AIIDE
@aiide.bsky.social
Official account of the AAAI conference on Artificial Intelligence and Interactive Digital Entertainment
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AIIDE
@aiide.bsky.social
· Jun 30
AIIDE 2025 - Registration
sites.google.com
Registration is now open for #AIIDE25 👾! Come join us in Edmonton this coming November.
🔗 sites.google.com/ualberta.ca/...
🔗 sites.google.com/ualberta.ca/...
For those who couldn't make it to Edmonton, Emily Halina is live-posting paper sessions!
Looking forward to seeing friends and colleagues in Edmonton this week for AIIDE! I'll be trying my hand at live tweeting the paper sessions at both the main conference and EXAG/INT, which I'll try to keep in this big reply thread (starting off tomorrow). @aiide.bsky.social @exag.bsky.social
November 11, 2025 at 2:59 AM
For those who couldn't make it to Edmonton, Emily Halina is live-posting paper sessions!
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 🍱
@artificial-agency.bsky.social ) behaviour engine, presented by Chris Entwistle.
A box lunch will be provided for this last-day lunch keynote 🍱
November 7, 2025 at 6:33 PM
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 🍱
@artificial-agency.bsky.social ) behaviour engine, presented by Chris Entwistle.
A box lunch will be provided for this last-day lunch keynote 🍱
If you’re 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...
Welcome Event separate registration: aaaiforms.wufoo.com/forms/aiide2...
Poster/Demo Session separate registration: aaaiforms.wufoo.com/forms/aiide2...
November 1, 2025 at 6:42 PM
If you’re 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...
Welcome Event separate registration: aaaiforms.wufoo.com/forms/aiide2...
Poster/Demo Session separate registration: aaaiforms.wufoo.com/forms/aiide2...
AIIDE´25 features a keynote by Dr. Jonathan Schaeffer, 50 year veteran in the field who will share valuable lessons from his career.
October 27, 2025 at 6:53 PM
AIIDE´25 features a keynote by Dr. Jonathan Schaeffer, 50 year veteran in the field who will share valuable lessons from his career.
Reposted by AIIDE
🏆 Best Paper – 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.
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.
October 27, 2025 at 6:46 PM
🏆 Best Paper – 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.
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.
October 21, 2025 at 10:52 PM
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.
Workshop 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!
🔗https://sites.google.com/ualberta.ca/aiide2025/registration
🔗https://sites.google.com/ualberta.ca/aiide2025/registration
October 21, 2025 at 10:33 PM
Workshop 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!
🔗https://sites.google.com/ualberta.ca/aiide2025/registration
🔗https://sites.google.com/ualberta.ca/aiide2025/registration
Reposted by AIIDE
🏆 Best Paper – 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!
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!
October 21, 2025 at 10:24 PM
🏆 Best Paper – 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!
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!
Reposted by AIIDE
🏆 Best Paper – 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.
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.
October 21, 2025 at 10:23 PM
🏆 Best Paper – 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.
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!
⏰ Submission deadline: October 19th
🔍 More details: www.cs.mun.ca/~dchurchill/...
⏰ Submission deadline: October 19th
🔍 More details: www.cs.mun.ca/~dchurchill/...
StarCraft AI Competition
www.cs.mun.ca
October 17, 2025 at 12:54 AM
The #AIIDE25 StarCraft AI competition submission deadline is fast approaching. Be sure to submit your work on time!
⏰ Submission deadline: October 19th
🔍 More details: www.cs.mun.ca/~dchurchill/...
⏰ Submission deadline: October 19th
🔍 More details: www.cs.mun.ca/~dchurchill/...
🚨 Due to a high number of sign-ups for the joint EXAG-INT workshop, we’ve temporarily closed registration while we secure a larger venue. Stay tuned for updates!
October 15, 2025 at 2:16 PM
🚨 Due to a high number of sign-ups for the joint EXAG-INT workshop, we’ve temporarily closed registration while we secure a larger venue. Stay tuned for updates!
Reposted by AIIDE
🏆 Best Paper – 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.
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.
October 12, 2025 at 12:34 AM
🏆 Best Paper – 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.
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.
AIIDE 2025 is fast approaching and it’s time to start announcing this year’s 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.
October 6, 2025 at 8:22 PM
AIIDE 2025 is fast approaching and it’s time to start announcing this year’s 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.
📢 One week left! Early bird registration rates are available until October 10th. Early registration is cheaper and helps us get things organized 👾
sites.google.com/ualberta.ca/...
sites.google.com/ualberta.ca/...
AIIDE 2025 - Registration
sites.google.com
October 3, 2025 at 6:49 PM
📢 One week left! Early bird registration rates are available until October 10th. Early registration is cheaper and helps us get things organized 👾
sites.google.com/ualberta.ca/...
sites.google.com/ualberta.ca/...
Reposted by AIIDE
🏆 Best Paper – 2020
“It’s Unwieldy and It Takes a Lot of Time” —Challenges 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.
“It’s Unwieldy and It Takes a Lot of Time” —Challenges 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.
September 29, 2025 at 6:23 PM
🏆 Best Paper – 2020
“It’s Unwieldy and It Takes a Lot of Time” —Challenges 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.
“It’s Unwieldy and It Takes a Lot of Time” —Challenges 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.
📢 #AIIDE25 schedule has been announced!
sites.google.com/ualberta.ca/...
⏰ Early registration ends Oct 10, Don’t miss out!
sites.google.com/ualberta.ca/...
⏰ Early registration ends Oct 10, Don’t miss out!
AIIDE 2025 - Schedule
Full digital program in-progress
sites.google.com
September 25, 2025 at 9:20 PM
📢 #AIIDE25 schedule has been announced!
sites.google.com/ualberta.ca/...
⏰ Early registration ends Oct 10, Don’t miss out!
sites.google.com/ualberta.ca/...
⏰ Early registration ends Oct 10, Don’t miss out!
Reposted by AIIDE
🏆 Best Paper – 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.
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.
September 23, 2025 at 9:20 PM
🏆 Best Paper – 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.
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/...
sites.google.com/ualberta.ca/...
AIIDE 2025 - Registration
sites.google.com
September 22, 2025 at 7:22 PM
Early bird registration for AIIDE-25 is available until October 10th!
sites.google.com/ualberta.ca/...
sites.google.com/ualberta.ca/...
Reposted by AIIDE
🏆 Best Paper – 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.
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.
September 17, 2025 at 12:28 AM
🏆 Best Paper – 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.
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.
Reposted by AIIDE
🏆 Best Paper – 2017
Memory Bounded Monte Carlo Tree Search by Powley et al.
Information Set MCTS is a modification on MCTS for environments with imperfect information. In this paper, Powley et al. study memory bounding for this algorithm and implement it in a commercial game.
Memory Bounded Monte Carlo Tree Search by Powley et al.
Information Set MCTS is a modification on MCTS for environments with imperfect information. In this paper, Powley et al. study memory bounding for this algorithm and implement it in a commercial game.
September 10, 2025 at 10:03 PM
🏆 Best Paper – 2017
Memory Bounded Monte Carlo Tree Search by Powley et al.
Information Set MCTS is a modification on MCTS for environments with imperfect information. In this paper, Powley et al. study memory bounding for this algorithm and implement it in a commercial game.
Memory Bounded Monte Carlo Tree Search by Powley et al.
Information Set MCTS is a modification on MCTS for environments with imperfect information. In this paper, Powley et al. study memory bounding for this algorithm and implement it in a commercial game.
📢 The deadline for submitting proposals to host the next AAAI Conference on Interactive Digital Entertainment (AIIDE 2026) has been extended!
📅 Proposals are now due Sep 19, 2025
🔍 More info here: sites.google.com/ualberta.ca/...
📅 Proposals are now due Sep 19, 2025
🔍 More info here: sites.google.com/ualberta.ca/...
September 9, 2025 at 2:51 AM
📢 The deadline for submitting proposals to host the next AAAI Conference on Interactive Digital Entertainment (AIIDE 2026) has been extended!
📅 Proposals are now due Sep 19, 2025
🔍 More info here: sites.google.com/ualberta.ca/...
📅 Proposals are now due Sep 19, 2025
🔍 More info here: sites.google.com/ualberta.ca/...
Reposted by AIIDE
🏆 Best Paper – 2016
Combining Gameplay Data with Monte CarloTree Search to Emulate Human Play by Devlin et al.
In collaboration with game developers, the authors improve MCTS by biasing decisions based on player data, making the agent more human-like without losing performance.
Combining Gameplay Data with Monte CarloTree Search to Emulate Human Play by Devlin et al.
In collaboration with game developers, the authors improve MCTS by biasing decisions based on player data, making the agent more human-like without losing performance.
September 4, 2025 at 2:18 AM
🏆 Best Paper – 2016
Combining Gameplay Data with Monte CarloTree Search to Emulate Human Play by Devlin et al.
In collaboration with game developers, the authors improve MCTS by biasing decisions based on player data, making the agent more human-like without losing performance.
Combining Gameplay Data with Monte CarloTree Search to Emulate Human Play by Devlin et al.
In collaboration with game developers, the authors improve MCTS by biasing decisions based on player data, making the agent more human-like without losing performance.
Reposted by AIIDE
🏆 Best Paper – 2015
Predicting Purchase Decisions in Mobile Free-to-Play Games by Sifa et al.
Understanding who is most likely to make purchases in a freemium mobile game is important for many reasons, and Sifa et al. proposed the first regression model to address this problem.
Predicting Purchase Decisions in Mobile Free-to-Play Games by Sifa et al.
Understanding who is most likely to make purchases in a freemium mobile game is important for many reasons, and Sifa et al. proposed the first regression model to address this problem.
August 26, 2025 at 7:11 PM
🏆 Best Paper – 2015
Predicting Purchase Decisions in Mobile Free-to-Play Games by Sifa et al.
Understanding who is most likely to make purchases in a freemium mobile game is important for many reasons, and Sifa et al. proposed the first regression model to address this problem.
Predicting Purchase Decisions in Mobile Free-to-Play Games by Sifa et al.
Understanding who is most likely to make purchases in a freemium mobile game is important for many reasons, and Sifa et al. proposed the first regression model to address this problem.
Reposted by AIIDE
🏆 Best Paper–2014
Spice It Up! Enriching Open World NPC Simulation Using Constraint Satisfaction
By Černý et al.
Meaningful NPC interactions make games feel alive! This paper presents a constraint satisfaction method to apply pre-scripted interactions in open-world environments.
Spice It Up! Enriching Open World NPC Simulation Using Constraint Satisfaction
By Černý et al.
Meaningful NPC interactions make games feel alive! This paper presents a constraint satisfaction method to apply pre-scripted interactions in open-world environments.
August 20, 2025 at 12:57 AM
🏆 Best Paper–2014
Spice It Up! Enriching Open World NPC Simulation Using Constraint Satisfaction
By Černý et al.
Meaningful NPC interactions make games feel alive! This paper presents a constraint satisfaction method to apply pre-scripted interactions in open-world environments.
Spice It Up! Enriching Open World NPC Simulation Using Constraint Satisfaction
By Černý et al.
Meaningful NPC interactions make games feel alive! This paper presents a constraint satisfaction method to apply pre-scripted interactions in open-world environments.
Reposted by AIIDE
🏆 Best Paper – 2013
The Combinatorial Multi-Armed Bandit Problem and its Application to Real-Time Strategy Games by Santiago Ontañón
The branching factor of some games makes MCTS unsuitable - until you try some of these alternative sampling strategies!
The Combinatorial Multi-Armed Bandit Problem and its Application to Real-Time Strategy Games by Santiago Ontañón
The branching factor of some games makes MCTS unsuitable - until you try some of these alternative sampling strategies!
August 11, 2025 at 7:28 PM
🏆 Best Paper – 2013
The Combinatorial Multi-Armed Bandit Problem and its Application to Real-Time Strategy Games by Santiago Ontañón
The branching factor of some games makes MCTS unsuitable - until you try some of these alternative sampling strategies!
The Combinatorial Multi-Armed Bandit Problem and its Application to Real-Time Strategy Games by Santiago Ontañón
The branching factor of some games makes MCTS unsuitable - until you try some of these alternative sampling strategies!