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This page was last updated on 1/31/2019.
[1] Ortiz, A., Bradler, K., & Hintze, A. (2018). Episode forecasting in bipolar disorder: Is energy better than mood? Bipolar disorders.
[2] Schossau, J. D. (2017). Evolution of Decision-Making Systems. Michigan State University.
[3] Sheneman, L., & Hintze, A. (2017). Evolving autonomous learning in cognitive networks. Scientific reports, 7(1), 16712.
[4] Fischer, D., Mostaghim, S., & Albantakis, L. (2018). How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task. arXiv preprint arXiv:1804.08940.
[5] Bohm, C., C G, N., & Hintze, A. (2017, September). MABE (Modular Agent Based Evolver): A framework for digital evolution research. In Proceedings of the European Conference on Artificial Life 14 (Vol. 14, pp. 76-83). One Rogers Street, Cambridge, MA 02142-1209 USA journals-info@mit.edu: MIT Press.
[6] Sheneman, L., & Hintze, A. (2017). Machine Learned Learning Machines. arXiv preprint arXiv:1705.10201.
[7] Hoffmann, L.S., & Mostaghim, S. (2018). Multi-objective optimisation for evaluation of collective machine consciousness.
[8] Schossau, J., & Hintze, A. (2018, July). Neuronal Variation as a Cognitive Evolutionary Adaptation. In Artificial Life Conference Proceedings (pp. 57-58). One Rogers Street, Cambridge, MA 02142-1209 USA journals-info@mit.edu: MIT Press.
[9] Kvam, P. D., & Hintze, A. (2018). Rewards, risks, and reaching the right strategy: Evolutionary paths from heuristics to optimal decisions. Evolutionary Behavioral Sciences, 12(3), 177.
[10] Lundrigan, B., Smale, L., & Hintze, A. (2018, July). The effect of periodic changes in the fitness landscape on brain structure and function. In Artificial Life Conference Proceedings (pp. 469-476). One Rogers Street, Cambridge, MA 02142-1209 USA journals-info@mit.edu: MIT Press.
[11] Hintze, A., Schossau, J., & Bohm, C. (2019). The evolutionary Buffet method. In Genetic Programming Theory and Practice XVI (pp. 17-36). Springer, Cham.
[12] Hintze, A., Kirkpatrick, D., & Adami, C. (2018). The structure of evolved representations across different substrates for artificial intelligence. arXiv preprint arXiv:1804.01660.
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