A major challenge in the field of AI is combining symbolic and statistical techniques. My dissertation work aims to bridge this gap in the domain of real-time strategy games.

From an AI point of view, Real-Time Strategy (RTS) games are hard because they have enormous state spaces, they are real-time and partially observable. In this paper, we explore an approach to deploy gametree search in RTS games by using game state abstraction, and explore the effect of using different abstractions over the game state. Different abstractions capture different parts of the game ...

The concept of Massively Multiplayer Games (MMG) recently has spread into all classical genres of real-time computer games. This paper summarizes our work on a novel proxy server-network topology which provides the required scalability to enable massive multiplayer gaming in the genres of First Person Shooter (FPS) and Real-Time Strategy (RTS) games. Besides scalability, i.e., the ability to ma...

From an AI point of view, Real-Time Strategy (RTS) games are hard because they have enormous state spaces, they are real-time and partially observable. In this paper, we explore an approach to deploy gametree search in RTS games by using game state abstraction, and explore the effect of using different abstractions over the game state. Different abstractions capture different parts of the game ...

Real-Time Strategy (RTS) video games have proven to be a very challenging application area for Artificial Intelligence research. Existing AI solutions are limited by vast state and action spaces and real-time constraints. Most implementations efficiently tackle various tactical or strategic sub-problems, but there is no single algorithm fast enough to be successfully applied to full RTS games. ...

Historically, real-time strategy video games, such as Starcraft (1999) and Command and Conquer (1995), were intended to be played on desktop or laptop computers, with interfaces that afford the user dozens of keys and key combinations, mouse gestures including clicking and dragging, and several mouse buttons to further complicate the interface while allowing customization and a wide range of po...

This paper uses neuroevolution of augmenting topologies to evolve control tactics for groups of units in realtime strategy games. In such games, players build economies to generate armies composed of multiple types of units with different attack and movement characteristics to combat each other. This paper evolves neural networks to control movement and attack commands, also called micro, for a...

game theory models decision makers' behaviors in strategic situations. since the structures of games are different, behavior and preferences of the players are different in various types of game. this paper reviews various situations of games. here, characteristics of some common games are discussed and compared. specifically, we focus on a group of games called symmetric games including p...