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Embodied embedded cognition (EEC) is a philosophical theoretical position in cognitive science, closely related to situated cognition, embodied cognition, embodied cognitive science and dynamical systems theory. The theory states that intelligent behaviour emerges from the interplay between brain, body and world. [1]
Embodied cognition is the concept suggesting that many features of cognition are shaped by the state and capacities of the organism. The cognitive features include a wide spectrum of cognitive functions, such as perception biases, memory recall, comprehension and high-level mental constructs (such as meaning attribution and categories) and performance on various cognitive tasks (reasoning or ...
Embodied involves more than the brain, including a more general involvement of bodily structures and processes. Embedded functioning only in a related external environment. Enacted involving not only neural processes but also things an organism does. Extended into the organism's environment.
Embodied cognitive science is an interdisciplinary field of research, the aim of which is to explain the mechanisms underlying intelligent behavior. It comprises three main methodologies: the modeling of psychological and biological systems in a holistic manner that considers the mind and body as a single entity; the formation of a common set of general principles of intelligent behavior; and ...
This approach integrates Externalism (a group of positions in the philosophy of mind: embodied cognition, embodied embedded cognition, enactivism, extended mind, and situated cognition) with the Empiricist ideas about the beginning of cognition only from learning in the environment.
Cognitive robotics may be considered the engineering branch of embodied cognitive science and embodied embedded cognition, consisting of Robotic Process Automation, Artificial Intelligence, Machine Learning, Deep Learning, Optical Character Recognition, Image Processing, Process Mining, Analytics, Software Development and System Integration.
As a direct relation to embodied cognition, and more specifically embodied construction grammar, formal approaches to image schemas often limit the research area by looking at image schemas exclusively as spatiotemporal relationships. This provides a feasible foundation for knowledge representation to represent each individual image schema as ...
If a word meaning is grounded in the visual shapes of the objects, the word form circuit is active together with neural activity in the ventral-temporal visual stream related to processing of visual object information. Correlation learning links the word and object circuits, resulting in an embodied object-semantic relationship. To study the ...