Adaptive Intelligent agent in real-time strategy games
description
Transcript of Adaptive Intelligent agent in real-time strategy games
PROJECT MEMBERS
Omar Enayet
Amr Saqr
Ahmed Atta
Abdelrahman Al-Ogail
Dr. Mostafa Aref
Dr. Ibrahim Fathy
AGENDA Problem Definition
Theoretical Areas of Problem. Project Domain. Specific Problem Definition.
Motivations. Objectives. Project Background
Survey & Approach. Domain Platform. AI Engine Architecture.
Expected Deliverables. Development Tools. Project Time Plan. Web Resources & References.
WHY THIS DOMAIN
Rich Environment.Severe Time Constraints – Real-Time AI – Many Objects – Imperfect
Information – Micro-Actions
WHY THIS DOMAIN
Wars SimulationResearch in this field contributes to the modern warfare Research.
Half of The USA’s Army will be robots in the coming years.
SURVEY
Recent PapersWe Collected more than 30 papers concerning this field, different in their way of approaching the problem and the techniques used to
solve the problem. Examples of them are above ^
•Adaptive Reinforcement Learning Agents in RTS Games •Case-based planning and execution for real-time strategy games.•Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
SURVEY
Reference BookThe Book “AI Game Engine Programming” talks about the drawbacks
in learning and planning in RTS Games.
PROJECT TIME PLAN
Specifying project problem
Survey on recent research
Building background in general Game AI
Searching for open-source platform
Developing UML of BosWars
Building background on Machine Learning techniques
Developing a framework for each technique
Integrating techniques within platform
Testing
Documentation
1-Sep-09 21-Oct-09 10-Dec-09 29-Jan-10 20-Mar-10 9-May-10
EXPECTED DELIVERABLES
Enhanced AI EngineAn AI Engine which makes the computer behavior in the game as
human as possible.
EXPECTED DELIVERABLES
Experimental ResultsComparison of the results of the enhanced AI Engine with ordinary
static AI.
Visual Studio 2008 Professional Edition
2APL Environment C++ Libraries : Boost, Guichan ..etc.
DEVELOPMENT TOOLS
Project Blog : http://rtsairesearch.wordpress.com/
SVN Repository : https://mzrtaiengine.googlecode.com/svn/trunk/
WEB RESOURCES
Book : AI Game Engine Programming Book : Artificial Intelligence for Games The Most Important Papers/Theses :
Thanks
REFERENCES
•Eric Kok - Adaptive Reinforcement Learning Agents in RTS Games –– Master Thesis – University of Utrecht - 2008•Santi Onta˜n´on, Kinshuk Mishra, Neha Sugandh, and Ashwin Ram. Case-basedplanning and execution for real-time strategy games. In Proceedings of ICCBR - 2007 - 2007•Manu Sharma, Michael Holmes, Juan Carlos Santamaria, Arya Irani, Charles Lee Isbell Jr., Ashwin Ram: Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL. IJCAI 2007: 1041-1046