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
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Razonamiento artificial
This course is part of Introducción a la inteligencia artificial Specialization
Instructors: David A. Rosenblueth
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4.1
(113 reviews)
Intermediate level
Some related experience required
2 weeks to complete
at 10 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
When you enroll in this course, you'll also be enrolled in this 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
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4.4 (33 ratings)Offered by
Explore more from Algorithms
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Universidad de Palermo
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4.1
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Showing 3 of 113
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.
AL
5
Reviewed on Dec 20, 2020
Buen curso. Sin embargo, es necesario tener conocimientos técnicos y de programación.
YB
4
Reviewed on Dec 14, 2020
Es muy interesante en ocasiones complejo. En el ejercicio del modulo 6 no se especifica como debe ser la salida lo que hace que uno pierda tiempo sin necesidad.
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