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The Chip Firing Game (CFG) is a discrete dynamical model used in physics, computer science and economics. It is known that the set of configurations reachable from an initial configuration (this set is called the configuration space) can be…

Combinatorics · Mathematics 2007-05-23 Clemence Magnien , Ha Duong Phan , Laurent Vuillon

In this paper we study three classes of models widely used in physics, computer science and social science: the Chip Firing Game, the Abelian Sandpile Model and the Chip Firing Game on a mutating graph. We study the set of configurations…

Combinatorics · Mathematics 2007-05-23 Clemence Magnien

For a finite index sublattice $L$ of the root lattice $A_{n}$, we construct a deterministic algorithm to deform the lattice ideal $I_L$ to a nearby generic lattice ideal, answering a question posed by Miller and Sturmfels. Our algorithm is…

Combinatorics · Mathematics 2015-08-19 Spencer Backman , Madhusudan Manjunath

In this paper, we study a famous discrete dynamical system, the Chip Firing Game, used as a model in physics, economics and computer science. We use order theory and show that the set of reachable states (i.e. the configuration space) of…

Cellular Automata and Lattice Gases · Physics 2009-10-31 M. Latapy , H. D. Phan

Graph data structures are fundamental for studying connected entities. With an increase in the number of applications where data is represented as graphs, the problem of graph generation has recently become a hot topic. However, despite its…

The celebrated Robinson-Schensted algorithm and each of its variants that have attracted substantial attention can be constructed using Fomin's "growth diagram" construction from a modular lattice that is also a weighted-differential poset.…

Combinatorics · Mathematics 2026-01-14 Dale R. Worley

Chip-firing is a combinatorial game played on an undirected graph in which we place chips on vertices. We study chip-firing on an infinite binary tree in which we add a self-loop to the root to ensure each vertex has degree 3. A vertex can…

Combinatorics · Mathematics 2024-10-02 Ryota Inagaki , Tanya Khovanova , Austin Luo

Recently, the emergence of large language models (LLMs) has unlocked new opportunities for procedural content generation. However, recent attempts mainly focus on level generation for specific games with defined game rules such as Super…

Artificial Intelligence · Computer Science 2024-05-31 Chengpeng Hu , Yunlong Zhao , Jialin Liu

In this note, we show that any distributive lattice is isomorphic to the set of reachable configurations of an Edge Firing Game. Together with the result of James Propp, saying that the set of reachable configurations of any Edge Firing…

Combinatorics · Mathematics 2007-07-13 Matthieu Latapy , Clemence Magnien

We introduce a natural variant of the parallel chip-firing game, called the diffusion game. Chips are initially assigned to vertices of a graph. At every step, all vertices simultaneously send one chip to each neighbour with fewer chips. As…

Discrete Mathematics · Computer Science 2023-06-22 C. Duffy , T. F. Lidbetter , M. E. Messinger , R. J. Nowakowski

In this paper, we study the dynamics of sand grains falling in sand piles. Usually sand piles are characterized by a decreasing integer partition and grain moves are described in terms of transitions between such partitions. We study here…

Combinatorics · Mathematics 2007-05-23 Eric Goles , Michel Morvan , Ha Duong Phan

LWF chain graphs combine directed acyclic graphs and undirected graphs. We present a PC-like algorithm that finds the structure of chain graphs under the faithfulness assumption to resolve the problem of scalability of the proposed…

Artificial Intelligence · Computer Science 2020-05-29 Mohammad Ali Javidian , Marco Valtorta , Pooyan Jamshidi

We provide a characterization of upper locally distributive lattices (ULD-lattices) in terms of edge colorings of their cover graphs. In many instances where a set of combinatorial objects carries the order structure of a lattice this…

Combinatorics · Mathematics 2008-07-09 S. Felsner , K. Knauer

Procedural Content Generation (PCG) is defined as the automatic creation of game content using algorithms. PCG has a long history in both the game industry and the academic world. It can increase player engagement and ease the work of game…

Artificial Intelligence · Computer Science 2025-02-06 Mahdi Farrokhi Maleki , Richard Zhao

This paper provides effective methods for the polyhedral formulation of impartial finite combinatorial games as lattice games. Given a rational strategy for a lattice game, a polynomial time algorithm is presented to decide (i) whether a…

Combinatorics · Mathematics 2011-05-30 Alan Guo , Ezra Miller

Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. In this context, the conventional factor graphs are referred…

Artificial Intelligence · Computer Science 2012-07-19 Yongyi Mao , Frank Kschischang , Brendan J. Frey

We construct a family of one-dimensional (1D) quantum lattice models based on $G$-graded unitary fusion category $\mathcal{C}_G$. This family realize an interpolation between the anyon-chain models and edge models of 2D symmetry-protected…

Strongly Correlated Electrons · Physics 2023-01-18 Shang-Qiang Ning , Bin-Bin Mao , Chenjie Wang

In recent years, Procedural Level Generation via Machine Learning (PLGML) techniques have been applied to generate game levels with machine learning. These approaches rely on human-annotated representations of game levels. Creating…

Machine Learning · Computer Science 2021-10-08 Mrunal Jadhav , Matthew Guzdial

Levels are a key component of many different video games, and a large body of work has been produced on how to procedurally generate game levels. Recently, Machine Learning techniques have been applied to video game level generation towards…

Human-Computer Interaction · Computer Science 2016-07-05 Adam James Summerville , Sam Snodgrass , Michael Mateas , Santiago Ontañón

Machine learning has been a popular tool in many different fields, including procedural content generation. However, procedural content generation via machine learning (PCGML) approaches can struggle with controllability and coherence. In…

Machine Learning · Computer Science 2021-07-28 Kynan Sorochan , Jerry Chen , Yakun Yu , Matthew Guzdial
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