Concept of
ATIFICIAL INTELLIGENCE
Artificial intelligence (AI) refers to the development of
computer systems that can perform tasks that typically
require human intelligence, such as learning, reasoning,
problem-solving, perception, and natural language
processing. AI systems can be designed to operate in a
range of contexts, from autonomous vehicles and
medical diagnosis to fraud detection and customer
service.
LETS GET STARTED
1.
1.
2.
2.
3.
3.
How do we measure if Artificial
Intelligence is acting like a human?
Turing Test
.
The Cognitive Modelling Approach
The Law of Thought Approach
4. The Rational Agent Approach
3.
3.
What is the Turing Test in Artificial
Intelligence?
.
Knowledge Representation acts as its memory.
Automated Reasoning uses the stored
information to answer questions and draw new
conclusions.
Machine Learning to detect patterns and adapt to
new circumstances.
1.
1.
2.
2.
As the name suggests, this approach tries to build an Artificial Intelligence model
based on Human Cognition
Cognitive Modelling Approach
Introspection:
observing our
thoughts, and
building a model
based on that
Psychological
Experiments:
conducting
experiments on
humans
and observing
their behaviour
Brain Imaging: Using
MRI to observe how
the brain functions in
different scenarios
and replicating that
through code.
The Laws of Thought Approach
The Laws of Thought are a large list of logical statements that govern
the operation of our mind. The same laws can be codified and applied
to artificial intelligence algorithms. The issue with this approach, is
because solving a problem in principle (strictly according to the laws
of thought) and solving them in practice can be quite different,
requiring contextual nuances to apply. Also, there are some actions
that we take without being 100% certain of an outcome that an
algorithm might not be able to replicate if there are too many
parameters.
100%
A rational agent acts to achieve the best possible
outcome in its present circumstances.
According to the Laws of Thought approach, an entity
must behave according to the logical statements. But
there are some instances, where there is no logical right
thing to do, with multiple outcomes involving different
outcomes and corresponding compromises. The rational
agent approach tries to make the best possible choice in
the current circumstances. It means that it’s a much
more dynamic and adaptable agent.
Now that we understand how Artificial Intelligence can
be designed to act like a human, let’s take a look at how
these systems are built.
The Rational Agent Approach
.
How does Artificial
Intelligence (AI) Work?
• Machine
Learning:
• Deep Learning
• Neural Networks
1 TYPE TYPE 2 TYPE 3
Artificial
Narrow
Intelligence
(ANI)
Artificial
General
Intelligence
(AGI)
Artificial
Super
Intelligence
(ASI)
3 Types of Artificial Intelligence
What are the Types of Artificial Intelligence
Thanks YOU!

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ARTIFICIAL INTELLIGENCE.pptx

  • 2. Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and natural language processing. AI systems can be designed to operate in a range of contexts, from autonomous vehicles and medical diagnosis to fraud detection and customer service. LETS GET STARTED
  • 3. 1. 1. 2. 2. 3. 3. How do we measure if Artificial Intelligence is acting like a human? Turing Test . The Cognitive Modelling Approach The Law of Thought Approach 4. The Rational Agent Approach
  • 4. 3. 3. What is the Turing Test in Artificial Intelligence? . Knowledge Representation acts as its memory. Automated Reasoning uses the stored information to answer questions and draw new conclusions. Machine Learning to detect patterns and adapt to new circumstances. 1. 1. 2. 2.
  • 5. As the name suggests, this approach tries to build an Artificial Intelligence model based on Human Cognition Cognitive Modelling Approach Introspection: observing our thoughts, and building a model based on that Psychological Experiments: conducting experiments on humans and observing their behaviour Brain Imaging: Using MRI to observe how the brain functions in different scenarios and replicating that through code.
  • 6. The Laws of Thought Approach The Laws of Thought are a large list of logical statements that govern the operation of our mind. The same laws can be codified and applied to artificial intelligence algorithms. The issue with this approach, is because solving a problem in principle (strictly according to the laws of thought) and solving them in practice can be quite different, requiring contextual nuances to apply. Also, there are some actions that we take without being 100% certain of an outcome that an algorithm might not be able to replicate if there are too many parameters. 100%
  • 7. A rational agent acts to achieve the best possible outcome in its present circumstances. According to the Laws of Thought approach, an entity must behave according to the logical statements. But there are some instances, where there is no logical right thing to do, with multiple outcomes involving different outcomes and corresponding compromises. The rational agent approach tries to make the best possible choice in the current circumstances. It means that it’s a much more dynamic and adaptable agent. Now that we understand how Artificial Intelligence can be designed to act like a human, let’s take a look at how these systems are built. The Rational Agent Approach
  • 8. . How does Artificial Intelligence (AI) Work? • Machine Learning: • Deep Learning • Neural Networks
  • 9. 1 TYPE TYPE 2 TYPE 3 Artificial Narrow Intelligence (ANI) Artificial General Intelligence (AGI) Artificial Super Intelligence (ASI) 3 Types of Artificial Intelligence What are the Types of Artificial Intelligence