ICT371 Artificial Intelligence-limited information and computational

ICT371 Artificial Intelligence-limited information and computational

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ICT371 Artificial Intelligence

Task:

Overview of the Subject

The goal of Artificial Intelligence is to build software systems that behave “intelligently”. That is, do these computer systems “do the right thing” in complex environments? Do they act optimally given the limited information and computational resources available? How is this aim interpreted? This subject covers the core topics of Artificial Intelligence such as knowledge representation, reasoning, and learning. Students will learn to design and analyse autonomous agents that do the right thing in the face of limited computational resources and limited information. This subject examines agents that can effectively make decisions in fully observable, partially observable and adversarial environments, and agents that can adapt their actions by learning from experience.

Across the course, these skills are developed progressively at three levels:

Level 1 Foundation – Students learn the basic skills, theories and techniques of the subject and apply them in basic, standalone contexts

Level 2 Intermediate – Students further develop the skills, theories and techniques of the subject and apply them in more complex contexts, and begin to integrate this application with other subjects.

ICT371 Artificial Intelligence

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