Edmund Ronald

Edmund M. A. Ronald is a computer scientist known for contributions to evolutionary computation, neuroevolution, and artificial life. He co-pioneered the NeuroGenetic approach to neural network training and developed an influential operational definition of emergence.

Career

Ronald was a researcher at the Centre de Mathématiques Appliquées (CMAP) at École Polytechnique in Palaiseau, France, and an affiliate of the Logic Systems Laboratory at EPFL in Lausanne, Switzerland.[1][2] He worked at the International Color Consortium.[3]

Research

Neuroevolution

In 1994, Ronald and Marc Schoenauer pioneered the use of genetic algorithms to evolve neural network weights, a technique now called "NeuroGenetic."[1] This work demonstrated that evolutionary methods could train neural networks without labeled training data, using evolution as unsupervised learning.[4]

Emergence test

Ronald's most cited work, "Design, Observation, Surprise! A Test of Emergence" (1999), co-authored with Moshe Sipper and Mathieu S. Capcarrère, proposed an operational definition of emergence based on three criteria: design, observation, and surprise.[5] The paper was republished in Emergence: Contemporary Readings in Philosophy and Science (MIT Press, 2008).[6]

Artificial Evolution conference

Ronald co-founded the Artificial Evolution conference in 1994 with Jean-Marc Alliot, Evelyne Lutton, and Marc Schoenauer, establishing a forum for French-speaking evolutionary computation research.

Selected publications

  • Schoenauer, M.; Ronald, E. (1994). "Neuro-genetic truck backer-upper controller". Proceedings of the First IEEE Conference on Evolutionary Computation: 720–723. doi:10.1109/ICEC.1994.349948.
  • Ronald, E.; Schoenauer, M. (1994). "Genetic lander: An experiment in accurate neuro-genetic control". Parallel Problem Solving from Nature — PPSN III. Lecture Notes in Computer Science. Vol. 866. Springer. pp. 452–461. doi:10.1007/3-540-58484-6.
  • Ronald, E.M.A. (1995). "When selection meets seduction". Proceedings of the 6th International Conference on Genetic Algorithms. Morgan Kaufmann. pp. 167–173.
  • Sipper, M.; Capcarrère, M.S.; Ronald, E. (1998). "A Simple Cellular Automaton that Solves the Density and Ordering Problems". International Journal of Modern Physics C. 9 (7): 899–902. doi:10.1142/S0129183198000868.
  • de Garis, H.; Kang, L.; He, Q.; Pan, Z.; Ootani, M.; Ronald, E. (1998). "Million module neural systems evolution: The next step in ATR's billion neuron artificial brain ("CAM-Brain") project". Artificial Evolution. Lecture Notes in Computer Science. Vol. 1363. Springer. pp. 335–347. doi:10.1007/BFb0026629.
  • Ronald, E.M.A.; Sipper, M.; Capcarrère, M.S. (1999). "Design, Observation, Surprise! A Test of Emergence". Artificial Life. 5 (3): 225–239. doi:10.1162/106454699568755.
  • Sipper, M.; Ronald, E.M.A. (2000). "A new species of hardware". IEEE Spectrum. 37 (3): 59–64. doi:10.1109/6.825661.
  • Ronald, E.M.A.; Sipper, M. (2000). "What use is a Turing chatterbox?". Communications of the ACM. 43 (10): 21–23. doi:10.1145/352183.352195.
  • Ronald, E.M.A.; Sipper, M. (2000). "Engineering, emergent engineering, and artificial life: Unsurprise, unsurprising surprise, and surprising surprise". Artificial Life VII: Proceedings of the Seventh International Conference on Artificial Life. MIT Press. pp. 523–528.
  • Ronald, E.M.A.; Sipper, M. (2001). "Surprise versus Unsurprise: Implications of Emergence in Robotics". Robotics and Autonomous Systems. 37 (1): 19–24. doi:10.1016/S0921-8890(01)00148-2.
  • Ronald, E.M.A.; Sipper, M. (2001). "Intelligence is not enough: On the socialization of talking machines". Minds and Machines. 11 (4): 567–576. doi:10.1023/A:1011226920298.

Edited volumes

  • Alliot, J.M.; Lutton, E.; Ronald, E.; Schoenauer, M.; Snyers, D., eds. (1996). Artificial Evolution: AE'95. Lecture Notes in Computer Science. Vol. 1063. Springer.
  • Hao, J.K.; Lutton, E.; Ronald, E.; Schoenauer, M.; Snyers, D., eds. (1998). Artificial Evolution: AE'97. Lecture Notes in Computer Science. Vol. 1363. Springer.
  • Fonlupt, C.; Hao, J.K.; Lutton, E.; Ronald, E.; Schoenauer, M., eds. (2000). Artificial Evolution: 4th European Conference, AE'99. Lecture Notes in Computer Science. Vol. 1829. Springer.

References

  1. ^ a b Ronald, E.; Schoenauer, M. (1994). "Genetic lander: An experiment in accurate neuro-genetic control". Parallel Problem Solving from Nature — PPSN III. Lecture Notes in Computer Science. Vol. 866. Springer. pp. 452–461.
  2. ^ Ronald, E.M.A.; Sipper, M.; Capcarrère, M.S. (1999). "Testing for Emergence in Artificial Life". Advances in Artificial Life (ECAL 1999). Lecture Notes in Computer Science. Vol. 1674. Springer. pp. 13–20.
  3. ^ "ICC_Profile Tags". ExifTool. Retrieved 2025-12-17. ManuSig Values: 'RNLD' = Edmund Ronald
  4. ^ Bergel, A. (2020). "Neuroevolution". Agile Artificial Intelligence in Pharo.
  5. ^ Ronald, E.M.A.; Sipper, M.; Capcarrère, M.S. (1999). "Design, Observation, Surprise! A Test of Emergence". Artificial Life. 5 (3). MIT Press: 225–239. doi:10.1162/106454699568755.
  6. ^ Bedau, M.A.; Humphreys, P., eds. (2008). "Design, Observation, Surprise! A Test of Emergence". Emergence: Contemporary Readings in Philosophy and Science. MIT Press.
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