With growing interest in Procedural Content Generation (PCG) it becomes
...
We examine the effect of noise on societies of agents using an agent-bas...
Procedural content generation for games is a growing trend in both resea...
We consider multi-agent reinforcement learning (MARL) for cooperative
co...
The GDMC AI settlement generation challenge is a PCG competition about
p...
There are a range of metrics that can be applied to the artifacts produc...
This article outlines what we learned from the first year of the AI
Sett...
Live Action Role-Playing (LARP) games and similar experiences are becomi...
A solid methodology to understand human perception and preferences in
hu...
A challenge in using fully autonomous robots in human-robot interaction ...
Deep reinforcement learning has learned to play many games well, but fai...
This paper presents a method for generating floor plans for structures i...
At the 2017 Artificial and Computational Intelligence in Games meeting a...
Automatic generation of level maps is a popular form of automatic conten...
We introduce the Chronicle Challenge as an optional addition to the
Sett...
In this paper we present a fully autonomous and intrinsically motivated ...
From the beginning if the history of AI, there has been interest in game...
This paper introduces an information-theoretic method for selecting a sm...
Active inference is an ambitious theory that treats perception, inferenc...
Creating Non-Player Characters (NPCs) that can react robustly to unfores...
Models of intrinsic motivation present an important means to produce sen...
This paper introduces the settlement generation competition for Minecraf...
One aspect of intelligence is the ability to restructure your own enviro...