Evolutionary Computation as a Form of Organization

>The Free Knowledge Exchange (FKE) project introduces the concept of evolutionary knowledge management based on concepts of GA. It used a human-based genetic algorithm (HBGA) for the task of collaborative solving of problems expressed in natural language (Kosoruko , 2000a). It was created in 1997 for a small organization with the goal of promoting success of each member through new forms of cooperation based on better knowledge management.

Human genetic based algorithms pave the way for evolutionary self organizing architectures. These architectures can be social, political, economic, or physical.

The idea is that user preferences are tracked in real time by the smart architecture itself. The smart architecture then uses this feedback to continuously evolve the organization.

>The idea of human interaction came from interactive genetic algorithms (IGA) that introduced human evaluation interfaces in evolutionary computation. Human-based genetic algorithm (HBGA) usedin FKE is basically an IGA combined with human-based innovation interfaces (crossover and mutation).

What is smart architecture?

One way to grasp the concept of smart architecture is to understand the concept of interactive generative art. This kind of artwork evolves according to how you interact with it. In the case of music, the song will evolve based on it's interaction with the crowd. In the case of visual art, the visuals will evolve based on how the crowd is interacting with it. In the case we can look at WeaveSilk to have an example. To put it in other words, interactive generative art is an evolving pattern which evolves according to how you interact with it. A plantoid could also be considered autopoietic art in that it's a kind of living art and Primavera De Filippi is currently experimenting with that concept. The key for an evolving architecture which responds to the preferences of it's participants is to have feedback.

Smart architecture could be software architecture for example, or it could be a hybrid of software and physical infrastructure such as what you could have with a smart home. In a smart home for example if the home had the capability to measure your temperature with it's sensors for instance, the home itself could always guarantee a comfortable temperature for you. Even better, if the home could learn our preferences such as what foods you like to buy when you go shopping, what level of lightening you like, what music you like, then over time it could evolve to fit your preferences.

The concept of Evolutionary Computation as a Form of Organization will be discussed more in future postings within the context of how a distributed autonomous virtual state can utilize evolutionary computation to become a self optimizing system.

References

Coello, C. A. C. (2010). List of references on constraint-handling techniques used with evolutionary algorithms. Power, 80(10), 1286-1292.

Kosorukoff, A., & Goldberg, D. E. (2002, July). Evolutionary Computation As A Form Of Organization. In GECCO (Vol. 2002, pp. 965-972).

PLANTOID – by PRIMAVERA DE FILIPPI, DAVID BOVILL, VINCENT ROUDAUT AND SARA RENAUD – STWST48. (n.d.). Retrieved July, 2016, from http://projects.stwst.at/stwst48/plantoid-by-primavera-de-filippi-david-bovill-vincent-roudaut-and-sara-renaud/

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