Cognición encarnada (Coursera)

Cognición encarnada (Coursera)

Esta materia de corte teórico forma parte del programa especializado introducción a la Inteligencia Artificial, aunque puede tomarse de manera independiente. Las ciencias cognitivas estudian el conocimiento, por lo que abarca a una diversidad de disciplinas, tales como la psicología, neurofisiología, lingüística, filosofía y también la inteligencia artificial.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Por una parte, las ciencias cognitivas pueden ayudarnos a construir sistemas que exhiban una inteligencia más sofisticada. Por otra, los avances y experimentos en inteligencia artificial pueden ser útiles al resto de las ciencias cognitivas.
En este curso cubrirá brevemente la historia y conceptos más relevantes de ciencias cognitivas, relacionándolos con temas revisados en el Programa Especializado.

What You Will Learn

  1. Conocer la historia y los conceptos principales usados en ciencias cognitivas.
  2. Reflexionar sobre la relevancia del cuerpo, el entorno, la cultura y tecnología y los procesos dinámicos en el estudio de la mente.
  3. Revisar problemas abiertos en cognición y conciencia artificial, al igual que aspectos sociales de la cognición.

Course 8 of 9 in the Introducción a la inteligencia artificial Specialization

Syllabus

WEEK 1
Ciencias cognitivas
En el módulo 1 se revisará la historia de las ciencias cognitivas para introducir los conceptos más relevantes en el estudio de la cognición.

WEEK 2
Mente, cuerpo y entorno
En el módulo 2 se explicarán los conceptos de mente encarnada, mente embebida, mente extendida y mente enactiva, al igual que su relevancia en ciencias cognitivas.

WEEK 3
Cognición y conciencia artificial
En el módulo 3 se revisarán temas relacionados con la cognición artificial, la influencia social en la cognición y el estudio científicos de la conciencia.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Legal Tech and the Digital Transformation of Law (Coursera) Coursera
Universidad Austral

Legal Tech and the Digital Transformation of Law (Coursera)

The digital revolution changed the way we communicate and trade. Now, it is coming into the world of law. This program will give you a broad overview of the main trends that are affecting the legal industry: the birth of the legal tech market and the application of technology in law; the role of artificial intelligence in the automation of the work of lawyers; blockchain technology and its impact on the way we sign and execute contracts; initiatives to ensure access to justice through virtual courts and robot judges.

Oct 5th 2026
5-12 Weeks
Psicología de la Percepción (Coursera) Coursera
Universidad de Palermo

Psicología de la Percepción (Coursera)

¿Cómo funcionan nuestros sentidos para ayudarnos a dar sentido y responder a nuestro entorno? ¿La percepción es un reflejo “fiel” del ambiente que nos rodea? ¿En qué se diferencia una alucinación de una percepción normal? ¿Cómo se relacionan los avances neurocientíficos con las teorías psicológicas clásicas de la percepción? ¿Cómo influyen la memoria, la atención y las expectativas en lo que percibimos?

Oct 12th 2026
3 Weeks
Medical Neuroscience (Coursera) Coursera
Duke University

Medical Neuroscience (Coursera)

Medical Neuroscience explores the functional organization and neurophysiology of the human central nervous system, while providing a neurobiological framework for understanding human behavior. In this course, you will discover the organization of the neural systems in the brain and spinal cord that mediate sensation, motivate bodily action, and integrate sensorimotor signals with memory, emotion and related faculties of cognition. The overall goal of this course is to provide the foundation for understanding the impairments of sensation, action and cognition that accompany injury, disease or dysfunction in the central nervous system. The course will build upon knowledge acquired through prior studies of cell and molecular biology, general physiology and human anatomy, as we focus primarily on the central nervous system.

Oct 12th 2026
13-24 Weeks
Designing Autonomous AI (Coursera) Coursera
University of Washington,Microsoft

Designing Autonomous AI (Coursera)

When children learn how to hit a baseball, they don’t start with fastballs. Their coaches begin with the basics: how to grip the handle of the bat, where to put their feet and how to keep their eyes on the ball. Similarly, an autonomous AI system needs a subject matter expert (SME) to break a complex process or problem into easier tasks that give the AI important clues about how to find a solution faster.

Oct 12th 2026
4 Weeks
The Brain and Space (Coursera) Coursera
Duke University

The Brain and Space (Coursera)

This course is about how the brain creates our sense of spatial location from a variety of sensory and motor sources, and how this spatial sense in turn shapes our cognitive abilities. Knowing where things are is effortless. But “under the hood,” your brain must figure out even the simplest of details about the world around you and your position in it.

Oct 12th 2026
5-12 Weeks
El Abogado del Futuro: Legaltech y la Transformación Digital del Derecho (Coursera) Coursera
Universidad Austral

El Abogado del Futuro: Legaltech y la Transformación Digital del Derecho (Coursera)

La revolución digital cambió nuestra manera de comunicarnos, de comerciar y de relacionarnos. Ahora, está llegando al mundo del derecho. Este programa te ofrecerá una visión amplia de las principales tendencias que están afectando a la industria legal: - El nacimiento del mercado de legaltech y la aplicación de tecnología en el derecho. - El rol de la inteligencia artificial en la automatización del trabajo de los abogados. - La tecnología de blockchain y su impacto en la forma en que firmamos y ejecutamos contratos. - Las iniciativas para asegurar el acceso a la justicia a través de cortes virtuales y jueces robot.

Oct 5th 2026
5-12 Weeks
Innovative Teaching with ChatGPT (Coursera) Coursera
Vanderbilt University

Innovative Teaching with ChatGPT (Coursera)

Despite what you may have heard, ChatGPT offers exciting possibilities for supporting innovative teaching and personalized education. This course provides practical techniques that any educator, from K-12 to higher education, can use to help support their teaching. No experience with ChatGPT, prompt engineering, or Generative AI is required.

Oct 12th 2026
1 Week
Artificial Intelligence for Breast Cancer Detection (Coursera) Coursera
Johns Hopkins University

Artificial Intelligence for Breast Cancer Detection (Coursera)

Through interactive lectures and module exercises, this course illustrates the potential of artificial intelligence in breast imaging. Topics include an introduction of breast cancer and breast imaging, introduction to artificial intelligence in image analysis and computer image processing of cancer detection. The course intends to provide students basic understanding of artificial intelligence approaches to breast cancer detection.

Oct 5th 2026
4 Weeks
Artificial Intelligence: An Overview (Coursera) Coursera
Politecnico di Milano

Artificial Intelligence: An Overview (Coursera)

The course will provide a non-technical overview of the artificial intelligence field. Initially, a discussion on the birth of AI is provided, remarking the seminal ideas and preliminary goals. Furthermore, the crucial weaknesses are presented and how these weaknesses have been circumvented. Then, the current state of AI is presented, in terms of goals, importance at national level, and strategies. Moreover, the taxonomy of the AI topics is presented.

Oct 12th 2026
5-12 Weeks
Technologies and platforms for Artificial Intelligence (Coursera) Coursera
Politecnico di Milano

Technologies and platforms for Artificial Intelligence (Coursera)

This course will address the hardware technologies for machine and deep learning (from the units of an Internet-of-Things system to a large-scale data centers) and will explore the families of machine and deep learning platforms (libraries and frameworks) for the design and development of smart applications and systems.

Oct 12th 2026
4 Weeks