Adaptive AI Engine for RTS Games

Discussing the theory and practice

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Adaptation Adversarial Planning AI Code Activities AI Code Class Diagaram AI research Automated Planning BosWars Care Representation Case-Based Planning Case-Based Reasoning Case-Based Tactiton Case Adaptation Case retrieval CAT CBP CBP Architecture CBR CHEF planner Darmok David W. Aha Dependency Graph features selection Function Approximation Heuristically Accelerated Reinforcement Learning Heuristics Hierarchial Reinforcement Learning HTN I-Strategizer Kariem learning linkedin Opponent Modeling Planner Architecture Planning Research Agenda RTS RTS games Santi Situation Assessment Spatial Reasoning Temporal Responing
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Project Members
- Ahmad Atta
- Ogail
- ferasferas
- Magdy Medhat
- merothehero
- MHesham
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About

This blog is about a graduation project for students from Computer Science, Ain Shams University, Egypt. Project mainly aims to enhance AI opponent of of RTS (Real-Time Strategy) Games. Find here latest information we got, current project situations and implementation feeds. Any comments or suggestions are welcomed

2 Responses to “About”

Maxim said

November 12, 2010 at 2:24 pm
This is nice site. I am doing planning research myself, but in other area, will surely come back often.

Reply
- ZiKaS said
  
  November 12, 2010 at 2:49 pm
  You are welcome Maxim 🙂
  
  Reply

Adaptive AI Engine for RTS Games

Discussing the theory and practice

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2 Responses to “About”

Maxim said

ZiKaS said

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