@aiide.bsky.social
Official account of the AAAI conference on Artificial Intelligence and Interactive Digital Entertainment
We are thrilled to announce that AIIDE-26 will be held at the Federal University of Minas Gerais, Belo Horizonte, MG, Brazil from November 9-13, 2026! Paper abstracts due June 19 with full submissions due June 26, 2026. sites.google.com/view/aiide20...
12.01.2026 17:18 โ ๐ 9 ๐ 4 ๐ฌ 0 ๐ 2
#AIIDE25 wrapped! Thanks to everyone who made this yearโs @aiide.bsky.social such a success. Weโll be back soon with announcements for โ26โs location and call, plus the โ25 recordings. But for now Iโm going to turn off my brain for 48 hours.
15.11.2025 00:40 โ ๐ 22 ๐ 5 ๐ฌ 0 ๐ 0For those who couldn't make it to Edmonton, Emily Halina is live-posting paper sessions!
11.11.2025 02:59 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
The final keynote for AIIDE'25 is on Artificial Agency's (
@artificial-agency.bsky.social ) behaviour engine, presented by Chris Entwistle.
A box lunch will be provided for this last-day lunch keynote ๐ฑ
If youโre interested in attending only the #AIIDE25 Welcome Event or Poster/Demo session, you can use the separate registration links below:
Welcome Event separate registration: aaaiforms.wufoo.com/forms/aiide2...
Poster/Demo Session separate registration: aaaiforms.wufoo.com/forms/aiide2...
AIIDEยด25 features a keynote by Dr. Jonathan Schaeffer, 50 year veteran in the field who will share valuable lessons from his career.
27.10.2025 18:53 โ ๐ 3 ๐ 2 ๐ฌ 0 ๐ 0With this we are all caught up! Stay tuned for the 2025 best paper award in November!
27.10.2025 18:48 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0๐ Best Paper โ 2024
Generalized Entropy and Solution Information for Measuring Puzzle Difficulty by Shen and Sturtevant
Puzzle entropy uses information entropy with respect to player knowledge to measure the difficulty of a puzzle. The paper generalizes and refines this idea.
๐ Best Paper โ 2024
Generalized Entropy and Solution Information for Measuring Puzzle Difficulty by Shen and Sturtevant
Puzzle entropy uses information entropy with respect to player knowledge to measure the difficulty of a puzzle. The paper generalizes and refines this idea.
We are happy to welcome Kate Compton @galaxykate.bsky.social as a keynote speaker for AIIDE 2025. Her longtime personal mission is to bring small playful forms of AI to poets, artists, kids and weirdos.
21.10.2025 22:52 โ ๐ 17 ๐ 6 ๐ฌ 0 ๐ 1Workshop registration for AIIDE 2025 has been reopened! Thanks everyone for the patience while we sorted out logistics. Register for the joint EXAG and INT workshop using the link below!
๐https://sites.google.com/ualberta.ca/aiide2025/registration
๐ Best Paper โ 2023
There and Back Again: Extracting Formal Domains for Controllable Neurosymbolic Story Authoring by Kelly et al.
Language models create fluent narratives, while planning-based story generators offer control. This paper explores how to combine the best of both!
๐ Best Paper โ 2023
There and Back Again: Extracting Formal Domains for Controllable Neurosymbolic Story Authoring by Kelly et al.
Language models create fluent narratives, while planning-based story generators offer control. This paper explores how to combine the best of both!
๐ Best Paper โ 2022
Puck: A Slow and Personal Automated Game Designer by Michael Cook
The author outlines new goals for automated game design focused on users and communities. The result is Puck, an automated game design system with an exhaustive approach to content generation.
๐ Best Paper โ 2022
Puck: A Slow and Personal Automated Game Designer by Michael Cook
The author outlines new goals for automated game design focused on users and communities. The result is Puck, an automated game design system with an exhaustive approach to content generation.
The #AIIDE25 StarCraft AI competition submission deadline is fast approaching. Be sure to submit your work on time!
โฐ Submission deadline: October 19th
๐ More details: www.cs.mun.ca/~dchurchill/...
๐จ Due to a high number of sign-ups for the joint EXAG-INT workshop, weโve temporarily closed registration while we secure a larger venue. Stay tuned for updates!
15.10.2025 14:16 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0๐ Best Paper โ 2021
MappyLand: Fast, Accurate Mapping for Console Games by Osborn et al.
Game maps are useful for humans, game-playing agents, and content generation. Mappyland uses a variety of heuristics and algorithms to automatically generate accurate maps from example play.
๐ Best Paper โ 2021
MappyLand: Fast, Accurate Mapping for Console Games by Osborn et al.
Game maps are useful for humans, game-playing agents, and content generation. Mappyland uses a variety of heuristics and algorithms to automatically generate accurate maps from example play.
Find their bios and the keynote abstract here:
๐ sites.google.com/ualberta.ca/...
And make sure to register for AIIDE here:
๐ sites.google.com/ualberta.ca/...
AIIDE 2025 is fast approaching and itโs time to start announcing this yearโs keynote speakers! First up are Dr. Luke Dicken and Nadine Perez from Take-Two Interactive. In this session the Take-Two AI team will discuss how to put theory into practice.
06.10.2025 20:22 โ ๐ 1 ๐ 2 ๐ฌ 1 ๐ 2
๐ข One week left! Early bird registration rates are available until October 10th. Early registration is cheaper and helps us get things organized ๐พ
sites.google.com/ualberta.ca/...
๐ Best Paper โ 2020
โItโs Unwieldy and It Takes a Lot of Timeโ โChallenges and Opportunities for Creating Agents in Commercial Games by Jacob et al.
Game research should consider industry best practices; this paper interviews creators to identify challenges in making AI agents.
๐ Best Paper โ 2020
โItโs Unwieldy and It Takes a Lot of Timeโ โChallenges and Opportunities for Creating Agents in Commercial Games by Jacob et al.
Game research should consider industry best practices; this paper interviews creators to identify challenges in making AI agents.
๐ข #AIIDE25 schedule has been announced!
sites.google.com/ualberta.ca/...
โฐ Early registration ends Oct 10, Donโt miss out!
๐ Best Paper โ 2019
Macro Action Selection with Deep Reinforcement Learning in StarCraft by Xu et al.
To reduce the gap between human players and StarCraft bots, Xu et al. propose using a Deep Reinforcement Learning framework to select macro actions instead of predefined rules.
๐ Best Paper โ 2019
Macro Action Selection with Deep Reinforcement Learning in StarCraft by Xu et al.
To reduce the gap between human players and StarCraft bots, Xu et al. propose using a Deep Reinforcement Learning framework to select macro actions instead of predefined rules.
Early bird registration for AIIDE-25 is available until October 10th!
sites.google.com/ualberta.ca/...
๐ Best Paper โ 2018
CatSAT: A Practical, Embedded, SAT Language for Runtime PCG by Ian Douglas Horswill.
Runtime constraints can leave few resources available for constraint-based PCG in games. CatSAT is a solver designed with the reality of runtime resources in mind.
๐ Best Paper โ 2018
CatSAT: A Practical, Embedded, SAT Language for Runtime PCG by Ian Douglas Horswill.
Runtime constraints can leave few resources available for constraint-based PCG in games. CatSAT is a solver designed with the reality of runtime resources in mind.
