Neuro-evolution in Zero-Sum Perfect Information Games on the Android OS

1. A. Narayek, Intelligent Agents for Computer Games, Computers and Games Second International Conference, (2000), 414-42210.1007/3-540-45579-5_28Search in Google Scholar

2. C. Kumar and D. Fogel, Evolution, neural networks, games, and Intelligence, Proceedings of the IEEE volume 87 Issue 9, (2000), 1471-1496.10.1109/5.784222Search in Google Scholar

3. M. Buckland, AI Techniques For Game Programming, Premier Press, (2006), 480.Search in Google Scholar

4. K. Stanley, Efficient Evolution of Neural Networks through Complexification, Department of Computer Science University of Texas, 2004.Search in Google Scholar

5. M. van der Heijden, S. Bakkes, and P. Spronck, Dynamic formations in realtime strategy games, Proceeding of the IEEE Symposium on Computational Intelligence, (2008), 47-54.10.1109/CIG.2008.5035620Search in Google Scholar

6. J. DiMarzio, Android A Programmers Guide, McGraw-Hill Osborne Media first edition, (2008), 400.Search in Google Scholar

7. A. Agogino, L. Stanely, and R. Miikkulainen, Online Interactive Neuroevolution, Neural Processing Letters, (1999), 100-109.Search in Google Scholar

8. D. Fogel, Mind Games - Evolving a Checkers Player Without Relying on Human Experties, ACM - Intelligence New Visions of AI in Practice, 11, 2, 2000.Search in Google Scholar

9. J. Schrum, Neuro-Evolution in Multi-Player Pente, <http://www.cs.utexas.edu/(tilde)schrum2/>, 2006.Search in Google Scholar

10. L. V. Allis, H. J. van den Herik, and M. P. H. Huntjens, Go-Moku and Threat-Space Search, Departement of Computer Science University of Limburg, 1993.Search in Google Scholar

11. Jerome J.F. DiMarzino, Android A Programmers Guid, McGraw-Hill Osborne Media, First Edition, (July 2008), 400.Search in Google Scholar

12. Vladimir Silva, Pro Android Games, Apress, First Edition, (2008), 300.Search in Google Scholar

13. Tom Schaul and Jurgen Schmibhuber, A Scalable Neural Network Architecture for Board Games, 2007.10.1109/CIG.2008.5035662Search in Google Scholar

14. M. Gruttner, F. Sehnke, T. Schaul, and J. Schmidhuber, Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients, 2008.Search in Google Scholar

15. C. Fahey, Neural network with learning by backward error propagation, www.colinfahey.com <http://www.colinfahey.com>, 2004.Search in Google Scholar

16. T. Schaul and J. Schmidhuber, A Scalable Neural Network Architecture for Board Games, Proceedings of the IEEE Symposium on Computational Intelligence in Games, (2008), 324-334.10.1109/CIG.2008.5035662Search in Google Scholar

17. M. Buro, Real-time strategy games: A new AI research challenge, Proceedings of the International Joint Conference on AI, (2003), 485-486Search in Google Scholar

18. K. O. Stanley, B. D. Bryant, I. Karpov, and R. Miikkulainen, Real-time evolution of neural networks in the NERO video game, Proceedings of the Twenty- First National Conference on Artificial Intelligence, (2008), 302-314.Search in Google Scholar

19. A. Shantia, E. Begue, and M. Wiering, Connectionist Reinforcement Learning for Intelligent Unit Micro Management in StarCraft, International Joint Conference on Neural Networks, (2011), 234-246. 10.1109/IJCNN.2011.6033442Search in Google Scholar