Cognitive Architecture: Fundamentals and Applications
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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.
