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Foundations of AI (2AMU10)

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

By: Catherine Macdonald
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Decks in this class (11)

L1: Introduction, Microworlds, Minimax Search
What are the four different ways ...,
Properties of games,
When did ai beat humans in games
8  cards
L2: Connectionist vs. Symbolic AI, Darthmouth Workshop
What is connectionist ai,
Describe mcculloch pitts binary t...,
What is symbolic ai
7  cards
L3: Golden Years & Physical Symbol System Hypothesis, Reasoning by Resolution & Unification
What is the physical symbol syste...,
What is a knowledge base,
Want to find out whether kb model...
20  cards
L4: Early Connectionism & Perceptrons, First AI Winter
What is hebbian learning,
What was minsky s snarc,
What did rosenblatt invent in 1958
8  cards
L5: Expert Systems, Heuristics, Second Boom
What was weak methods in ai,
What is an expert system,
What is a heuristic
7  cards
L6: Second Winter, Reasoning Under Uncertainty
What were the issues with expert ...,
Why is there a need for uncertain...,
What are different methods for re...
22  cards
L7: Markov Chains, Monte Carlo Estimation
Equation for conditional probability,
Name some dynamical systems with ...,
Definition of a stochastic process
20  cards
L8: Markov Chain Monte Carlo
What is bayes rule,
How to calculate posterior expect...,
What is a transition density
9  cards
L9: Monte Carlo Tree Search, Current AI, Timeline Overview
How does monte carlo tree search ...,
Steps of monte carlo tree search,
What is the formula for the upper...
8  cards
L10: Causality
Factorise problem on slide 10,
Marginalise problem on slides 10 13,
Definition of causal inference
19  cards
L11: Optimisation & Metaheuristics
What is optimisation,
Name the optimisation terminology...,
Name the categorisations of optim...
8  cards

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Foundations of AI (2AMU10)

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