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Advanced Artificial Intelligence

Estimated time to read: 12 minutes

Students with a firm foundation in the basic techniques of artificial intelligence for games will apply their skills to program advanced pathfinding algorithms, artificial opponents, scripting tools and other real-time drivers for non-playable agents. The goal of the course is to provide finely-tuned artificial competition for players using all the rules followed by a human.

Requirements

  • Artificial Intelligence for Games

Texbook

  • AI for Games, Third Edition: 9781138483972: Millington, Ian

Student-centered Learning Outcomes

Bloom's Taxonomy

Bloom's Taxonomy on Learning Outcomes

Upon completion of the Advanced AI for Games, students should be able to:

Objective Outcomes

  • Recall fundamental AI techniques for games;
  • Identify key components of advanced AI, including pathfinding algorithms and scripting tools
  • Demonstrate a deep understanding of advanced AI principles in gaming;
  • Apply knowledge to program advanced AI components for finely-tuned competition;
  • Evaluate the effectiveness and ethical considerations of advanced AI in game design;
  • Design and implement innovative AI-driven features for enhanced gameplay;
  • Integrate advanced AI seamlessly into game systems for cohesive environments;
  • Consider societal impact and consequences of AI applications in gaming;

Schedule for Spring 2024

Warning

This is a work in progress, and the schedule is subject to change. Every change will be communicated in class. Use the github repo as the source of truth for the schedule and materials. The materials provided in canvas are just a copy for archiving purposes and might be outdated.

College dates for the Spring 2024 semester:

Date Event
Jan 16 Classes Begin
Jan 16 - 22 Add/Drop
Feb 26 - March 1 Midterms
March 11 - March 15 Spring Break
March 25 - April 5 Registration for Fall Classes
April 5 Last Day to Withdraw
April 8 - 19 Idea Evaluation
April 12 No Classes - College remains open
April 26 Last Day of Classes
April 29 - May 3 Finals
May 11 Commencement

  • 🔰 Introduction

    • Week 1. 2024/01/15
    • Topic: AI for games, review of basic AI techniques
    • Activities:
      • Read all materials shared on Canvas;
      • Do all assignments on Canvas;

  • 📊 Wave Function Collapse

    • Week 2. 2024/01/22
    • Topic: Wave Function Collapse

  • Applying A* into continuous space

    • Week 3. 2024/01/29
    • Topic: Applying A* into continuous spaces

  • Applying A* into continuous spaces

    • Week 4. Date: 2024/02/05
    • Topic: Applying A* into continuous spaces

  • Testing your AI Agent and rules

    • Week 5. 2024/02/12
    • Topic: Testing your AI Agent, building meaningful tests, metrics, evaluation and machinations

  • #⃣ Testing your AI Agent

    • Week 6. 2024/02/19
    • Topic: Testing your AI Agent, building meaningful tests, metrics, evaluation and machinations

  • ⚠ Midterms

    • Week 7. Date: 2024/02/26
    • Topic: Work sessions

  • Min max

    • Week 8. 2024/03/04
    • Topic: Min Max

  • Break

    • Week 09. 2024/03/11
    • Topic: Spring BREAK. No classes this week.
    • Week 10. 2024/03/18
    • Topic: Monte Carlo Tree Search

  • Chess

    • Week 11. 2024/03/25
    • Topic: Chess

  • Chess

    • Week 12. 2024/04/01
    • Topic: Chess

  • Chess

    • Week 13. 2024/04/08
    • Topic: Chess

  • Chess

    • Week 14. 2024/04/15
    • Topic: Chess

  • 🧑‍🏭 Chess

    • Week 15. 2024/04/22
    • Topic: Work sessions for chess

  • ⚠ Finals

    • Week 16. 2024/04/26
    • Topic: Finals Week / competition

Old schedule for reference

Schedule for Fall 2023

Relevant dates for the Fall 2023 semester:

  • 09-10 Oct 2023 - Midterms Week
  • 20-24 Nov 2023 - Thanksgiving Break
  • 11-15 Dec 2023 - Finals Week

  • 🔰 Introduction

  • 🤖 Behavioral Agents

  • Finite Automata

  • Random Numbers

    • Week 4. Date: 2023/09/18
    • Topic: Pseudo Random Number Generation
    • Formal Assignment: PRNG at Beecrowd

  • DFS

  • Path finding

    • Week 6. 2023/10/02
    • Topic: Breadth First Search and Path Finding A*
    • Interactive Assignment: Catch the Cat

  • ⚠ Midterms

    • Week 7. Date: 2023/10/09
    • Topic: Catch the Cat Challenge and Competition
    • Catch the Cat

  • Spatial Quantization

    • Week 8. 2023/10/16
    • Topic: Spatial Quantization and Partitioning
    • Readings: Spatial Quantization
    • Formal Assignment: Hide and Seek

  • Spatial Quantization

    • Week 9. 2023/10/23
    • Topic: Spatial Quantization and Partitioning
    • Readings: Spatial Quantization
    • Formal Assignment: Hide and Seek

  • Noise Functions

    • Week 10. 2023/10/30
    • Topic: Noise functions
    • Formal Assignment:
    • Interactive Assignment: Scenario Generation

  • 🎑 Procedural Generation

    • Week 11. 2023/11/06
    • Topic: Procedural Content Generation - Scenario
    • Formal Assignment:
    • Interactive Assignment: Scenario Generation

  • 🎑 Procedural Generation

    • Week 12. 2023/11/13
    • Topic: Procedural Content Generation - Scenario
    • Formal Assignment:
    • Interactive Assignment: Scenario Generation

  • Break

    • Week 13. 2023/11/20
    • Topic: BREAK. No classes

  • 🧑‍🏭 Work sessions

    • Week 14. 2023/11/27
    • Topic: Work sessions for final project

  • 🧑‍🏭 Work sessions

    • Week 15. 2023/12/04
    • Topic: Work sessions for final project

  • Finals

    • Week 16. 2023/12/11
    • Topic: Final Presentations

slide test: test

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