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

AI-Enhanced Presentations Captivating Audiences with TOME (Coursera) Coursera
Coursera Instructor Network

AI-Enhanced Presentations Captivating Audiences with TOME (Coursera)

AI analyzes content, suggests visuals, and recommends layouts, elevating your presentations to the next level. It's like having a design assistant at your fingertips. This one-hour course is for those interested in quickly creating slide decks with generative AI. Learn to use Tome AI to generate a slide structure overview and to incorporate text from a document into the slides.

Sep 21st 2026
1 Week
Avoiding AI Harm (Coursera) Coursera
Fred Hutchinson Cancer Center

Avoiding AI Harm (Coursera)

This course is designed for those in roles with decision making power, to help them understand major topics to consider for using and developing Artificial Intelligence (AI) responsibly, including popular Generative AI tools like ChatGPT and others. It covers real-world examples of situations where AI was used in variety of fields and situations in ways hat revealed ethical concerns. Strategies are suggested to avoid doing harm working with AI, including a framework for working responsibly with AI.

Sep 21st 2026
1 Week
Input and Interaction (Coursera) Coursera
University of California, San Diego

Input and Interaction (Coursera)

In this course, you will learn relevant fundamentals of human motor performance, perception, and cognition that inform effective interaction design. You will use these models of how people work to design more effective input and interaction techniques. You’ll apply these to both traditional graphic and gestural interfaces.

Sep 21st 2026
3 Weeks
Deep Learning for Business (Coursera) Coursera
Yonsei University

Deep Learning for Business (Coursera)

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers.

Sep 21st 2026
5-12 Weeks
AI-Driven Attribution Testing (Coursera) Coursera
Board Infinity

AI-Driven Attribution Testing (Coursera)

Welcome to AI-Driven Attribution Testing course an engaging and comprehensive course designed to guide you through the fundamental concepts and practical applications of attribution testing powered by artificial intelligence. This course is most suitable for marketers, data analysts, data scientists, and business leaders who aim to leverage data-driven insights for decision-making. It's also beneficial for students and professionals with a keen interest in the convergence of AI, data analysis, and marketing.

Sep 21st 2026
2 Weeks
Business Considerations for 5G with Edge, IoT, and AI (Coursera) Coursera
EDUCBA

Business Considerations for 5G with Edge, IoT, and AI (Coursera)

By completing this course, learners will be equipped with the knowledge and skills necessary to navigate the complex landscape of 5G technology and its intersection with edge computing, IoT, and AI. They will gain a comprehensive understanding of how these technologies converge to drive business innovation and success in the digital age. Real-world case studies and practical insights will enable participants to apply their learning directly to their organizations, fostering a competitive advantage in the rapidly evolving marketplace.

Sep 21st 2026
2 Weeks
Developing AI Applications on Azure (Coursera) Coursera
LearnQuest

Developing AI Applications on Azure (Coursera)

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning.

Sep 21st 2026
5-12 Weeks