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Fundamentals of AI

This class was created by Brainscape user Kaushik Purahoo. Visit their profile to learn more about the creator.

By: Kaushik Purahoo
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Decks in this class (11)

02 Intelligent Agents
An intelligent agent is anything ...,
In control theory one typically d...,
Percept sequencean agent s percep...
15  cards
03 Uninformed Search Algorithms
How do you define,
Tree like search algorithm,
Is it possible that graph search ...
11  cards
04 Informed Search Algorithms
1  cards
03.2 Breadth-First Search//Uniform-Cost Search
Function breadth first search pro...,
Loop doif is empty frontier then ...,
Auxiliary algorithm expandfunctio...
5  cards
03.3 Best-First Search/Depth-First Search
Best first searchit uses a for th...,
Best first search changes to brea...,
Operations on the lookup table re...
12  cards
06. Logical Agents I
A knowledge base is an an inferen...,
What are some possibilities to ga...,
Agents can be viewed at two diffe...
15  cards
06. Logical Agents II
Explain resolution inference rules,
Conjunctive normal formthe resolu...,
A resolution algorithminference p...
9  cards
07. First Order Logic
3 advantages of propositional logic,
2 dis advantages of propositional...,
First order logic fol whereas pro...
7  cards
08. Inference in First Order Logic
Universal instantiation we can we...,
When existential quantifiers appe...,
Existential instantiation change ...
10  cards
08.2 Inference in First Order Logic| Resolution
Conjunctive normal form for first...,
Conversion to cnf
2  cards
09. Bayesian Networks
Explain normalisation,
Bayesian networksa full joint pro...,
Bayesian networka bayesian networ...
9  cards

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Fundamentals of AI

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