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Razonamiento artificial

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Razonamiento artificial

This course is part of Introducción a la inteligencia artificial Specialization

Instructors: David A. Rosenblueth

9,537 already enrolled

Included with

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6 modules

Gain insight into a topic and learn the fundamentals.

115 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.

115 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

Tools you'll learn

Python Programming

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in Spanish

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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).

Module details

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.