Del 818 i serien Communications in Computer and Information Science

Computer Games

6th Workshop, CGW 2017, Held in Conjunction with the 26th International Conference on Artificial Intelligence, IJCAI 2017, Melbourne, VIC, Australia, August, 20, 2017, Revised Selected Papers

Häftad, Engelska, 2018

AvTristan Cazenave,Mark H.M. Winands,Abdallah Saffidine

729 kr

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This book constitutes revised selected papers from the 6th Workshop on Computer Games, CGW 2017, held in conjunction with the 26th International Conference on Artificial Intelligence, IJCAI 2017, in Melbourne, Australia, in August 2017. The 12 full papers presented in this volume were carefully reviewed and selected from 18 submissions. They cover a wide range of topics related to computer games; discussing six abstract games: Chinese Checkers, Chinese Dark Chess, Hex, Othello, Poker, and SameGame.

Produktinformation

Utgivningsdatum2018-02-15
Mått155 x 235 x 12 mm
Vikt318 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor191
FörlagSpringer International Publishing AG
ISBN9783319759302

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Hårdvara inom Data och IT
Artificiell intelligens inom Data och IT
Människa – datorinteraktion inom Data och IT

Atari Games and Intel Processors.- Computer Hex Algorithm using a Move Evaluation Method based on a Convolutional Neural Network.- Deep Preference Neural Network for Move Prediction in Board Games.- Deep Reinforcement Learning with Hidden Layers on Future States.- Neural Fictitious Self-Play in Imperfect Information Games with Many Players.- On-line Parameter Tuning for Monte-Carlo Tree Search in General Game Playing.- Memorizing the Playout Policy.- Distributed Nested Rollout Policy for SameGame.- A Study of Forward versus Backwards Endgame Solvers with Results in Chinese Checkers.- Validating and Fine-tuning of Game Evaluation Functions using Endgame Databases.- Applying Anytime Heuristic Search to Cost-Optimal HTN Planning.- A Game for Eliciting Trust between People and Devices under Diverse Performance Conditions.