activity
20182024
most citedGenerative Design in Minecraft (GDMC), Settlement Generation Competition

40 citations · 76 across the 11 of their papers we have counts for

collaborators

15 papers

cs.NE2024

Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata Ecosystems

Aidan Barbieux, Rodrigo Canaan

This paper presents Coralai, a framework for exploring diverse ecosystems of Neural Cellular Automata (NCA). Organisms in Coralai utilize modular, GPU-accelerated Taichi kernels to…

cs.NE2023

EINCASM: Emergent Intelligence in Neural Cellular Automaton Slime Molds

Aidan Barbieux, Rodrigo Canaan

This paper presents EINCASM, a prototype system employing a novel framework for studying emergent intelligence in organisms resembling slime molds. EINCASM evolves neural cellular…

cs.OH2021

Impressions of the GDMC AI Settlement Generation Challenge in Minecraft

Christoph Salge, Claus Aranha, Adrian Brightmoore +15

The GDMC AI settlement generation challenge is a PCG competition about producing an algorithm that can create an "interesting" Minecraft settlement for a given map. This paper cont…

cs.AI2021

The AI Settlement Generation Challenge in Minecraft: First Year Report

Christoph Salge, Michael Cerny Green, Rodrigo Canaan +6

This article outlines what we learned from the first year of the AI Settlement Generation Competition in Minecraft, a competition about producing AI programs that can generate inte…

cs.AI2021

Game Mechanic Alignment Theory and Discovery

Michael Cerny Green, Ahmed Khalifa, Philip Bontrager +2

We present a new concept called Game Mechanic Alignment theory as a way to organize game mechanics through the lens of systemic rewards and agential motivations. By disentangling p…

cs.AI2020★ 4 cited

Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners

Rodrigo Canaan, Xianbo Gao, Youjin Chung +3

Hanabi is a cooperative game that challenges exist-ing AI techniques due to its focus on modeling the mental states ofother players to interpret and predict their behavior. While t…

cs.AI2020★ 5 cited

Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi

Rodrigo Canaan, Xianbo Gao, Julian Togelius +2

Hanabi is a cooperative game that brings the problem of modeling other players to the forefront. In this game, coordinated groups of players can leverage pre-established convention…

cs.AI2019

Diverse Agents for Ad-Hoc Cooperation in Hanabi

Rodrigo Canaan, Julian Togelius, Andy Nealen +1

In complex scenarios where a model of other actors is necessary to predict and interpret their actions, it is often desirable that the model works well with a wide variety of previ…

cs.AI2019

Evolving the Hearthstone Meta

Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee +3

Balancing an ever growing strategic game of high complexity, such as Hearthstone is a complex task. The target of making strategies diverse and customizable results in a delicate i…

cs.AI2019★ 7 cited

Generative Design in Minecraft: Chronicle Challenge

Christoph Salge, Christian Guckelsberger, Michael Cerny Green +2

We introduce the Chronicle Challenge as an optional addition to the Settlement Generation Challenge in Minecraft. One of the foci of the overall competition is adaptive procedural…

cs.AI2019★ 20 cited

Leveling the Playing Field -- Fairness in AI Versus Human Game Benchmarks

Rodrigo Canaan, Christoph Salge, Julian Togelius +1

From the beginning if the history of AI, there has been interest in games as a platform of research. As the field developed, human-level competence in complex games became a target…

cs.AI2018

Evolving Agents for the Hanabi 2018 CIG Competition

Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado +3

Hanabi is a cooperative card game with hidden information that has won important awards in the industry and received some recent academic attention. A two-track competition of agen…

cs.AI2018

Towards Game-based Metrics for Computational Co-creativity

Rodrigo Canaan, Stefan Menzel, Julian Togelius +1

We propose the following question: what game-like interactive system would provide a good environment for measuring the impact and success of a co-creative, cooperative agent? Crea…

cs.AI2018

Accelerating Empowerment Computation with UCT Tree Search

Christoph Salge, Christian Guckelsberger, Rodrigo Canaan +1

Models of intrinsic motivation present an important means to produce sensible behaviour in the absence of extrinsic rewards. Applications in video games are varied, and range from…

cs.AI2018★ 40 cited

Generative Design in Minecraft (GDMC), Settlement Generation Competition

Christoph Salge, Michael Cerny Green, Rodrigo Canaan +1

This paper introduces the settlement generation competition for Minecraft, the first part of the Generative Design in Minecraft challenge. The settlement generation competition is…