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
Sponsored by BrightStar Care
8,548 already enrolled
Gain insight into a topic and learn the fundamentals.
4.1
(104 reviews)
Intermediate level
Some related experience required
20 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
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Assessments
7 assignments
Taught in Spanish
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This course is part of the Introducción a la inteligencia artificial Specialization
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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
Instructors
Instructor ratings
4.4 (32 ratings)Offered by
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4.1
104 reviews
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Showing 3 of 104
AG
4
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.
LS
5
Reviewed on Jul 12, 2020
Excelente el contenido, me obligó a consultar en otras fuentes y aprendí mucho.
RC
4
Reviewed on Aug 17, 2021
Falla mucho la parte del mantenimiento del curso ya que, casi no se ven los moderadores en los foros y puede ser frustante cuando entras mandas una tarea pero nadie te ayuda
Recommended if you're interested in Computer Science
Universidad Nacional Autónoma de México
Universidad Nacional Autónoma de México
Tecnológico de Monterrey
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