BIM 7th semester Artificial Intelligence Notes

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BIM 7th semester Artificial Intelligence Notes
BIM 7th semester Artificial Intelligence Notes

We have collected the TU BIM 7th semester Artificial Intelligence Notes PDF.

BIM 7th semester Artificial Intelligence Notes

Following are the chapter-wise notes

Chapter 1: Introduction to Artificial Intelligence

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Chapter 2: Agents and Environments

An agent is anything that perceives its environment through sensors and acts upon that environment through sensors.

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Chapter 3: Informed and Uninformed Search

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Chapter 4: Knowledge representation

Knowledge is a theoretical or practical understanding of a subject or a domain. Knowledge is also the sum of what is currently known.

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Chapter 5: Learning

Learning denotes changes in the system that are adaptive in the sense that they enable the system to do the same task more effectively the next time.

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Chapter 6: Applications of AI Neutral Network.

Neutral Networks of neurons for the exam as found in a real brain.

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Chapter 7: Production System

A production system is a computer system typically used to provide some forms of artificial intelligence, which consists primarily of a set of rules about behavior.

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Chapter 8: Probability and Uncertainty

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Chapter 9: Expert System

An Expert System is a computer system whose performance is guided by specific, expert knowledge in the solving systems.

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Hence, these are the chapter notes for the BIM 7th Semester.

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