Computers and Games

13th International Conference, CG 2026, Maastricht, The Netherlands, June 19–20, 2026, Revised Selected Papers
Erscheinungsjahr 2027
ISBN: 978-3-032-45359-4
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

This book constitutes the refereed proceedings of the 13th International Conference on Computers and Games, CG 2026, held as a Maastricht, The Netherlands, during June 19–20, 2026.

The 16 full papers included in this book were carefully reviewed and selected from 25 submissions. They are organized in the following topical sections:  Game Analysis; Machine Learning in Games; Search and Solving; Imperfect-Information and Card Games.

Zielgruppe

Research

Autoren/Hrsg.

Soemers, Dennis J. N. J.

Piette, Éric

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung

Inhaltsverzeichnis

.- What Can We Learn about AGI from Game AI.

.- Outer-Learning Framework for Playing Multi-Player Trick-Taking Card Games .

.- WallZero: Mastering the Game of WallGo with Strategic Analysis.

.- Building a Large-Scale Open-Source Benchmark Dataset for Computer Chinese Chess.

.- Deterministic FEN-Based Chess Complexity: A Present-State Descriptor and 
Reproducible Cohort Analysis.

.- For How Long Should We Be Punching? Learning Action Duration in Fighting Games.

.- Inter-Subjective Gravity: Predicting Synchronization Depth in Asymmetric Interactions.

.- Tri-Othello: A Study of a Hybrid 3-player Search Algorithm Using Stability and Locality 
Evaluation.

.- Scaling and Validating Set-Based Retrograde Analysis.

.- FairKalah Without Empty Captures.

.- Valet: A Standardized Testbed of Traditional Imperfect-Information Card Games.

.- Generalized Rapid Action Value Estimation in Memory-Constrained Environments.

.- Intuitive Deception Complexity: Quantifying Decision Difficulty in Shogi Positions.

.- Extracting Knowledge in Deep Learning Models for Riichi Mahjong.

.- Value-Only and Policy-Guided Search in 2048.

.- StratFormer: Adaptive Opponent Modeling and Exploitation in Imperfect-Information 
Games.

.- Evaluating LLM Capacity for Game State Assessment in RTS Games.