Format:
1 Online-Ressource(XIII, 181 p. 89 illus., 46 illus. in color.)
Edition:
1st ed. 2020.
ISBN:
9783030658830
Series Statement:
Theoretical Computer Science and General Issues 12516
Content:
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.
Content:
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.
Additional Edition:
ISBN 9783030658823
Additional Edition:
ISBN 9783030658847
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783030658823
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783030658847
Language:
English
DOI:
10.1007/978-3-030-65883-0
