions for characterizing asymptotic properties of M-estimators and model selection criteria such as AIC and BIC in the presence of possible model misspecification This advanced text is suitable for graduate students or highly motivated undergraduate students in statistics, computer science, electrical engineering, and applied mathematics. The text is self-contained and only assumes knowledge of lower-division linear algebra and upper-division probability theory. Students, professional engineers, and multidisciplinary scientists possessing these minimal prerequisites will find this text challenging yet accessible. About the Author: Richard M. Golden (Ph.D., M.S.E.E., B.S.E.E.) is Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering at the University of Texas at Dallas. Dr. Golden has published articles and given talks at scientific conferences on a wide range of topics in the fields of both statistics and machine learning over the past three decades. His long-term research interests include identifying conditions for the convergence of deterministic and stochastic machine learning algorithms and investigating estimation and inference in the presence of possibly misspecified probability models.
Publisher: CRC Press
ISBN: 1351051490
Category : Computers
Languages : en
Pages : 525
Book Description
The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular, the material in this text directly supports the mathematical analysis and design of old, new, and not-yet-invented nonlinear high-dimensional machine learning algorithms. Features: Unified empirical risk minimization framework supports rigorous mathematical analyses of widely used supervised, unsupervised, and reinforcement machine learning algorithms Matrix calculus methods for supporting machine learning analysis and design applications Explicit conditions for ensuring convergence of adaptive, batch, minibatch, MCEM, and MCMC learning algorithms that minimize both unimodal and multimodal objective functions Explicit conditions for characterizing asymptotic properties of M-estimators and model selection criteria such as AIC and BIC in the presence of possible model misspecification This advanced text is suitable for graduate students or highly motivated undergraduate students in statistics, computer science, electrical engineering, and applied mathematics. The text is self-contained and only assumes knowledge of lower-division linear algebra and upper-division probability theory. Students, professional engineers, and multidisciplinary scientists possessing these minimal prerequisites will find this text challenging yet accessible. About the Author: Richard M. Golden (Ph.D., M.S.E.E., B.S.E.E.) is Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering at the University of Texas at Dallas. Dr. Golden has published articles and given talks at scientific conferences on a wide range of topics in the fields of both statistics and machine learning over the past three decades. His long-term research interests include identifying conditions for the convergence of deterministic and stochastic machine learning algorithms and investigating estimation and inference in the presence of possibly misspecified probability models.
Software Requirements Using the Unified Process
Author: Daniel R. Windle
Publisher: Prentice Hall Professional
ISBN: 9780130969729
Category : Computers
Languages : en
Pages : 282
Book Description
Software Requirements Using the Unified Process: A Practical Approach presents an easy-to-apply methodology for creating requirements. Learn to build user requirements, requirements architecture, and the specifications more quickly and at a lower cost. The authors present realistic solutions for the entire requirements process: gathering, analysis, specification, and maintenance.
Publisher: Prentice Hall Professional
ISBN: 9780130969729
Category : Computers
Languages : en
Pages : 282
Book Description
Software Requirements Using the Unified Process: A Practical Approach presents an easy-to-apply methodology for creating requirements. Learn to build user requirements, requirements architecture, and the specifications more quickly and at a lower cost. The authors present realistic solutions for the entire requirements process: gathering, analysis, specification, and maintenance.