Title : 
Neuro-visual control in the Quake II game engine
         
        
            Author : 
Parker, Matt ; Bryant, Bobby D.
         
        
            Author_Institution : 
Dept. of Comput. Sci. & Eng., Univ. of Nevada, Reno, NV
         
        
        
        
        
        
            Abstract : 
The first-person-shooter Quake II is used as a platform to test neuro-visual control and retina input layouts. Agents are trained to shoot a moving enemy as quickly as possible in a visually simple environment, using a neural network controller with evolved weights. Two retina layouts are tested, each with the same number of inputs: first, a graduated density retina which focuses near the center of the screen and blurs outward; second, a uniform retina which focuses evenly across the screen. Results show that the graduated density retina learns more successfully than the uniform retina.
         
        
            Keywords : 
computer games; neurocontrollers; Quake II game engine; neural network controller; neuro-visual control; retina input layouts; Artificial intelligence; Cameras; Computational modeling; Engines; Focusing; Humans; Neural networks; Retina; Sensor arrays; Testing;
         
        
        
        
            Conference_Titel : 
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
         
        
            Conference_Location : 
Hong Kong
         
        
        
            Print_ISBN : 
978-1-4244-1820-6
         
        
            Electronic_ISBN : 
1098-7576
         
        
        
            DOI : 
10.1109/IJCNN.2008.4634348