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
Razonamiento artificial
This course is part of Introducción a la inteligencia artificial Specialization
Instructors: David A. Rosenblueth
Access provided by Emirates Water & Electricity Co.
9,372 already enrolled
Gain insight into a topic and learn the fundamentals.
114 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
- Algorithms
- Bayesian Network
- Decision Tree Learning
- Logical Reasoning
- Artificial Intelligence
- Game Theory
- Markov Model
- Deductive Reasoning
- Probability
- Computational Logic
- Theoretical Computer Science
- Probability Distribution
- Reinforcement Learning
- Verification And Validation
- Python Programming
- Skills section collapsed. Showing 10 of 15 skills.
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
7 assignments
Taught in Spanish
See how employees at top companies are mastering in-demand skills
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
(33 ratings)Offered by
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
50%
- 4 stars
27.19%
- 3 stars
13.15%
- 2 stars
1.75%
- 1 star
7.89%
Showing 3 of 114
AG
Reviewed on Apr 19, 2021
Está interesante el curso pero debes de saber un poco sobre programación y de matemáticas o te darás de topes.
JL
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.
MP
Reviewed on Sep 30, 2020
Me gusta la plataforma muy amigable y el curso tambien, se nota que los docentes son profesionales y conocen el tema
Explore more from Computer Science
Universidad Nacional Autónoma de México
Universidad Nacional Autónoma de México
Universidad Nacional Autónoma de México
Universidad Nacional Autónoma de México