Cognición encarnada
This course is part of Introducción a la inteligencia artificial.
This theoretical course explores cognitive science and its relationship to artificial intelligence as part of the Introduction to Artificial Intelligence specialization. Cognitive science studies knowledge across multiple disciplines including psychology, neurophysiology, linguistics, philosophy, and artificial intelligence. The course demonstrates how cognitive sciences can help build more sophisticated intelligent systems, while AI advances benefit other cognitive sciences. Students will learn the history and key concepts of cognitive sciences, reflect on the importance of the body, environment, culture, technology, and dynamic processes in studying the mind, and examine open problems in artificial cognition and consciousness, as well as social aspects of cognition. The goal is to develop discourse about cognition in humans, animals, other living beings, and machines.
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What you'll learn
Know the history and main concepts used in cognitive sciences Understand the embodied nature of cognition and its implications for AI Explore the relationship between mind, body, and environment in cognitive processes Analyze how cognition extends beyond the brain to include the body and environment Examine artificial cognition and its current limitations and possibilities Investigate social aspects of cognition and their influence on individual cognition Reflect on open problems in artificial consciousness research Develop informed perspectives on cognition in humans, animals, and machines
Skills you'll gain
This course includes:
0.7 Hours PreRecorded video
3 assignments, 1 peer review
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FullTime access
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There are 3 modules in this course
This comprehensive course explores cognitive sciences and their relationship to artificial intelligence across three modules. The first module covers the history of cognitive sciences, introducing key concepts in cognition studies and establishing fundamental principles like the synthetic method and the embodiment of mind. The second module delves deeper into the relationship between mind, body, and environment, explaining concepts of embodied mind, embedded mind, extended mind, and enactive mind and their relevance to cognitive sciences. The final module examines artificial cognition, social influences on cognition, and the scientific study of consciousness, addressing emerging questions about artificial consciousness and implications for AI development. Throughout all modules, students engage with both theoretical concepts and practical applications.
Ciencias cognitivas
Module 1 · 5 Hours to complete
Mente, cuerpo y entorno
Module 2 · 5 Hours to complete
Cognición y conciencia artificial
Module 3 · 17 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Introducción a la inteligencia artificial
Instructor
Complex Systems Expert and Self-Organization Specialist
Dr. Carlos Gershenson serves as a SUNY Empire Innovation Professor at Binghamton University and President of the Complex Systems Society (2024-2027). Previously, he was a research professor at UNAM's Institute for Applied Mathematics and Systems Research (IIMAS), where he led the Self-Organizing Systems Laboratory. His academic credentials include a Ph.D. in Sciences (summa cum laude) from the Free University of Brussels, focusing on self-organizing systems, a Master's in Evolutionary and Adaptive Systems from the University of Sussex, and a Computer Engineering degree from the Arturo Rosenblueth Foundation
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4.6 course rating
41 ratings
Frequently asked questions
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