The Emergic Network (or EN) is an “artificial neural” network architecture that abandons traditional neural oversimplifications and facilitates an Emergic Approach to design that harnesses emergence by explicitly encoding the interactions among multiple flows of information.
Note: that while an Emergic Network unit can correspond to an actual neuron, the Emergic Network is not a network of neurons, and each unit can correspond to an arbitrary domain of analysis, as low as quantum mechanics if desired, up to social groupings. That is why “neural” is in quotes. Indeed a single unit is Turing complete and could simulate an entire artificial neural network.
- Leibovitz, D. P. (2013). A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture. (Order No. NR94549, Carleton University (Canada)). ProQuest Dissertations and Theses, pp. xxxii-459. Retrieved from http://search.proquest.com/docview/1437103134?accountid=9894. (1437103134). [doi: 10.13140/RG.2.1.2681.6482]
- Leibovitz, D. P., & West, R. L. (2012) Cognitive Re-Use via Emergic Networks. In N. Rußwinkel, U. Drewitz, & H. van Rijn (Eds.), Proceedings of the 11th International Conference on Cognitive Modeling (ICCM 2012), pp. 72–73. [doi: 10.13140/RG.2.1.3562.9282]
- Leibovitz, D. P., & West, R. L. (2012). Cognitive Re-Use via Emergic Networks. Poster presented at the 11th International Conference on Cognitive Modeling (ICCM 2012), pp. 1-12. Berlin, Germany. [doi: 10.13140/RG.2.1.4218.2884]
- Leibovitz, D. P. (2011) Emergic Network. Published as open sourced code. Retrieved September 7, 2015 from http://emergic.upwize.com/?page_id=6.