Modification of Game Agent using Genetic Algorithm in Card Battle game
نویسندگان
چکیده
منابع مشابه
Investigation of Game Between Cells in Occurrence of Genetic Mutations Using Evolutionary Game Theory
In this paper, two games that play a role in creating a cancer tumor and suppression are studied using evolutionary game theory and its different modes are analyzed. The first game is the competition between a cancer cell and a healthy cell to receive food through the blood. In the second game, the interaction between the two oncogenes Ras and Myc is examined for cellular deformation
متن کاملusing game theory techniques in self-organizing maps training
شبکه خود سازمانده پرکاربردترین شبکه عصبی برای انجام خوشه بندی و کوانتیزه نمودن برداری است. از زمان معرفی این شبکه تاکنون، از این روش در مسائل مختلف در حوزه های گوناگون استفاده و توسعه ها و بهبودهای متعددی برای آن ارائه شده است. شبکه خودسازمانده از تعدادی سلول برای تخمین تابع توزیع الگوهای ورودی در فضای چندبعدی استفاده می کند. احتمال وجود سلول مرده مشکلی اساسی در الگوریتم شبکه خودسازمانده به حسا...
A reinforcement learning scheme for a multi-agent card game
We formulate an automatic strategy acquisition problem for the multi-agent card game “Hearts” as a reinforcement learning (RL) problem. Since there are often a lot of unobservable cards in this game, RL is approximately dealt with in the framework of a partially observable Markov decision process (POMDP). This article presents a POMDP-RL method based on estimation of unobservable state variable...
متن کاملGenetic Algorithm Learning in Game Playing
The aim of this paper is to describe utilization of genetic algorithms for strategy evolution. In order to speed up the evolution process we have empowered our genetic algorithm by a kind of macromutation operator that is known to genetic programming community as so called headless chicken crossover. This approach has been tested on a game of Nim and our results are quite promising. We have man...
متن کاملUsing Genetic Algorithm to Solve Game of Go-Moku
Genetic algorithm is a stochastic parallel beam search that can be applied to many typical search problems. This paper describes a genetic algorithmic approach to a problem in artificial intelligence. During the process of evolution, the environment cooperates with the population by continuously making itself friendlier so as to lower the evolutionary pressure. Evaluations show the performance ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2021
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/1098/6/062011