<--- Back to Details
First PageDocument Content
Tic-tac-toe / Strategy-stealing argument / Qubic / Solved game / Achi / Determinacy / Positional game / M / n / k-game / Hales–Jewett theorem / Games / Abstract strategy games / Mathematical games
Date: 2005-07-08 01:58:21
Tic-tac-toe
Strategy-stealing argument
Qubic
Solved game
Achi
Determinacy
Positional game
M
n
k-game
Hales–Jewett theorem
Games
Abstract strategy games
Mathematical games

Add to Reading List

Source URL: www.austms.org.au

Download Document from Source Website

File Size: 719,71 KB

Share Document on Facebook

Similar Documents

A Cooperative Network Game Efficiently Solved via an Ant Colony Optimization Approach Pablo Romero1 , Franco Robledo1 Pablo Rodr´ıguez-Bocca1 , Dar´ıo Padula1 , and Mar´ıa Elisa Bertinat1 Facultad de Ingenier´ıa,

DocID: 1suGU - View Document

Game artificial intelligence / Search algorithms / Combinatorial game theory / Proof-number search / Abstract strategy games / Andor tree / Alphabeta pruning / Game tree / Solved game / Tree / B-tree / Computer chess

Paranoid Proof-Number Search Jahn-Takeshi Saito and Mark H.M. Winands Abstract— Over the years, an increasing number of twoplayer games has been added to the list of solved games. However, solving multi-player games ha

DocID: 1nyos - View Document

Game theory / Academia / Abstraction / Mathematics / Solved game / Mathematical game / Computational complexity theory / Mathematical problem / Nash equilibrium / Regression analysis / Extensive-form game

Using Regret Estimation to Solve Games Compactly

DocID: 1nsR0 - View Document

Complexity classes / Game artificial intelligence / Pathfinding / Motion planning / Multi-agent system / P / Algorithm / Combinatorial optimization / Theoretical computer science / Applied mathematics / Mathematics

Non-optimal Multi-Agent Pathfinding is Solved (SinceGabriele R¨oger and Malte Helmert University of Basel, Switzerland {gabriele.roeger,malte.helmert}@unibas.ch Abstract

DocID: 18VVZ - View Document

Games / Pathfinding / Fifteen puzzle / Applied mathematics / NP-complete problems / Mathematics / Game artificial intelligence

Non-optimal Multi-Agent Pathfinding is Solved (SinceGabriele R¨oger and Malte Helmert University of Basel, Switzerland {gabriele.roeger,malte.helmert}@unibas.ch Abstract

DocID: 18j94 - View Document