Ensoul: A framework for the creation of self organizing intelligent ultra low power systems (SOULS) through evolutionary enerstatic networks
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Abstract (arXiv)
Ensoul is a framework proposed for the purpose of creating technologies that create more technologies through the combined use of networks, and nests, of energy homeostatic (enerstatic) loops and open-ended evolutionary techniques. Generative technologies developed by such an approach serve as both simple, yet insightful models of thermodynamically driven complex systems and as powerful sources of novel technologies. "Self Organizing intelligent Ultra Low power Systems" (SOULS) is a term that well describes the technologies produced by such a generative technology, as well as the generative technology itself. The term is meant to capture the abstract nature of such technologies as being independent of the substrate in which they are embedded. In other words, SOULS can be biological, artificial or hybrid in form.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 85 references that are in the map. First posted on arXiv 26 Apr 2023.
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References · 8
- 2018A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progresscited by 298
- 2022Evolution through Large Modelscited by 134
- 2020Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutionscited by 106
- 2022The free energy principle made simpler but not too simplecited by 27
- 2021Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and mindscited by 25
- 2015Properties of Sparse Distributed Representations and their Application to Hierarchical Temporal Memorycited by 14
- 2021A free energy principle for generic quantum systemscited by 5
- 2013Input-output relations in biological systems: measurement, information and the Hill equationcited by 4
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