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Oct 21st 2021
News
Learn about the AI research shaping the future of video games
Will intelligent tutoring agents replace game tutorials? Can AI models assist level designers and still keep the designer’s creative style? Dive into the AI research shaping video games.
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Sep 17th 2021
Research Post
Measuring the Solution Strength of Learning Agents in Adversarial Perfect Information Games
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Aug 24th 2021
News
Recapping ICAPS 2021
Amii researchers had their work featured recently at the International Conference on Automated Planning and Scheduling (ICAPS), the premier forum for exchanging news and research results on theory and applications of intelligent and automated planning and scheduling technology.
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Aug 11th 2021
News
AI in Video Games: Planning, Pathfinding and Puzzles with Nathan Sturtevant
Video games have long been a domain explored by AI researchers, and researchers from Amii have a rich history producing advancements that can help across all aspects of game design, development and delivery.
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May 17th 2021
Research Post
Conflict-Based Increasing Cost Search
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May 17th 2021
Research Post
Demos for a Course in Single-Agent Heuristic Search
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May 17th 2021
Research Post
Iterative-deepening Bidirectional Heuristic Search with Restricted Memory
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May 17th 2021
Research Post
Jump Point Search with Temporal Obstacles
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Feb 1st 2021
Research Post
Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions
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Jan 28th 2021
News
Amii papers published & researcher contributions at AAAI 2021
Amii is proud to share the work of our researchers being featured at the 35th AAAI Conference on Artificial Intelligence, running online this year from February 2 to 9.
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Oct 1st 2020
Research Post
A Demonstration of Anhinga: A Mixed-Initiative EPCG Tool for Snakebird
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Oct 1st 2020
Research Post
The Unexpected Consequence of Incremental Design Changes
Human designers may find it difficult to anticipate the impact of small changes to some games, particularly in puzzle games. However, it is not difficult for computers to simulate all mechanical impacts of such small changes. This suggests that computers might be able to aid humans designers as they build and analyze game levels.
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Jun 1st 2020
Research Post
Probabilistic Robust Multi-Agent Path Finding
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Jun 1st 2020
Research Post
Predicting the Effectiveness of Bidirectional Heuristic Search
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May 8th 2020
Research Post
Multi-Directional Search
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May 8th 2020
Research Post
A Guide to Budgeted Tree Search
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Dec 9th 2019
News
Five more Canada CIFAR Chairs in AI appointed
Amii and UAlberta are pleased to welcome five new Canada CIFAR Chairs in AI to our family: Rupam Mahmood, Lili Mou, Nathan Sturtevant, Csaba Szepesvári and Adam White.
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Aug 10th 2019
Research Post
Conditions for Avoiding Node Re-expansions in Bounded Suboptimal Search
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Jul 30th 2019
Research Post
Iterative Budgeted Exponential Search
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Feb 2nd 2018
Research Post
A Brief History and Recent Achievements in Bidirectional Search
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Aug 17th 2017
Research Post
Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions
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Jun 18th 2017
Research Post
Sufficient Conditions for Node Expansion in Bidirectional Heuristic Search
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May 30th 2017
Research Post
MM: a Bidirectional Search Algorithm that is Guaranteed to Meet in the Middle
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Feb 12th 2016
Research Post
Bidirectional Search That Is Guaranteed to Meet in the Middle
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