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Principles Of Synthetic Intelligence Psi An Architecture Of Motivated Cognition


Principles Of Synthetic Intelligence Psi An Architecture Of Motivated Cognition
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Principles Of Synthetic Intelligence


Principles Of Synthetic Intelligence
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Author : Joscha Bach
language : en
Publisher: Oxford University Press
Release Date : 2009-04-06

Principles Of Synthetic Intelligence written by Joscha Bach and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-06 with Psychology categories.


From the Foreword: "In this book Joscha Bach introduces Dietrich Dörner's PSI architecture and Joscha's implementation of the MicroPSI architecture. These architectures and their implementation have several lessons for other architectures and models. Most notably, the PSI architecture includes drives and thus directly addresses questions of emotional behavior. An architecture including drives helps clarify how emotions could arise. It also changes the way that the architecture works on a fundamental level, providing an architecture more suited for behaving autonomously in a simulated world. PSI includes three types of drives, physiological (e.g., hunger), social (i.e., affiliation needs), and cognitive (i.e., reduction of uncertainty and expression of competency). These drives routinely influence goal formation and knowledge selection and application. The resulting architecture generates new kinds of behaviors, including context dependent memories, socially motivated behavior, and internally motivated task switching. This architecture illustrates how emotions and physical drives can be included in an embodied cognitive architecture. The PSI architecture, while including perceptual, motor, learning, and cognitive processing components, also includes several novel knowledge representations: temporal structures, spatial memories, and several new information processing mechanisms and behaviors, including progress through types of knowledge sources when problem solving (the Rasmussen ladder), and knowledge-based hierarchical active vision. These mechanisms and representations suggest ways for making other architectures more realistic, more accurate, and easier to use. The architecture is demonstrated in the Island simulated environment. While it may look like a simple game, it was carefully designed to allow multiple tasks to be pursued and provides ways to satisfy the multiple drives. It would be useful in its own right for developing other architectures interested in multi-tasking, long-term learning, social interaction, embodied architectures, and related aspects of behavior that arise in a complex but tractable real-time environment. The resulting models are not presented as validated cognitive models, but as theoretical explorations in the space of architectures for generating behavior. The sweep of the architecture can thus be larger-it presents a new cognitive architecture attempting to provide a unified theory of cognition. It attempts to cover perhaps the largest number of phenomena to date. This is not a typical cognitive modeling work, but one that I believe that we can learn much from." --Frank E. Ritter, Series Editor Although computational models of cognition have become very popular, these models are relatively limited in their coverage of cognition-- they usually only emphasize problem solving and reasoning, or treat perception and motivation as isolated modules. The first architecture to cover cognition more broadly is PSI theory, developed by Dietrich Dorner. By integrating motivation and emotion with perception and reasoning, and including grounded neuro-symbolic representations, PSI contributes significantly to an integrated understanding of the mind. It provides a conceptual framework that highlights the relationships between perception and memory, language and mental representation, reasoning and motivation, emotion and cognition, autonomy and social behavior. It is, however, unfortunate that PSI's origin in psychology, its methodology, and its lack of documentation have limited its impact. The proposed book adapts Psi theory to cognitive science and artificial intelligence, by elucidating both its theoretical and technical frameworks, and clarifying its contribution to how we have come to understand cognition.



Principles Of Synthetic Intelligence Psi An Architecture Of Motivated Cognition


Principles Of Synthetic Intelligence Psi An Architecture Of Motivated Cognition
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Author : Joscha Bach
language : en
Publisher: Oxford University Press
Release Date : 2009-04-06

Principles Of Synthetic Intelligence Psi An Architecture Of Motivated Cognition written by Joscha Bach and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-06 with Computers categories.


This title features chapters on machines to explain the mind Domer's 'blueprint for a mind', representation of and for mental processes, language and future avenues, from PSI to microPSI and much more.



How To Build A Brain


How To Build A Brain
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Author : Chris Eliasmith
language : en
Publisher: Oxford University Press
Release Date : 2013-04-16

How To Build A Brain written by Chris Eliasmith and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-16 with Psychology categories.


How to Build a Brain provides a detailed exploration of a new cognitive architecture - the Semantic Pointer Architecture - that takes biological detail seriously, while addressing cognitive phenomena. Topics ranging from semantics and syntax, to neural coding and spike-timing-dependent plasticity are integrated to develop the world's largest functional brain model.



Artificial General Intelligence


Artificial General Intelligence
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Author : Jürgen Schmidhuber
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-07-19

Artificial General Intelligence written by Jürgen Schmidhuber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-19 with Computers categories.


This book constitutes the refereed proceedings of the 4th International Conference on Artificial General Intelligence, AGI 2011, held in Mountain View, CA, USA, in August 2011. The 28 revised full papers and 26 short papers were carefully reviewed and selected from 103 submissions. The papers are written by leading academic and industry researchers involved in scientific and engineering work and focus on the creation of AI systems possessing general intelligence at the human level and beyond.



Machine Learning


Machine Learning
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Author : R.S. Michalski
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17

Machine Learning written by R.S. Michalski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Computers categories.


The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current research projects in the field. . This book contains tutorial overviews and research papers representative of contemporary trends in the area of machine learning as viewed from an artificial intelligence perspective. As the first available text on this subject, it is intended to fulfill several needs.



Non Axiomatic Logic A Model Of Intelligent Reasoning


Non Axiomatic Logic A Model Of Intelligent Reasoning
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Author : Pei Wang
language : en
Publisher: World Scientific
Release Date : 2013-05-03

Non Axiomatic Logic A Model Of Intelligent Reasoning written by Pei Wang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-03 with Computers categories.


This book provides a systematic and comprehensive description of Non-Axiomatic Logic, which is the result of the author's research for about three decades.Non-Axiomatic Logic is designed to provide a uniform logical foundation for Artificial Intelligence, as well as an abstract description of the “laws of thought” followed by the human mind. Different from “mathematical” logic, where the focus is the regularity required when demonstrating mathematical conclusions, Non-Axiomatic Logic is an attempt to return to the original aim of logic, that is, to formulate the regularity in actual human thinking. To achieve this goal, the logic is designed under the assumption that the system has insufficient knowledge and resources with respect to the problems to be solved, so that the “logical conclusions” are only valid with respect to the available knowledge and resources. Reasoning processes according to this logic covers cognitive functions like learning, planning, decision making, problem solving, etc.This book is written for researchers and students in Artificial Intelligence and Cognitive Science, and can be used as a textbook for courses at graduate level, or upper-level undergraduate, on Non-Axiomatic Logic.



The Oxford Handbook Of The Development Of Imagination


The Oxford Handbook Of The Development Of Imagination
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Author : Marjorie Taylor
language : en
Publisher: Oxford University Press
Release Date : 2013-04-02

The Oxford Handbook Of The Development Of Imagination written by Marjorie Taylor and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-02 with Psychology categories.


Children are widely celebrated for their imaginations, but developmental research on this topic has often been fragmented or narrowly focused on fantasy. However, there is growing appreciation for the role that imagination plays in cognitive and emotional development, as well as its link with children's understanding of the real world. With their imaginations, children mentally transcend time, place, and/or circumstance to think about what might have been, plan and anticipate the future, create fictional relationships and worlds, and consider alternatives to the actual experiences of their lives. The Oxford Handbook of the Development of Imagination provides a comprehensive overview of this broad new perspective by bringing together leading researchers whose findings are moving the study of imagination from the margins of mainstream psychology to a central role in current efforts to understand human thought. The topics covered include fantasy-reality distinctions, pretend play, magical thinking, narrative, anthropomorphism, counterfactual reasoning, mental time travel, creativity, paracosms, imaginary companions, imagination in non-human animals, the evolution of imagination, autism, dissociation, and the capacity to derive real life resilience from imaginative experiences. Many of the chapters include discussions of the educational, clinical, and legal implications of the research findings and special attention is given to suggestions for future research.



Fundamentals Of Artificial Intelligence


Fundamentals Of Artificial Intelligence
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Author : K.R. Chowdhary
language : en
Publisher: Springer Nature
Release Date : 2020-04-04

Fundamentals Of Artificial Intelligence written by K.R. Chowdhary and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-04 with Computers categories.


Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.



Psychoanalysis And Neuroscience


Psychoanalysis And Neuroscience
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Author : Mauro Mancia
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-29

Psychoanalysis And Neuroscience written by Mauro Mancia and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-29 with Medical categories.


Recent scientific studies have brought significant advances in the understanding of basic mental functions such as memory, dreams, identification, repression, which constitute the basis of the psychoanalytical theory. This book focuses on the possibility of interactions between psychoanalysis and neuroscience: emotions and the right hemisphere, serotonin and depression. It is a unique tool for professionals and students in these fields, and for operators of allied disciplines, such as psychology and psychotherapy.



Philosophy Of Psychology


Philosophy Of Psychology
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Author : Mario Bunge
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Philosophy Of Psychology written by Mario Bunge and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Psychology categories.


This book is about some topical philosophical and methodological prob lems that arise in the study of behavior and mind, as well as in the treatment of behavioral and mental disorders. It deals with such questions as 'What is behavior a manifestation of?', 'What is mind, and how is it related to matter?', 'Which are the positive legacies, if any, of the major psychological schools?', 'How can behavior and mind best be studied?', and 'Which are the most effective ways of modifying behavioral and mental processes?' These questions and their kin cannot be avoided in the long run because they fuel the daily search for better hypotheses, experimental designs, techniques, and treatments. They also occur in the critical examination of data and theories, as well as methods for the treatment of behavioral and mental disorders. All students of human or animal, normal or abnormal behavior and mind, whether their main concern is basic or applied, theoretical or em pirical, admit more or less tacitly to a large number of general philosophi cal and methodological principles.