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Délia Boino
Submitted by dboino on 9 March 2021
Intended learning outcomes

At the end of this course students will be able to:

  1. Understand the role of Procedural Content Generation (PCG) and Artificial Intelligence (AI) in the creation of interactive virtual environments for simulations/games capable of emulating the real world in its sensory components (collisions, sounds, images), cognitive (intelligence, adaptation, learning) and social (communication, cooperation, competition);
  2. Know and apply PCG techniques, namely for creating terrains and levels (relief, vegetation, rivers, roads, cities, biomes);
  3. Know and apply IA techniques to train autonomous agents (NPC) to perform a certain task, individual or collective;
  4. Use simulations/games as virtual environments to train autonomous agents (e.g., driving a vehicle), with the objective of later application in real environments (robotics);
  5. Know how to apply the interaction with the user/player to guide the processes of PCG and the training of the agents (human-in-the-loop).


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