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In this expanded second edition of Cognitive Architecture, the authors review new findings in psychology and neuroscience to help architects and planners better understand their clients as the sophisticated mammals they are, arriving in the world with built-in responses to the environment. Discussing key biometric tools to help designers ‘see’ subliminal human behaviors and suggesting new ways to analyze designs before they are built, this new edition brings readers up-to-date on scientific tools relevant for assessing architecture and the human experience of the built environment. The new edition includes: Over 100 full color photographs and drawings to illustrate key concepts. A new chapter on using biometrics to understand the human experience of place. A conclusion describing how the book’s propositions reframe the history of modern architecture. A compelling read for students, professionals, and the general public, Cognitive Architecture takes an inside-out approach to design, arguing that the more we understand human behavior, the better we can design and plan for it.
Book Synopsis Cognitive Architecture by : Ann Sussman
Download or read book Cognitive Architecture written by Ann Sussman and published by Routledge. This book was released on 2021-07-12 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this expanded second edition of Cognitive Architecture, the authors review new findings in psychology and neuroscience to help architects and planners better understand their clients as the sophisticated mammals they are, arriving in the world with built-in responses to the environment. Discussing key biometric tools to help designers ‘see’ subliminal human behaviors and suggesting new ways to analyze designs before they are built, this new edition brings readers up-to-date on scientific tools relevant for assessing architecture and the human experience of the built environment. The new edition includes: Over 100 full color photographs and drawings to illustrate key concepts. A new chapter on using biometrics to understand the human experience of place. A conclusion describing how the book’s propositions reframe the history of modern architecture. A compelling read for students, professionals, and the general public, Cognitive Architecture takes an inside-out approach to design, arguing that the more we understand human behavior, the better we can design and plan for it.
The definitive presentation of Soar, one AI's most enduring architectures, offering comprehensive descriptions of fundamental aspects and new components. In development for thirty years, Soar is a general cognitive architecture that integrates knowledge-intensive reasoning, reactive execution, hierarchical reasoning, planning, and learning from experience, with the goal of creating a general computational system that has the same cognitive abilities as humans. In contrast, most AI systems are designed to solve only one type of problem, such as playing chess, searching the Internet, or scheduling aircraft departures. Soar is both a software system for agent development and a theory of what computational structures are necessary to support human-level agents. Over the years, both software system and theory have evolved. This book offers the definitive presentation of Soar from theoretical and practical perspectives, providing comprehensive descriptions of fundamental aspects and new components. The current version of Soar features major extensions, adding reinforcement learning, semantic memory, episodic memory, mental imagery, and an appraisal-based model of emotion. This book describes details of Soar's component memories and processes and offers demonstrations of individual components, components working in combination, and real-world applications. Beyond these functional considerations, the book also proposes requirements for general cognitive architectures and explicitly evaluates how well Soar meets those requirements.
Book Synopsis The Soar Cognitive Architecture by : John E. Laird
Download or read book The Soar Cognitive Architecture written by John E. Laird and published by MIT Press. This book was released on 2019-08-20 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive presentation of Soar, one AI's most enduring architectures, offering comprehensive descriptions of fundamental aspects and new components. In development for thirty years, Soar is a general cognitive architecture that integrates knowledge-intensive reasoning, reactive execution, hierarchical reasoning, planning, and learning from experience, with the goal of creating a general computational system that has the same cognitive abilities as humans. In contrast, most AI systems are designed to solve only one type of problem, such as playing chess, searching the Internet, or scheduling aircraft departures. Soar is both a software system for agent development and a theory of what computational structures are necessary to support human-level agents. Over the years, both software system and theory have evolved. This book offers the definitive presentation of Soar from theoretical and practical perspectives, providing comprehensive descriptions of fundamental aspects and new components. The current version of Soar features major extensions, adding reinforcement learning, semantic memory, episodic memory, mental imagery, and an appraisal-based model of emotion. This book describes details of Soar's component memories and processes and offers demonstrations of individual components, components working in combination, and real-world applications. Beyond these functional considerations, the book also proposes requirements for general cognitive architectures and explicitly evaluates how well Soar meets those requirements.
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.
Book Synopsis How to Build a Brain by : Chris Eliasmith
Download or read book How to Build a Brain written by Chris Eliasmith and published by Oxford University Press. This book was released on 2013-04-16 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Heroes are often admired for their ability to act without having "one thought too many," as Bernard Williams put it. Likewise, the unhesitating decisions of masterful athletes and artists are part of their fascination. Examples like these make clear that spontaneity can represent an ideal. However, recent literature in empirical psychology has shown how vulnerable our spontaneous inclinations can be to bias, shortsightedness, and irrationality. How can we make sense of these different roles that spontaneity plays in our lives? The central contention of this book is that understanding these two faces of spontaneity-its virtues and its vices-requires understanding the "implicit mind." In turn, understanding the implicit mind requires considering three sets of questions. The first set focuses on the architecture of the implicit mind itself. What kinds of mental states make up the implicit mind? Are both "virtue" and "vice" cases of spontaneity products of one and the same mental system? What kind of cognitive structure do these states have, if so? The second set of questions focuses on the relationship between the implicit mind and the self. How should we relate to our spontaneous inclinations and dispositions? Are they "ours," in the sense that they reflect on our character or identity? Are we responsible for them? The third set focuses on the ethics of spontaneity. What can research on self-regulation teach us about how to improve the ethics of our implicit minds? How can we enjoy the virtues of spontaneity without succumbing to its vices? Bringing together several streams of philosophical and psychological research, The Implicit Mind is the first book to offer a philosophical account of implicit attitudes.
Book Synopsis The Implicit Mind by : Michael Brownstein
Download or read book The Implicit Mind written by Michael Brownstein and published by Oxford University Press. This book was released on 2018-04-02 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heroes are often admired for their ability to act without having "one thought too many," as Bernard Williams put it. Likewise, the unhesitating decisions of masterful athletes and artists are part of their fascination. Examples like these make clear that spontaneity can represent an ideal. However, recent literature in empirical psychology has shown how vulnerable our spontaneous inclinations can be to bias, shortsightedness, and irrationality. How can we make sense of these different roles that spontaneity plays in our lives? The central contention of this book is that understanding these two faces of spontaneity-its virtues and its vices-requires understanding the "implicit mind." In turn, understanding the implicit mind requires considering three sets of questions. The first set focuses on the architecture of the implicit mind itself. What kinds of mental states make up the implicit mind? Are both "virtue" and "vice" cases of spontaneity products of one and the same mental system? What kind of cognitive structure do these states have, if so? The second set of questions focuses on the relationship between the implicit mind and the self. How should we relate to our spontaneous inclinations and dispositions? Are they "ours," in the sense that they reflect on our character or identity? Are we responsible for them? The third set focuses on the ethics of spontaneity. What can research on self-regulation teach us about how to improve the ethics of our implicit minds? How can we enjoy the virtues of spontaneity without succumbing to its vices? Bringing together several streams of philosophical and psychological research, The Implicit Mind is the first book to offer a philosophical account of implicit attitudes.
An innovative proposal for understanding how mental organisms make decisions and control behavior.
Book Synopsis Anigrafs by : Whitman Richards
Download or read book Anigrafs written by Whitman Richards and published by MIT Press. This book was released on 2015-04-24 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: An innovative proposal for understanding how mental organisms make decisions and control behavior.
Cognitive architectures represent an umbrella term to describe ways in which the flow of thought can be engineered towards cerebral and behavioral outcomes. Cognitive Architectures are meant to provide top-down guidance, a knowledge base, interactive heuristics and concrete or fuzzy policies for which the virtual character can utilize for intelligent interaction with his/her/its situated virtual environment. Integrating Cognitive Architectures into Virtual Character Design presents emerging research on virtual character artificial intelligence systems and procedures and the integration of cognitive architectures. Emphasizing innovative methodologies for intelligent virtual character integration and design, this publication is an ideal reference source for graduate-level students, researchers, and professionals in the fields of artificial intelligence, gaming, and computer science.
Book Synopsis Integrating Cognitive Architectures into Virtual Character Design by : Turner, Jeremy Owen
Download or read book Integrating Cognitive Architectures into Virtual Character Design written by Turner, Jeremy Owen and published by IGI Global. This book was released on 2016-06-06 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive architectures represent an umbrella term to describe ways in which the flow of thought can be engineered towards cerebral and behavioral outcomes. Cognitive Architectures are meant to provide top-down guidance, a knowledge base, interactive heuristics and concrete or fuzzy policies for which the virtual character can utilize for intelligent interaction with his/her/its situated virtual environment. Integrating Cognitive Architectures into Virtual Character Design presents emerging research on virtual character artificial intelligence systems and procedures and the integration of cognitive architectures. Emphasizing innovative methodologies for intelligent virtual character integration and design, this publication is an ideal reference source for graduate-level students, researchers, and professionals in the fields of artificial intelligence, gaming, and computer science.
Download or read book Society Of Mind written by Marvin Minsky and published by Simon and Schuster. This book was released on 1988-03-15 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing Methodologies -- Artificial Intelligence.
The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.
Book Synopsis Biologically Inspired Cognitive Architectures 2019 by : Alexei V. Samsonovich
Download or read book Biologically Inspired Cognitive Architectures 2019 written by Alexei V. Samsonovich and published by Springer. This book was released on 2019-07-16 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.
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.
Book Synopsis Principles of Synthetic Intelligence by : Joscha Bach
Download or read book Principles of Synthetic Intelligence written by Joscha Bach and published by Oxford University Press. This book was released on 2009-04-06 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
What Is Cognitive Architecture The term "cognitive architecture" can refer to both a theory about the structure of the human mind as well as a computational implementation of such a theory that is utilized in the fields of artificial intelligence (AI) and computational cognitive science. The term "cognitive architecture" can also be used interchangeably with "psychological architecture." The formalized models can be utilized both for the purpose of further refining an all-encompassing theory of cognition as well as for the development of a practical artificial intelligence program. The ACT-R and SOAR cognitive architectures are examples of successful cognitive architectures. Allen Newell is credited as being the one who first started the research on cognitive architectures as a software implementation of cognitive theories in the year 1990. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Cognitive Architecture Chapter 2: Cognitive Science Chapter 3: Connectionism Chapter 4: ACT-R Chapter 5: Unified Theories of Cognition Chapter 6: Computational Cognition Chapter 7: Computational Theory of Mind Chapter 8: CLARION (cognitive architecture) Chapter 9: LIDA (cognitive architecture) Chapter 10: Differentiable Neural Computer (II) Answering the public top questions about cognitive architecture. (III) Real world examples for the usage of cognitive architecture in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of cognitive architecture' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of cognitive architecture.
Book Synopsis Cognitive Architecture by : Fouad Sabry
Download or read book Cognitive Architecture written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-23 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Cognitive Architecture The term "cognitive architecture" can refer to both a theory about the structure of the human mind as well as a computational implementation of such a theory that is utilized in the fields of artificial intelligence (AI) and computational cognitive science. The term "cognitive architecture" can also be used interchangeably with "psychological architecture." The formalized models can be utilized both for the purpose of further refining an all-encompassing theory of cognition as well as for the development of a practical artificial intelligence program. The ACT-R and SOAR cognitive architectures are examples of successful cognitive architectures. Allen Newell is credited as being the one who first started the research on cognitive architectures as a software implementation of cognitive theories in the year 1990. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Cognitive Architecture Chapter 2: Cognitive Science Chapter 3: Connectionism Chapter 4: ACT-R Chapter 5: Unified Theories of Cognition Chapter 6: Computational Cognition Chapter 7: Computational Theory of Mind Chapter 8: CLARION (cognitive architecture) Chapter 9: LIDA (cognitive architecture) Chapter 10: Differentiable Neural Computer (II) Answering the public top questions about cognitive architecture. (III) Real world examples for the usage of cognitive architecture in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of cognitive architecture' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of cognitive architecture.
