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).
Razonamiento artificial
Ends today: Lock in Cyber Monday savings with $160 off 10,000+ programs. Save now.
Razonamiento artificial
This course is part of Introducción a la inteligencia artificial Specialization
Instructors: David A. Rosenblueth +1 more
9,231 already enrolled
Included with
Gain insight into a topic and learn the fundamentals.
4.1
(113 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: Game Theory
- Category: Artificial Intelligence
- Category: Deductive Reasoning
- Category: Probability Distribution
- Category: Markov Model
- Category: Python Programming
- Category: Theoretical Computer Science
- Category: Logical Reasoning
- Category: Algorithms
- Category: Probability
- Category: Computational Logic
- Category: Bayesian Network
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
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
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
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
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
4.4 (33 ratings)David A. Rosenblueth
Universidad Nacional Autónoma de México
2 Courses9,971 learners
Stalin Muñoz Gutiérrez
Universidad Nacional Autónoma de México
3 Courses12,050 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
4.1
113 reviews
- 5 stars
50.44%
- 4 stars
27.43%
- 3 stars
12.38%
- 2 stars
1.76%
- 1 star
7.96%
Showing 3 of 113
YB
4
Reviewed on Dec 14, 2020
Es muy interesante en ocasiones complejo. En el ejercicio del modulo 6 no se especifica como debe ser la salida lo que hace que uno pierda tiempo sin necesidad.
AL
5
Reviewed on Dec 20, 2020
Buen curso. Sin embargo, es necesario tener conocimientos técnicos y de programación.
HP
4
Reviewed on Jan 30, 2021
Buen curso. Le daría 5 estrellas pero es confunso en lo que respecta a la entrega de tareas en Python, salvo eso, el curso es muy bueno.
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.