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Memory And The Computational Brain

Author: C. R. Gallistel
Publisher: John Wiley & Sons
ISBN: 1444359762
Size: 12.65 MB
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Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades. A provocative argument that impacts across the fields of linguistics, cognitive science, and neuroscience, suggesting new perspectives on learning mechanisms in the brain Proposes that the field of neuroscience can and should benefit from the recent advances of cognitive science and the development of information theory Suggests that the architecture of the brain is structured precisely for learning and for memory, and integrates the concept of an addressable read/write memory mechanism into the foundations of neuroscience Based on lectures in the prestigious Blackwell-Maryland Lectures in Language and Cognition, and now significantly reworked and expanded to make it ideal for students and faculty

Memory And The Computational Brain

Author: C. R. Gallistel
Publisher: Wiley-Blackwell
ISBN: 1444310488
Size: 48.85 MB
Format: PDF
View: 5553
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Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades. A provocative argument that impacts across the fields of linguistics, cognitive science, and neuroscience, suggesting new perspectives on learning mechanisms in the brain Proposes that the field of neuroscience can and should benefit from the recent advances of cognitive science and the development of information theory Suggests that the architecture of the brain is structured precisely for learning and for memory, and integrates the concept of an addressable read/write memory mechanism into the foundations of neuroscience Based on lectures in the prestigious Blackwell-Maryland Lectures in Language and Cognition, and now significantly reworked and expanded to make it ideal for students and faculty

The Cambridge Handbook Of Formal Semantics

Author: Maria Aloni
Publisher: Cambridge University Press
ISBN: 131655273X
Size: 53.24 MB
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Formal semantics - the scientific study of meaning in natural language - is one of the most fundamental and long-established areas of linguistics. This Handbook offers a comprehensive, yet compact guide to the field, bringing together research from a wide range of world-leading experts. Chapters include coverage of the historical context and foundation of contemporary formal semantics, a survey of the variety of formal/logical approaches to linguistic meaning and an overview of the major areas of research within current semantic theory, broadly conceived. The Handbook also explores the interfaces between semantics and neighbouring disciplines, including research in cognition and computation. This work will be essential reading for students and researchers working in linguistics, philosophy, psychology and computer science.

Introducing Language And Cognition

Author: Mike Sharwood Smith
Publisher: Cambridge University Press
ISBN: 1107152895
Size: 59.43 MB
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In this accessible introduction, Mike Sharwood Smith provides a working model or 'map' of the mind, with language as its centrepiece. Drawing on cutting-edge research across linguistics, psychology and neuroscience, it allows students to quickly grasp how each separate aspect of the mind's operations can be related. This 'big picture' view includes the way the mind makes, stores and loses memories of all kinds as well how its various 'expert systems' combine and collaborate to solve, typically beyond our conscious awareness, the myriad of tasks we are faced with every minute and millisecond of our existence. The book also focuses on language, that is, the mind of monolingual, bilingual and multilingual speakers. It will be of interest to all students wishing to learn more about the complex relationship between language - one of the most important ways in which we define ourselves as human - and the mind.

The Cognitive Neurosciences

Author: Michael S. Gazzaniga
Publisher: MIT Press
ISBN: 0262027771
Size: 58.15 MB
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Each edition of this classic reference has proved to be a benchmark in the developing field of cognitive neuroscience. The fifth edition of The Cognitive Neurosciences continues to chart new directions in the study of the biological underpinnings of complex cognitio -- the relationship between the structural and physiological mechanisms of the nervous system and the psychological reality of the mind. It offers entirely new material, reflecting recent advances in the field. Many of the developments in cognitive neuroscience have been shaped by the introduction of novel tools and methodologies, and a new section is devoted to methods that promise to guide the field into the future -- from sophisticated models of causality in brain function to the application of network theory to massive data sets. Another new section treats neuroscience and society, considering some of the moral and political quandaries posed by current neuroscientific methods. Other sections describe, among other things, new research that draws on developmental imaging to study the changing structure and function of the brain over the lifespan; progress in establishing increasingly precise models of memory; research that confirms the study of emotion and social cognition as a core area in cognitive neuroscience; and new findings that cast doubt on the so-called neural correlates of consciousness.

Components Of The Language Ready Brain

Author: Cedric Boeckx
Publisher: Frontiers Media SA
ISBN: 2889198936
Size: 59.24 MB
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This volume highlights new avenues of research in the language sciences, and particularly, in the neurobiology of language. The term “language-ready brain” stresses, on the one hand, the importance of a brain-based description of our species’ linguistic capacity, and, on the other, the need to appreciate the crucial role culture plays in shaping the linguistic systems children acquire and adults use. For this reason, the focus is not put on language per se, but on our learning biases and cognitive pre-dispositions toward language. Both brain and culture are considered at two crucial levels of inquiry: phylogeny and ontogeny. In a fast-growing field like the language sciences and specifically, language evolution studies, this book has tried to capture several of the most exciting topics explored currently, sowing seeds for future investigations.

Computational Models Of Referring

Author: Kees van Deemter
Publisher: MIT Press
ISBN: 0262034557
Size: 70.34 MB
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An argument that computational models can shed light on referring, a fundamental and much-studied aspect of communication.

The Algebraic Mind

Author: Gary F. Marcus
Publisher: MIT Press
ISBN: 9780262632683
Size: 38.76 MB
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The Algebraic Mind revamps our understanding of models in cognitive neuroscience and helps to set a new agenda for the field."--Jacket.

The Semantic Sphere 1

Author: Pierre Lévy
Publisher: John Wiley & Sons
ISBN: 1118601513
Size: 59.66 MB
Format: PDF
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The new digital media offers us an unprecedented memory capacity, an ubiquitous communication channel and a growing computing power. How can we exploit this medium to augment our personal and social cognitive processes at the service of human development? Combining a deep knowledge of humanities and social sciences as well as a real familiarity with computer science issues, this book explains the collaborative construction of a global hypercortex coordinated by a computable metalanguage. By recognizing fully the symbolic and social nature of human cognition, we could transform our current opaque global brain into a reflexive collective intelligence.

Principles Of Synthetic Intelligence

Author: Joscha Bach
Publisher: Oxford University Press
ISBN: 9780199708109
Size: 13.32 MB
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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.