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Artificial Intelligence

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

By: Henrik Hortemo
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Decks in this class (18)

01 Intelligent agents
Intelligent agent,
Rational agent,
The task of ai
12  cards
02 Searching
Searching,
Formulation of a search problem,
Problem solving agents
18  cards
03 Logical agents
Knowledge based agents,
Knowledge representation language...,
Aspects of knowledge representati...
13  cards
04 First-Order Logic
From propositonal to first order ...,
First order logic,
Logical commitments
14  cards
05 Knowledge Engineering in FOL
Knowledge engineering,
Knowledge engineering vs programming,
Knowledge engineering approach
4  cards
06 Knowledge Representation
General ontology,
Ogdens trekant,
Ontological engineering
16  cards
07 Classical Planning
What is planning,
Factored plan representation,
Planning representation of states...
17  cards
08 Planning and acting
Classical planners assume but in ...,
Time schedules and resources,
Scheduling no resource constraints
14  cards
09 Quantifying Uncertainty
Agents and uncertainty
1  cards
10 Probabilistic Reasoning
Status of probability sentences,
Probability utility and decisions,
Basic probability notationa proba...
14  cards
11 Making Simple Decisions
Uncertainty and utilityagents and...,
Maximum expected utility,
Problems with applying meuoften d...
14  cards
12 Learning From Examples
General model of learning agents,
Aspects of the learning element,
Performance element componentspos...
11  cards
12 Learning From Examples: Neural networks
Neural networks background,
The basic unit of neural networks,
Activation functions
12  cards
13 Reinforcement Learning
Reinforcement learning,
Variations of rl,
Sequential decision processes
18  cards
14 Natural Language Processing
Communication,
Communication and action,
Some types of speech acts
13  cards
15 Foundations and prospects
He big questions,
Weak vs strong ai,
The turing test
20  cards
00 Contents
Contents intelligent agents,
Contents searching,
Contents logical agents
15  cards
00 Summaries
Reinforcement learning,
Natural language processing,
Learning from examples
7  cards

More about
Artificial Intelligence

  • Class purpose General learning

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