What Is Knowledge Representation In AI?

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What Is Knowledge Representation In Artificial
Intelligence? How machines perform reasoning and
interpretation
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Content Synopsis
Overview of key ideas Artificial
intelligence-knowledge representation at a
glance Methods of knowledge representation Need
Artificial Assignment Help
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Artificial Intelligence- Knowledge
Representation At A Glance
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Knowledge representation in AI allows the
machine to learn from the stored knowledge in a
database and behave like a human being. Let's
learn about some major topics involved with
artificial intelligence in a simplified way.
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Methods Of Knowledge Representation In
Artificial Intelligence?
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Knowledge representation in AI involves the
following four techniques Logical
Representation- It contains some specific rules
and represents a conclusion that is based on
various conditions. Semantic Network
Representation- It helps represent knowledge in
the form of a graphic network. It is easy to
understand and can also be extended easily.
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Frame Representation is also called slot filter
knowledge as it contains slots for various
objects. It can either represent declarative
knowledge or procedural knowledge. Production
Rules- It helps describe and perform the search
processes by structuring all programs. It is
expressed in natural language and is also highly
modular.
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