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102. A Practical introduction to the Ludii General Game System

Author

Browne, Cameron, Browne, Cameron, Stephenson, Matthew, Piette, Eric, Soemers, Dennis, Browne, Cameron, Browne, Cameron, Stephenson, Matthew, Piette, Eric, and Soemers, Dennis

Abstract

Ludii is a new general game system, currently under development, which aims to support a wider range of games than existing systems and approaches. It is being developed primarily for the task of game design, but offers a number of other potential benefits for game and AI researchers, professionals and hobbyists. This paper is based on an interactive demonstration of Ludii at thuis year’s Advances in Computer Games conference (ACG 2019). It describes the approach behind Ludii, how it works, how it is used, and what it can potentially do.

Published
2019

103. Strategic Features for General Games

Author

Browne, Cameron, Browne, Cameron, Soemers, Dennis, Piette, Eric, Browne, Cameron, Browne, Cameron, Soemers, Dennis, and Piette, Eric

Abstract

This short paper describes an ongoing research project that requires the automated self-play learning and evaluation of a large number of board games in digital form.We describe the approach we are taking to determine relevant features, for biasing MCTS playouts for arbitrary games played on arbitrary geometries. Benefits of our approach include efficient implementation, the potential to transfer learnt knowledge to new contexts, and the potential to explain strategic knowledge embedded in features in human-comprehensible terms.

Published
2019

104. Digital Archaeoludology

Author

Browne, Cameron, Browne, Cameron, Piette, Eric, Browne, Cameron, Browne, Cameron, and Piette, Eric

Abstract

The Digital Ludeme Project will produce a “family tree” of the world’s traditional games, with which the dispersal of games and related mathematical ideas might be traced throughout recorded history. This will pioneer a new field of study called Digital Archaeoludology (DA) which involves the use of modern computational techniques for the analysis and reconstruction of traditional games from incomplete descriptions, to provide new tools and techniques for improving our understanding of their development.

Published
2019

105. Heuristic Sampling for Fast Plausible Playouts

Author

Browne, Cameron, Barbero, Fabio, RS: FSE DACS, Dept. of Advanced Computing Sciences, and RS: FSE DACS Mathematics Centre Maastricht

Subjects
Ludii, AI, SEARCH, Board Games, Game Length
Abstract

This paper proposes Heuristic Sampling (HS) for generating self-play trials for games with a defined state evaluation function, with speeds comparable to random playouts but game length estimates comparable to those produced by intelligent AI agents. HS produces plausible results up to thousands of times faster than more rigorous methods.

Published
2021

106. Everything's a Ludeme Well, Almost Everything

Author

Browne, Cameron and Berry, Vincent

Subjects
[SHS] Humanities and Social Sciences
Abstract

While the notion of the ludeme as a fundamental element of play appears to be widely accepted, its exact interpretation can vary with each individual practitioner. This paper explores the key properties of ludemes and existing models within which they are understood, and describes how a computational approach might help clarify what is and what is not a ludeme and ultimately lead to a more precise definition of this evasive term.

Published
2021

110. Digital Ludeme Project Database Guide

Author

Stephenson, Matthew, Crist III, Walter, Browne, Cameron, Dep. of Advanced Computing Sciences, RS: FSE DACS, and RS: FSE DACS Mathematics Centre Maastricht

Abstract

This document outlines the types of data collected for the Digital Ludeme Project – how it is collected, how it is formatted, how it is stored, and how it can be accessed – with special reference to the FAIR Guiding Principles for scientific data management and stewardship.

Published
2020

130. SARS-CoV-2 shifting transmission dynamics and hidden reservoirs limited the efficacy of public health interventions in Italy

Author

Giovanetti, Marta, primary, Cella, Eleonora, additional, Benedetti, Francesca, additional, Magalis, Brittany Rife, additional, Fonseca, Vagner, additional, Fabris, Silvia, additional, Campisi, Giovanni, additional, Ciccozzi, Alessandra, additional, Angeletti, Silvia, additional, Borsetti, Alessandra, additional, Tambone, Vittoradolfo, additional, Sagnelli, Caterina, additional, Pascarella, Stefano, additional, Riva, Alberto, additional, Ceccarelli, Giancarlo, additional, Marcello, Alessandro, additional, Azarian, Taj, additional, Wilkinson, Eduan, additional, de Oliveira, Tulio, additional, Junior Alcantara, Luiz Carlos, additional, Cauda, Roberto, additional, Caruso, Arnaldo, additional, Dean, Natalie E, additional, Browne, Cameron, additional, Lourenco, Jose, additional, Salemi, Marco, additional, Zella, Davide, additional, and Ciccozzi, Massimo, additional

Published
2020
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137. Report on the 2nd Digital Ludeme Project Workshop.

Author

Browne, Cameron, Piette, Éric, Crist, Walter, Stephenson, Matthew, and Soemers, Dennis J.N.J.

Subjects
*DEEP learning, *REINFORCEMENT learning, *RULES of games, *DICE games
Abstract

The 2 SP nd sp Digital Ludeme Project (DLP) Workshop, on the topic of I Game AI Applications for Historical Games Research i , was held at Maastricht University's Department of Data Science and Knowledge Engineering (DKE) over 11-14 April 2022. Day 4: Game AI in Ludii The fourth day of the Workshop involved talks and discussions on the AI methods used to play and evaluate games in Ludii. This included, but was not limited to, using the important amount of game data that Ludii can generate to create portfolio approaches, how to unify all game AI techniques, and the potential of recent new AI techniques using deep learning for Ludii. In this year, for the first time, students could opt to implement the game in Ludii and write agents based on Ludii's API for AI development, as an alternative to implementing the game and agent from scratch. [Extracted from the article]

Published
2022
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138. Ludii -- The Ludemic General Game System

Author

Piette, Éric, Soemers, Dennis J. N. J., Stephenson, Matthew, Sironi, Chiara F., Winands, Mark H. M., Browne, Cameron, and Piette, Eric

Subjects
FOS: Computer and information sciences, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, ComputingMilieux_PERSONALCOMPUTING, [INFO] Computer Science [cs]
Abstract

While current General Game Playing (GGP) systems facilitate useful research in Artificial Intelligence (AI) for game-playing, they are often somewhat specialised and computationally inefficient. In this paper, we describe the "ludemic" general game system Ludii, which has the potential to provide an efficient tool for AI researchers as well as game designers, historians, educators and practitioners in related fields. Ludii defines games as structures of ludemes -- high-level, easily understandable game concepts -- which allows for concise and human-understandable game descriptions. We formally describe Ludii and outline its main benefits: generality, extensibility, understandability and efficiency. Experimentally, Ludii outperforms one of the most efficient Game Description Language (GDL) reasoners, based on a propositional network, in all games available in the Tiltyard GGP repository. Moreover, Ludii is also competitive in terms of performance with the more recently proposed Regular Boardgames (RBG) system, and has various advantages in qualitative aspects such as generality., Comment: Accepted at ECAI 2020

Published
2020

139. Computers and games (CG 2022) conference report.

Author

Browne, Cameron, Kishimoto, Akihiro, and Schaeffer, Jonathan

Subjects
*REINFORCEMENT learning, *GAMES, *MULTIPLAYER games, *COMPUTERS
Abstract

The I Computers and Games i conference alternates annually with the I Advances in Computer Games i conference. Contrary to those who think that working on game AI is a thing of the past, a convincing argument was given that there are many interesting and important game AI challenges for our community to work on. 5. The HT 11th ht I Computers and Games i conference (CG 2022) was held online last year, November 22-24. [Extracted from the article]

Published
2022
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