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Image to image translation with generative adversiale networks (translation of satelite image to Google maps image )


par Abel Azize Souna and Ilyes Chaki
Université Hassiba ben Bouali de Chlef  - Licence informatique 2022
  

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1.4 Knowledge Representation

Definition 1.9

Knowledge-representation is afield of artificial intelligence that focuses on designing computer representations that capture information about the world that can be used for solving complex problems

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semantic nets systems architecture

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1.5 automated reasoning

frames

rules

ontologies

1.5 automated reasoning

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Definition 1.10

Automated reasoning is the area ofcomputer science that is apply logical reasoning in computing systems. If given a set of assumptions and a goal, an automated reasoning system would be able to make logical inferences towards that goal automatically.

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Note Automated reasoning is considered to be a sub-field ofartificial intelligence (AI). yet the methods and implementation of both are unique enough. For example, AI typically uses a type logic called modal logic, which uses classical logic while also expressing modality (possibilities or impossibilities). The phrase AI also has connotations denoting a computer which works like a person, which opposes how automated reasoning works.

1.6 robotics

Definition 1.11

Robotics is a branch of AI, composed of Computer Science,Electrical Engineering, and Mechanical Engineering,used for designing,building , and application of intelligent robots [16].

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1.6.1 Aspects of robotics:

Robots have mechanical construction, form, or shape designed to accomplish the task designed for.

Robots have electrical components which have the role of powering and controlling the machinery. They contain some level of computer program that determines what, when and how a robot does something.

1.7 Conclusion

in this chapter we introduced some of the concepts and tools to use in this project,we will use CNN as a discriminator for the final model,expanding on this ideas was necessary in the process of creating an understanding of why artificial intelligence and why CNN exactly,next we will bring up the Generative adversarial network,and try to give an intuition of how it works.

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Generative Modeling

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