Advances in Computer Games

This book constitutes the refereed post-conference proceedings of the 16th International Conference on Advances in Computer Games, ACG 2019, held in Macao, China, in August 2019.

The 12 full papers presented together with 2 invited papers were carefully reviewed and selected from 19 submissions. The selected papers are devoted to topics such as cooperation; single player games; mathematical approaches; nonogram: general and specific approaches; and deep learning.

Inhalt
Advice are useful for game AI : Experiments with alpha-beta search players in shogi.- Reducing Partner's Cognitive Load by Estimating the Level of Understanding in the Cooperative Game Hanabi.- Making a Better Game: The History of Cluster.- Improving Human Players' T-Spin Technique in Tetris with Procedural Problem Generation.- A Further Investigation of Neural Network Players for Game 2048.- A Novel Application for Game Tree Search - Exploiting Pruning Mechanisms for Quantified Integer Programs.- New Hex Patterns for Fill and Prune.- Solving Cram using Combinatorial Game Theory.- Exploiting Game Decompositions in Monte Carlo Tree Search.- On Efficiency of Fully Probing Mechanisms in Nonogram Solving Algorithm.- Net2Net Extension for the AlphaGo Zero Algorithm.- Designing policy network with deep learning in turn-based strategy games.- Steps towards Strongly Solving 7x7 Chinese Checkers.- The Ludii General Game System: Interactive Demonstration.