Abstract
The intention of this chapter is to formulate initial premises for the successful realization of massively scaled processing of empirical data, and this by way of carefully relating data to its various model representations. We will focus on a multilayered processing structure we refer to as AQUARIUM. This is based on a data-dependent implementation, in which the processor architecture, data and control all disappear in the absence of real-time environmental interactions, thus mirroring those of a dead organism. Modelling and representation of external stimuli is addressed, and the implementation of reductionist decision-making based on an internal model of the environment is described. Correctness probabilities are addressed, leading to an overall multi-scaled query-reflection processing architecture. New-data integration and query-propagation slowing down are described, as is the appearance of a communication limit, related to the restriction in the velocity of light. Configuration of the processor as an organism is proposed.
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Notes
- 1.
Gordon Higginson: private communication .
- 2.
Emilie Cottam: private communication .
- 3.
In a panel discussion concluding the conference Einstein Meets Magritte, Vrije Universiteit Brussel, Brussels, Belgium, 1995.
References
Belz, A. (2007). Automatic generation of weather forecast texts using comprehensive probabilistic generation-space models. Natural Language Engineering, 1, 1–26.
Ford, J. (1983). How random is a coin toss? Physics Today, 36, 40–47.
French, R. M. (1999). Catastrophic forgetting in connectionist networks. Trends in Cognitive Sciences, 3, 128–135.
Heisenberg, W. (1927). Über den anschaulichen Inhalt der quantentheoretischen Kinematik und Mechanik. Zeitschrift fur Physik, 43, 172–198.
Kuhn, T. (1978). Black-body theory and the quantum discontinuity, 1894–1912. Oxford: Clarendon Press.
Langloh, N., Cottam, R., Vounckx, R., & Cornelis, J. (1993). Towards distributed statistical processing—aquarium: A query and reflection interaction using magic: Mathematical algorithms generating interdependent confidences. In S. D. Smith & R. F. Neale (Eds.), ESPRIT basic research series, optical information technology (pp. 303–319). Berlin: Springer.
LeDoux, J. E. (1994). Emotion, memory and the brain. Scientific American, 270, 32–39.
Mittelstaedt, P., Prieur, A., & Schieder, R. (1987). Unsharp particle-wave duality in a photon split beam experiment. Foundations of Physics, 17, 891–903.
Pirsig, R. M. (1991). Lila: An inquiry into morals. London: Transworld Publishers.
Turing, A. M. (1936). On computable numbers, with an application to the Entscheidungsproblem. Proceedings of the London Mathematical Society, Series, 2(42), 230–265.
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Cottam, R., Ranson, W. (2017). A Fishy Business. In: Bridging the Gap between Life and Physics. Springer, Cham. https://doi.org/10.1007/978-3-319-74533-6_5
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DOI: https://doi.org/10.1007/978-3-319-74533-6_5
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