activity
20182024
most citedHuman-like Bots for Tactical Shooters Using Compute-Efficient Sensors

1 citations · 1 across the 1 of their papers we have counts for

collaborators

9 papers

cs.HC20241 cited

Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors

Niels Justesen, Maria Kaselimi, Sam Snodgrass +12

Artificial intelligence (AI) has enabled agents to master complex video games, from first-person shooters like Counter-Strike to real-time strategy games such as StarCraft II and r…

cs.AI2019

Automatic Critical Mechanic Discovery Using Playtraces in Video Games

Michael Cerny Green, Ahmed Khalifa, Gabriella A. B. Barros +2

We present a new method of automatic critical mechanic discovery for video games using a combination of game description parsing and playtrace information. This method is applied t…

cs.AI2019

Intentional Computational Level Design

Ahmed Khalifa, Michael Cerny Green, Gabriella Barros +1

The procedural generation of levels and content in video games is a challenging AI problem. Often such generation relies on an intelligent way of evaluating the content being gener…

cs.AI2018

DATA Agent

Michael Cerny Green, Gabriella A. B. Barros, Antonios Liapis +1

This paper introduces DATA Agent, a system which creates murder mystery adventures from open data. In the game, the player takes on the role of a detective tasked with finding the…

cs.AI2018

Generating Levels That Teach Mechanics

Michael Cerny Green, Ahmed Khalifa, Gabriella A. B. Barros +2

The automatic generation of game tutorials is a challenging AI problem. While it is possible to generate annotations and instructions that explain to the player how the game is pla…

cs.AI2018

AtDelfi: Automatically Designing Legible, Full Instructions For Games

Michael Cerny Green, Ahmed Khalifa, Gabriella A. B. Barros +3

This paper introduces a fully automatic method for generating video game tutorials. The AtDELFI system (AuTomatically DEsigning Legible, Full Instructions for games) was created to…