Razonamiento artificial

Ends in 5 days! Save 40% on your access to 10,000+ programs and make a real impact in your career. Save now.

Razonamiento artificial

This course is part of Introducción a la inteligencia artificial Specialization

Instructors: David A. Rosenblueth +1 more

9,613 already enrolled

Included with

6 modules

Gain insight into a topic and learn the fundamentals.

116 reviews

Intermediate level

Some related experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

116 reviews

Intermediate level

Some related experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Category: Theoretical Computer Science
Category: Decision Intelligence
Category: Markov Model
Category: Verification And Validation
Category: Deductive Reasoning
Category: Computational Logic
Category: Artificial Intelligence
Category: Bayesian Network
Category: Game Theory
Category: Probability

Tools you'll learn

Category: Python Programming

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in Spanish

Build your subject-matter expertise

This course is part of the Introducción a la inteligencia artificial Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 6 modules in this course

El razonamiento formal juega un papel importante en la inteligencia artificial. Hay dos maneras principales de formalizar razonamiento: una que enfatiza la deducción (lógica), y otra que enfatiza la incertidumbre (teoría de la probabilidad). En este curso vamos a cubrir una introducción tanto a la lógica (vamos a cubrir tres lógicas) como a la teoría de la probabilidad (vamos a cubrir tres modelos gráficos probabilísticos).

En este módulo de razonamiento lógico podrás familiarizarte con la lógica proposicional. Verás una primera manera de formalizar razonamiento y los problemas NP-completos, que son arquetípicos en inteligencia artificial.

What's included

4 videos1 reading1 assignment

What's included

3 videos1 assignment1 programming assignment1 ungraded lab

En este módulo de razonamiento lógico podrás familiarizarte con la lógica temporal para entender los conceptos básicos de los "verificadores de modelos" y con la lógica de predicados para sentar las bases de varias técnicas de inteligencia artificial.

What's included

6 videos2 assignments

6 videosTotal 28 minutes

Conceptos preliminares y sintaxis de lógica temporal2 minutes
Semántica de lógica temporal8 minutes
Conceptos preliminares y sintaxis de lógica de predicados5 minutes
Semántica de lógica de predicados7 minutes
Inferencia de lógica de predicados3 minutes
Problemas cuando base de inteligencia artificial3 minutes

2 assignmentsTotal 55 minutes

Lógica temporal25 minutes
Lógica de predicados30 minutes

En este módulo de razonamiento probabilístico estarás familiarizado con dos modelos gráficos probabilísticos: las redes bayesianas y las cadenas de Markov.

What's included

2 videos1 assignment1 programming assignment1 ungraded lab

En este módulo de razonamiento probabilístico estarás familiarizado con un modelo gráfico probabilístico: los procesos de decisión de Markov.

What's included

2 videos1 assignment1 programming assignment1 ungraded lab

En este módulo de razonamiento probabilístico estarás familiarizado con un modelo gráfico probabilístico: los procesos de decisión de Markov.

What's included

3 videos1 assignment1 programming assignment1 ungraded lab

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings

(33 ratings)

David A. Rosenblueth

Universidad Nacional Autónoma de México

2 Courses10,438 learners

Stalin Muñoz Gutiérrez

Universidad Nacional Autónoma de México

3 Courses12,551 learners

Offered by

Universidad Nacional Autónoma de México

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

5 stars
49.13%
4 stars
26.72%
3 stars
13.79%
2 stars
1.72%
1 star
8.62%

Showing 3 of 116

Reviewed on Dec 20, 2020

Buen curso. Sin embargo, es necesario tener conocimientos técnicos y de programación.

Reviewed on Aug 11, 2020

Es muy bueno, aunque los temas del final se ven un poco de prisa.

Reviewed on Nov 30, 2020

Es un reto realizar este curso, hay que estar muy atento a cada palabra de los profesores ya que son la clave para pasar las evaluaciones.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.