Constructing complex npc behavior via multi-objective neuroevolution

Proceedings of the 4th Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2008

Volumn , Issue , 2008, Pages 108-113

  Schrum, Jacob ^a   Miikkulainen, Risto ^a  

^a University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EFFECTIVE BEHAVIORS; EVOLUTIONARY METHOD; FITNESS FUNCTIONS; GAME PLAYING; MULTI OBJECTIVE; MULTI-MODAL; NEURO EVOLUTIONS; SINGLE OBJECTIVE;

HUMAN COMPUTER INTERACTION; MULTIOBJECTIVE OPTIMIZATION;

ARTIFICIAL INTELLIGENCE;

EID: 71549137550     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Babbar, M.; Lakshmikantha, A.; and Goldberg, D. E. 2003. A modified NSGA-II to solve noisy multiobjective problems. GECCO 21-27.
2. Back, T.; Hoffmeister, F.; and Schwefel, H.-P. 1991. A survey of evolution strategies. ICGA 2-9.
3. Coello, C. A. C. 1999. A comprehensive survey of evolutionarybased multiobjective optimization techniques. KAIS 129-156.
4. Deb, K.; Agrawal, S.; Pratab, A.; and Meyarivan, T. 2000. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi- Objective Optimization: NSGA-II. PPSN 849-858.
5. D'Silva, T.; Janik, R.; Chrien, M.; Stanley, K. O.; and Miikkulainen, R. 2005. Retaining learned behavior during real-Time neuroevolution. AIIDE 39-44.
6. Fogel, D. B. 2002. Blondie24: Playing at the edge of AI. San Francisco, CA, USA: Morgan Kaufmann.
7. Frank, S. A. 1994. Genetics of mutualism: The evolution of altruism between species. Journal of Theoretical Biology.
8. Gomez, F., and Miikkulainen, R. 1997. Incremental Evolution of Complex General Behavior. Adapt. Behav. 5:317-342.
9. Jong, E. D.; Watson, R.; and Pollack, J. 2001. Reducing bloat and promoting diversity using multi-objective methods. GECCO.
10. Klein, J. 2003. BREVE: A 3D environment for the simulation of decentralized systems and artificial life. ALIFE 329-334.
11. Nolfi, S.; Parisi, D.; and Elman, J. L. 1994. Learning and evolution in neural networks. Adapt. Behav. 3(1):5-28.
12. Stanley, K. O., and Miikkulainen, R. 2002. Evolving neural networks through augmenting topologies. Evol. Comput. 99-127.
13. Stanley, K.; Bryant, B.; and Miikkulainen, R. 2003. Evolving adaptive neural networks with and without adaptive synapses. CEC 4:2557-2564.
14. Stanley, K. O.; Bryant, B. D.; and Miikkulainen, R. 2005. Evolving neural network agents in the NERO video game. CIG.
15. Tamaki, H.; Kita, H.; and Kobayashi, S. 1996. Multi-objective optimization by genetic algorithms: A review. Evol. Comput.
16. Yau, Y. J.; Teo, J.; and Anthony, P. 2007. Pareto Evolution and Co-evolution in Cognitive Game AI Synthesis. EMO 227-241.
17. Yong, C. H., and Miikkulainen, R. 2007. Cooperative coevolution of multi-Agent systems. Technical Report AI07-338, University of Texas at Austin.