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Down to page [NCSA Mosaic users only]
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Another element of our task was to establish and model environments which could simulate, influence and interact with evolving models.
We thus embarked on a series of experiments in using physical models as input devices. These were assembled with electronic components embedded in them and plugs and sockets to connect to them both physically and electronically.



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Environment and mutant selection
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Environment and mutant selection
Natural ecosystems have complex biological structures. They recycle their materials, permit change and adaptation, and make efficient use of ambient energy. By contrast, most man-made and built environments have incomplete and simple structures. They do not recycle their materials, are not adaptable, and they waste energy. An ecological approach to architecture does not necessarily imply replicating natural ecosystems, but the general principles of interaction with the environment are directly applicable.
Our model derives order from its environment and is controlled by a symbiotic relationship with its inhabitants and that environment.
We are proposing an alternative methodology whereby the model is adapted iteratively in the computer in response to feedback from the evaluation.
Environmental factors affect the development of the genetic code and the selection of successful mutants.





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Hierarchies and recursion
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Hierarchies and recursion
The model is organised using a multiple hierarchical approach and a datastructure which is recursively self-similar. The simulated environment in which evaluation takes place is modelled in exactly the same terms as the evolving structures. The environment and the structure not only evolve in the same dataspace, but can co-evolve, and competitive structures may also evolve in the same space. The environment, which in this case includes user-response, is modelled with virtual societies. The environment has a significant effect on the epigenetic development of the seed.





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Modelling the environment
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Modelling the environment
The environment in which the cellular development takes place is modelled in the same datastructure as the cells. That is to say, the environmental components, including site, climate, users and cultural context, are all viewed as being logical states in isospace and are modelled in the same manner. Dynamic systems such as turbulent air movement can also be modelled in the same space by dividing the coding of the space state into a state and a vector. Based on a quantum continuum, this model raises the possibility of co-evolving some aspects of the environment leading to a Gaia-like interdependence.




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