General Game Heuristic Prediction Based on Ludeme Descriptions

05/26/2021
by   Matthew Stephenson, et al.
0

This paper investigates the performance of different general-game-playing heuristics for games in the Ludii general game system. Based on these results, we train several regression learning models to predict the performance of these heuristics based on each game's description file. We also provide a condensed analysis of the games available in Ludii, and the different ludemes that define them.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/13/2019

Ludii - The ludemic General Game System

While current General Game Playing (GGP) systems facilitate useful resea...
research
11/04/2021

Optimised Playout Implementations for the Ludii General Game System

This paper describes three different optimised implementations of playou...
research
09/01/2020

Modelling risk-taking behaviour of avalanche accident victims

Each year, over 15000 requests for mountain rescue are counted in France...
research
03/29/2019

A Local Approach to Forward Model Learning: Results on the Game of Life Game

This paper investigates the effect of learning a forward model on the pe...
research
03/06/2019

Forensics Analysis of Xbox One Game Console

Games console devices have been designed to be an entertainment system. ...
research
10/03/2021

Towards General Models of Player Experience: A Study Within Genres

To which degree can abstract gameplay metrics capture the player experie...
research
02/28/2018

Investigating Human Priors for Playing Video Games

What makes humans so good at solving seemingly complex video games? Unli...

Please sign up or login with your details

Forgot password? Click here to reset