RoboGenius Team Description Paper Review and Develop a War Simulation Agent from AI Vision

Abbas Khosravi; Mohammad Kazem Farhadipour; Abdolreza Moghimi; Najme Roozmand

doi:10.4028/www.scientific.net/AMR.403-408.3555

Paper Titles

Simulation and Analysis of Nonlinear System Identification Using the LMS Volterra Filter
p.3528

Application of Artificial Neural Network in the Modeling of Skidding Time Prediction
p.3538

Modeling the Performance of an Industrial Process Based on Neural Networks and Data Mining
p.3544

A Novel Flow Meter Selection Method Based on Fuzzy Multiple Criteria Decision-Making
p.3548

RoboGenius Team Description Paper Review and Develop a War Simulation Agent from AI Vision
p.3555

Collision Avoidance in Unstructured Environments for Autonomous Robots: A Behavioural Modelling Approach
p.3559

Comparison of Artificial Neural Network Models and Multiple Linear Regression Models in Cargo Port Performance Prediction
p.3570

Design and Simulation of an Automatic Positioning System for Antennas Installed on Ships
p.3578

Automatic Electrocardiographic Analysis Using Artificial Neural Network Models
p.3587

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408RoboGenius Team Description Paper Review and...

RoboGenius Team Description Paper Review and Develop a War Simulation Agent from AI Vision

Abstract:

This article contains explanations on how to develop an intelligent agent in war simulation environment by RoboGenius team. The main Focus of the team is on artificial intelligence application in war simulation server [1]. For this purpose we used a combined base code part of which is related to Robotoos team and its general parts are related to UVA2003 in 2D soccer simulation [2]. In this article we analyze the environment from an intelligent agent view point rather than exploring software engineering issues. And, considering the kind of simulation environment we study exploring issues in this environment. Simulation environment has been considered as a semi-visible dynamic environment. Robot decision making problems and priority of its decisions have been explored and implemented by using the decision tree. For the problem of environment exploration in war simulation we have presented a new approach. Also, we have explored the possibility of using artificial intelligence in more developing war simulation agent.