About this ebook
What Is Embodied Cognition
Embodied cognition is a hypothesis that many facets of cognition, whether human or another, are molded by aspects of an organism's entire body. This theory can be applied to both humans and other organisms. Many researchers believe that the sensory and motor systems are fundamentally intertwined with cognitive processing. High-level mental constructs and performance across a variety of cognitive activities are both included in the cognitive characteristics. The motor system, the perceptual system, the physical interactions with the environment (situatedness), and the assumptions about the world that are built into the functional structure of the organism are all considered to be part of the corporeal aspects.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Embodied cognition
Chapter 2: Cognitive science
Chapter 3: Cognition
Chapter 4: Situated cognition
Chapter 5: Embodied cognitive science
Chapter 6: Enactivism
Chapter 7: Motor cognition
Chapter 8: Common coding theory
Chapter 9: Embodied bilingual language
Chapter 10: Social cognitive neuroscience
(II) Answering the public top questions about embodied cognition.
(III) Real world examples for the usage of embodied cognition in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of embodied cognition' 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 embodied cognition.
Other titles in Embodied Cognition Series (30)
Kernel Methods: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsRestricted Boltzmann Machine: Fundamentals and Applications for Unlocking the Hidden Layers of Artificial Intelligence Rating: 0 out of 5 stars0 ratingsHopfield Networks: Fundamentals and Applications of The Neural Network That Stores Memories Rating: 0 out of 5 stars0 ratingsGroup Method of Data Handling: Fundamentals and Applications for Predictive Modeling and Data Analysis Rating: 0 out of 5 stars0 ratingsMultilayer Perceptron: Fundamentals and Applications for Decoding Neural Networks Rating: 0 out of 5 stars0 ratingsPerceptrons: Fundamentals and Applications for The Neural Building Block Rating: 0 out of 5 stars0 ratingsArtificial Neural Networks: Fundamentals and Applications for Decoding the Mysteries of Neural Computation Rating: 0 out of 5 stars0 ratingsRadial Basis Networks: Fundamentals and Applications for The Activation Functions of Artificial Neural Networks Rating: 0 out of 5 stars0 ratingsK Nearest Neighbor Algorithm: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsDistributed Artificial Intelligence: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsRecurrent Neural Networks: Fundamentals and Applications from Simple to Gated Architectures Rating: 0 out of 5 stars0 ratingsMonitoring and Surveillance Agents: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsFeedforward Neural Networks: Fundamentals and Applications for The Architecture of Thinking Machines and Neural Webs Rating: 0 out of 5 stars0 ratingsAlternating Decision Tree: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsHebbian Learning: Fundamentals and Applications for Uniting Memory and Learning Rating: 0 out of 5 stars0 ratingsNouvelle Artificial Intelligence: Fundamentals and Applications for Producing Robots With Intelligence Levels Similar to Insects Rating: 0 out of 5 stars0 ratingsCompetitive Learning: Fundamentals and Applications for Reinforcement Learning through Competition Rating: 0 out of 5 stars0 ratingsNaive Bayes Classifier: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsAttractor Networks: Fundamentals and Applications in Computational Neuroscience Rating: 0 out of 5 stars0 ratingsBackpropagation: Fundamentals and Applications for Preparing Data for Training in Deep Learning Rating: 0 out of 5 stars0 ratingsLong Short Term Memory: Fundamentals and Applications for Sequence Prediction Rating: 0 out of 5 stars0 ratingsEmbodied Cognitive Science: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsHybrid Neural Networks: Fundamentals and Applications for Interacting Biological Neural Networks with Artificial Neuronal Models Rating: 0 out of 5 stars0 ratingsPropositional Logic: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsNeuroevolution: Fundamentals and Applications for Surpassing Human Intelligence with Neuroevolution Rating: 0 out of 5 stars0 ratingsConvolutional Neural Networks: Fundamentals and Applications for Analyzing Visual Imagery Rating: 0 out of 5 stars0 ratingsSubsumption Architecture: Fundamentals and Applications for Behavior Based Robotics and Reactive Control Rating: 0 out of 5 stars0 ratingsArtificial Immune Systems: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsLearning Intelligent Distribution Agent: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsSupport Vector Machine: Fundamentals and Applications Rating: 0 out of 5 stars0 ratings
Read more from Fouad Sabry
Related to Embodied Cognition
Titles in the series (100)
Kernel Methods: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsRestricted Boltzmann Machine: Fundamentals and Applications for Unlocking the Hidden Layers of Artificial Intelligence Rating: 0 out of 5 stars0 ratingsHopfield Networks: Fundamentals and Applications of The Neural Network That Stores Memories Rating: 0 out of 5 stars0 ratingsGroup Method of Data Handling: Fundamentals and Applications for Predictive Modeling and Data Analysis Rating: 0 out of 5 stars0 ratingsMultilayer Perceptron: Fundamentals and Applications for Decoding Neural Networks Rating: 0 out of 5 stars0 ratingsPerceptrons: Fundamentals and Applications for The Neural Building Block Rating: 0 out of 5 stars0 ratingsArtificial Neural Networks: Fundamentals and Applications for Decoding the Mysteries of Neural Computation Rating: 0 out of 5 stars0 ratingsRadial Basis Networks: Fundamentals and Applications for The Activation Functions of Artificial Neural Networks Rating: 0 out of 5 stars0 ratingsK Nearest Neighbor Algorithm: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsDistributed Artificial Intelligence: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsRecurrent Neural Networks: Fundamentals and Applications from Simple to Gated Architectures Rating: 0 out of 5 stars0 ratingsMonitoring and Surveillance Agents: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsFeedforward Neural Networks: Fundamentals and Applications for The Architecture of Thinking Machines and Neural Webs Rating: 0 out of 5 stars0 ratingsAlternating Decision Tree: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsHebbian Learning: Fundamentals and Applications for Uniting Memory and Learning Rating: 0 out of 5 stars0 ratingsNouvelle Artificial Intelligence: Fundamentals and Applications for Producing Robots With Intelligence Levels Similar to Insects Rating: 0 out of 5 stars0 ratingsCompetitive Learning: Fundamentals and Applications for Reinforcement Learning through Competition Rating: 0 out of 5 stars0 ratingsNaive Bayes Classifier: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsAttractor Networks: Fundamentals and Applications in Computational Neuroscience Rating: 0 out of 5 stars0 ratingsBackpropagation: Fundamentals and Applications for Preparing Data for Training in Deep Learning Rating: 0 out of 5 stars0 ratingsLong Short Term Memory: Fundamentals and Applications for Sequence Prediction Rating: 0 out of 5 stars0 ratingsEmbodied Cognitive Science: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsHybrid Neural Networks: Fundamentals and Applications for Interacting Biological Neural Networks with Artificial Neuronal Models Rating: 0 out of 5 stars0 ratingsPropositional Logic: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsNeuroevolution: Fundamentals and Applications for Surpassing Human Intelligence with Neuroevolution Rating: 0 out of 5 stars0 ratingsConvolutional Neural Networks: Fundamentals and Applications for Analyzing Visual Imagery Rating: 0 out of 5 stars0 ratingsSubsumption Architecture: Fundamentals and Applications for Behavior Based Robotics and Reactive Control Rating: 0 out of 5 stars0 ratingsArtificial Immune Systems: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsLearning Intelligent Distribution Agent: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsSupport Vector Machine: Fundamentals and Applications Rating: 0 out of 5 stars0 ratings
Related ebooks
Visual Perception: Insights into Computational Visual Processing Rating: 0 out of 5 stars0 ratingsScript Theory: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsHybrid Intelligent System: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsPhilosophy of Intelligent Design Rating: 0 out of 5 stars0 ratingsA Map of the Human Brain Rating: 0 out of 5 stars0 ratingsDigital Revolution: The History of the Internet Rating: 0 out of 5 stars0 ratingsStories from My Brain Tumors Rating: 0 out of 5 stars0 ratingsRed Brain Blue Brain: Living, loving and leading without fear Rating: 0 out of 5 stars0 ratingsEmbodied Cognitive Science: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsArtificial Intelligence Humor: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsRobotics And Virtuality: How The Future Will Be Transformed By Robotics And Virtual Reality Rating: 0 out of 5 stars0 ratingsThe Rise of E-Sports - How Gaming is Becoming a Global Phenomenon Rating: 0 out of 5 stars0 ratingsSocial Psychology: Unveiling the Secrets of Social Psychology, Navigating the Human Mind in Society Rating: 0 out of 5 stars0 ratingsKnowing Subjects: Cognitive Cultural Studies and Early Modern Spanish Rating: 0 out of 5 stars0 ratingsHow To Write Like an English Teacher: By the Crazy English Teacher Rating: 0 out of 5 stars0 ratingsHow Our Brain Became Human: Genes, Environment, Microbiome, Social Life and Their Interactions Rating: 0 out of 5 stars0 ratingsEvolution: the future Rating: 0 out of 5 stars0 ratingsThe Intellectual Property Pyramid Assessment:: A Novel Method for Creating a Sustainable Competitive Advantage Rating: 0 out of 5 stars0 ratingsWRONG PLACE WRONG TIME Rating: 0 out of 5 stars0 ratingsThe Behavior of Crowds A Psychological Study Rating: 0 out of 5 stars0 ratingsBrainsights: Use neuroscience to live, love and lead a better life. B/W Economy ed. Rating: 0 out of 5 stars0 ratingsBrainstorming: Views and Interviews on the Mind Rating: 0 out of 5 stars0 ratingsBrain Transplant Rating: 0 out of 5 stars0 ratingsDebunk It! Fake News Edition: How to Stay Sane in a World of Misinformation Rating: 3 out of 5 stars3/5Decision Making Mastery Rating: 0 out of 5 stars0 ratingsBrain Reading: How National Security Could Gain Access to Our Brains Rating: 0 out of 5 stars0 ratingsThe Fragility of Evolution: A Novel View Rating: 0 out of 5 stars0 ratingsThe History of the Internet - From ARPANET to Web 3.0 Rating: 0 out of 5 stars0 ratingsEnvironmental Finance: A Blueprint for a Sustainable Future Rating: 0 out of 5 stars0 ratingsThe Artificial Intelligence Revolution : ChatGPT and the Singularity Race Rating: 0 out of 5 stars0 ratings
Intelligence (AI) & Semantics For You
Midjourney Mastery - The Ultimate Handbook of Prompts Rating: 5 out of 5 stars5/5Mastering ChatGPT: 21 Prompts Templates for Effortless Writing Rating: 4 out of 5 stars4/5The Secrets of ChatGPT Prompt Engineering for Non-Developers Rating: 5 out of 5 stars5/5Artificial Intelligence: A Guide for Thinking Humans Rating: 4 out of 5 stars4/5Writing AI Prompts For Dummies Rating: 0 out of 5 stars0 ratingsChatGPT Millionaire: Work From Home and Make Money Online, Tons of Business Models to Choose from Rating: 5 out of 5 stars5/53550+ Most Effective ChatGPT Prompts Rating: 0 out of 5 stars0 ratingsThe Roadmap to AI Mastery: A Guide to Building and Scaling Projects Rating: 3 out of 5 stars3/5100M Offers Made Easy: Create Your Own Irresistible Offers by Turning ChatGPT into Alex Hormozi Rating: 5 out of 5 stars5/5Generative AI For Dummies Rating: 2 out of 5 stars2/5Creating Online Courses with ChatGPT | A Step-by-Step Guide with Prompt Templates Rating: 4 out of 5 stars4/5Coding with AI For Dummies Rating: 1 out of 5 stars1/5The ChatGPT Revolution: How to Simplify Your Work and Life Admin with AI Rating: 0 out of 5 stars0 ratingsTHE CHATGPT MILLIONAIRE'S HANDBOOK: UNLOCKING WEALTH THROUGH AI AUTOMATION Rating: 5 out of 5 stars5/5Artificial Intelligence For Dummies Rating: 3 out of 5 stars3/5AI Money Machine: Unlock the Secrets to Making Money Online with AI Rating: 5 out of 5 stars5/5Chat-GPT Income Ideas: Pioneering Monetization Concepts Utilizing Conversational AI for Profitable Ventures Rating: 4 out of 5 stars4/5Demystifying Prompt Engineering: AI Prompts at Your Fingertips (A Step-By-Step Guide) Rating: 4 out of 5 stars4/5Thinking in Algorithms: Strategic Thinking Skills, #2 Rating: 4 out of 5 stars4/580 Ways to Use ChatGPT in the Classroom Rating: 5 out of 5 stars5/5AI for Educators: AI for Educators Rating: 3 out of 5 stars3/5A Quickstart Guide To Becoming A ChatGPT Millionaire: The ChatGPT Book For Beginners (Lazy Money Series®) Rating: 4 out of 5 stars4/5
Reviews for Embodied Cognition
0 ratings0 reviews
Book preview
Embodied Cognition - Fouad Sabry
Chapter 1: Embodied cognition
The idea of embodied cognition holds that many components of cognition, whether it be human or not, are influenced by the entirety of an organism's body. Cognitive processing is thought to be fundamentally connected with sensory and motor systems. High-level mental constructs (such concepts and categories) and performance on various cognitive tasks are examples of cognitive qualities (such as reasoning or judgment). The motor system, the perceptual system, the physical interactions with the environment (situatedness), and the worldviews ingrained in the functional structure of the body all fall under the category of corporeal aspects.
Other theories, like cognitivism, computationalism, and Cartesian dualism, are contested by the embodied mind hypothesis. It has a close connection to situated cognition, enactivism, and the expanded mind hypothesis. The contemporary version is based on findings from recent studies in psychology, linguistics, cognitive science, dynamical systems, artificial intelligence, robotics, plant cognition, and neuroscience.
The active and significant role that the body plays in forming cognition and in understanding an agent's mind and cognitive abilities is stressed by proponents of the embodied cognition thesis. According to the philosophical theory of embodied cognition, an agent's cognition is significantly influenced by physical features outside of the brain itself rather than being the result of simple (innate) abstract representations of the universe.
The term embodied
refers to two ideas that we want to emphasize: first, that cognition depends on the kinds of experiences that result from having a body with different sensorimotor capacities, and second, that these specific sensorimotor capacities are themselves embedded in a broader biological, psychological, and cultural context.
— The Embodied Mind: Cognitive Science and Human Experience by Francisco J.
Varela, Evan Thompson, and Eleanor Rosch, pages 172–173.
This dual interpretation of the embodiment thesis highlights the wide range of cognitive processes that are being studied by academics from a variety of disciplines, including philosophy, cognitive science, artificial intelligence, psychology, and neuroscience. The emphasis placed on the body, experience, culture, context, and cognitive mechanisms of an agent in the world has the unintended result of frequently causing different viewpoints and methods to embodied cognition to overlap. For instance, the theses of extended cognition and situated cognition frequently overlap and are not always clearly distinguished. Additionally, embodied cognition is better viewed as a study program rather than a well-defined cohesive theory
because varied levels of support exist for each of the parts of the embodiment thesis.
However, it would be incorrect to assume that cognition merely entails creating maximally accurate representations of the information received. Instead, knowledge is acquired as a means of attaining the more immediate objective of directing behavior in response to the system's changing environment.
— Marcin Miłkowski, Explaining the Computational Mind, p.
4.
A more focused interpretation of the embodiment thesis provides a different way to comprehend embodied cognition. The subsequent, more constrained understanding of embodiment prevents any compromises to sources other than the body and enables the distinction between situated cognition, extended cognition, and embodied cognition. Thus, the following is a specification of the embodiment thesis::
Many cognitive processes are embodied, meaning they heavily depend on an agent's physical traits. As a result, the processing of cognitive information by the agent's beyond-the-brain body plays a large causal or physically constitutive role.
— RA Wilson and L Foglia, Embodied Cognition in the Stanford Encyclopedia of Philosophy.
This thesis emphasizes the fundamental notion that an agent's body significantly influences various aspects of cognition, including perception, attention, memory, and reasoning, among others. These cognitive traits also rely on the type of body an agent has. In order to distinguish between embodied cognition, extended cognition, and situated cognition, several elements of the more comprehensive biological, psychological, and cultural environment
mentioned in the enactive definition are not explicitly addressed in the thesis.
The expanded mind thesis, in contrast to the embodiment thesis, expands cognitive processing outside of the brain and body and into the world of the agent. This viewpoint assumed that cognizing was a function of a solitary brain. Contrarily, acknowledging the part the body plays in cognitive functions enables us to account for a broader understanding of cognition. According to this shift in neuroscience thinking, an agent's ability to successfully behave in real-world situations necessitates the integration of a number of sensorimotor, cognitive, and affective skills. As a result, rather than being just a function of the brain, cognition is a relationship between an agent and the affordances offered by the environment.
A group of uplifting descriptions highlighting the implications of the embodiment theory on cognition were presented in 2002. According to Margaret Wilson, the overall perspective of embodied cognition contains a variety of statements and an interesting co-variation of several observations: The following characteristics of cognition are true: (1) cognition is located; (2) cognition is time-constrained; (3) we off-load cognitive labor to the environment; (4) the environment is a component of the cognitive system; (5) cognition is for action; and (6) offline cognition is bodily-based
. Wilson also lists five major (abstract) categories that incorporate both sensory and motor abilities (or sensorimotor functions). Working memory, episodic memory, and implicit memory are the first three; mental imagery is the fourth; and reasoning and problem-solving are the final two.
The embodied cognition theory, Along with the many components it includes, can be regarded as the imminent result of an intellectual skepticism towards the flourishment of the disembodied theory of mind put forth by René Descartes in the 17th century.
In line with Cartesian dualism,, The mind is completely separate from the body and may be understood and explained without using the body or its activities.
The philosophical and psychological foundations of embodied cognition can be traced back to these two disciplines, more specifically, phenomenological school of thought, psychology, and 20th-century connectionism.
What would subsequently be known as the embodiment thesis was inspired by philosophers like Maurice Merleau-Ponty (1908–1962), Martin Heidegger (1889–1966), and Edmund Husserl (1850–1938). By highlighting the fact that some features of human experiences (awareness, cognition, etc.) cannot be only explained by a model of the mind as computation of inner symbols, they fought against the mechanical and disembodied approach to the explanation of the mind. If, as in Cartesian dualism, such qualities are not deeply entrenched in the physical nuts-and-bolts of the interacting agent,
they remain unexplained from a phenomenological perspective. Enactivism, which draws inspiration from disciplines like biology, psychoanalysis, Buddhism, and phenomenology, revives the significance of taking into account the biodynamics of the living organism to comprehend cognition. This enactive perspective contends that organisms acquire information or grow their cognitive abilities through a perception-action connection with a mutually determined environment.
This fundamental notion of (qualitative) experience as the outcome of a person's active perception-action interactions with its surroundings may also be found in writings by John Dewey and other American contextualists or pragmatists, such as Art As Experience. According to Dewey, experiences have an impact on people's personal lives because they result from constant and reciprocal contacts between a biological and organic self (a body in incarnation) and the outside world. The basis for further development should be these lived (corporeal) experiences. One such instance