Razonamiento artificial

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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.

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.

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

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

David A. Rosenblueth

Universidad Nacional Autónoma de México

2 Courses10,443 learners

Stalin Muñoz Gutiérrez

Universidad Nacional Autónoma de México

3 Courses12,556 learners

Offered by

Universidad Nacional Autónoma de México

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Frequently asked questions

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