Agenda
Game AI Roundtable
Rez Graham (Technical & Creative Director, Independent)
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Track:
Programming, Design
Audience Level:
All
Format:
Roundtable
Vault Recording: TBD
Audience Level: All
The Game AI Roundtable is organized into three sessions, with each session having its own focus.
Session 1 focuses on machine learning and generative AI, including LLMs. Discussion will cover current uses, challenges, ethics, and the evolving role of these technologies in games. The focus will be on tools for game development or integrating these technologies into the games themselves.
Session 2 centers on traditional, non-ML game AI. Topics include behavior trees, utility systems, navigation, tools, and other established techniques. This session avoids machine learning (which is covered on day 1) to keep the conversation targeted towards current mainstream game AI.
Session 3 closes the conference with a fast-paced Q&A session aimed at all experience levels. Designers, students, programmers, animators, producers, and anyone else curious about game AI are encouraged to bring questions. The goal is to answer as many questions as possible and cover a broad range of topics rather than dive deeply into any single one.
Session 1 focuses on machine learning and generative AI, including LLMs. Discussion will cover current uses, challenges, ethics, and the evolving role of these technologies in games. The focus will be on tools for game development or integrating these technologies into the games themselves.
Session 2 centers on traditional, non-ML game AI. Topics include behavior trees, utility systems, navigation, tools, and other established techniques. This session avoids machine learning (which is covered on day 1) to keep the conversation targeted towards current mainstream game AI.
Session 3 closes the conference with a fast-paced Q&A session aimed at all experience levels. Designers, students, programmers, animators, producers, and anyone else curious about game AI are encouraged to bring questions. The goal is to answer as many questions as possible and cover a broad range of topics rather than dive deeply into any single one.
Takeaway
Attendees will gain a clearer understanding of current game AI practices, from established techniques to emerging ML and LLM approaches. Day 1 focuses on machine learning, LLMs, and other approaches as they apply to games. Day 2 focusing on traditional game AI techniques. Day 3 wraps up the conference with a Q&A session.
Intended Audience
Day 1 is targeted towards those who are working with or interested in Machine Learning and large language models. Day 2 is aimed at programmers and technical designers who are familiar with traditional game AI and focuses on those techniques. Day 3 is a Q&A session and is open to everyone, regardless of experience level or technical ability.