→ The Future of Artificial Intelligence is Self-Organizing and Self-Assembling ←
Definition: Self-organization
“A process in which pattern at the global level of a system emerges solely from numerous interactions among the lower level components of the system. Moreover the rules specifying interactions among the system’s components are executed using only local information, without reference to the global pattern. In short pattern is an emergent property of the system rather than being imposed on the system by an external ordering influence.“ - Camazine et al. (2001)
Properties of self-organizing systems.
Self-organizing systems are made out of many components that are highly interconnected. The absence of any centralized control allows them to quickly adjust to new stimuli and changing environmental conditions. Additionally, because these collective intelligence systems are made of many simpler individuals, they have in-built redundancy with a high degree of resilience and robustness. Individuals in this collective system can fail, without the overall system breaking down.
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To construct a building, architects first make a specific plan that shows the intended outcome. There is a hierarchy of commands to the people carrying out the work such as laying bricks, painting, etc. On the other hand, in biological construction, there is no clearly defined blueprint that shows the final structure. Instead, our genes contain the information to make the structure by controlling a sequence of events during morphogenesis.
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References
The universal principles of self-organization and the unity of Nature and knowledge
https://distill.pub/2020/selforg/mnist/
some related papers
- Towards Self-Assembling Artificial Neural Networks through Neural Developmental Programs
- Self-organization of multi-layer spiking neural networks.pdf
- self-organizing-network HYPERNCA GROWING DEVELOPMENTAL NETWORKS WITH NEURAL CELLULAR AUTOMATA.pdf
- Learning to Control Self-Assembling Morphologies - A Study of Generalization via Modularity