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
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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
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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
Recommended if you're interested in Algorithms
University of Michigan
Universidad Austral
Universidad Austral
Fundação Instituto de Administração
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4.1
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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.
MP
4
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
CC
4
Reviewed on Mar 29, 2020
Para la tarea de programación en redes bayesianas deberían dar más hints sobre cómo obtener los resultados.
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