Skip to content

citations

Clifford Bohm edited this page Jan 31, 2019 · 4 revisions

This page contains a list of publications which have used MABE.

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 [email protected]: 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 [email protected]: 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 [email protected]: 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.

Clone this wiki locally