Chess Game at the FDA

The Game of Chess

Learning to Play the Game of Chess

This paper presents NeuroChess, a program which learns to play chess from the final outcome of games. NeuroChess learns chess board evaluation functions, represented by artificial neural networks. It integrates inductive neural network learning, temporal differencing, and a variant of explanation-based learning. Performance results illustrate some of the strengths and weaknesses of this approach.

Chess Game System on Smart Mobile Terminal

Under the background that traditional Chinese culture needs to be carried forward, the author of this paper, combined with Unity3D game engine, introduces a self-developing Chinese chess game based on Android mobile platform and discusses the basic structure and core mechanics of this game system. Technologies like data transmission in the LAN, Shader of Unity3D, and touch-screen control are ad...

(Re)telling chess stories as game content

Procedural story generation is an active and increasingly important area of interactive entertainment. Some of the most difficult challenges with the concept are generation and managing of dramatic elements with high degree of variation that are both internally consistent and entertaining. If an authoring system could access a large repository of proven sets of domain specific dramatic action s...

Combinatorial game theory in chess endgames

It was already noted in [WW, p.16] that combinatorial game theory (CGT) does not apply directly to chess because the winner of a chess game is in general not determined by who makes the last move, and indeed a game may be neither won nor lost at all but drawn by infinite play. Still, CGT has been effectively applied to other games such as Dots-and-Boxes and Go which are not combinatorial games ...