Adapting a Formal Model Theory to Applications in Augmented Personalized Medicine
The goal of this paper is to advance an extensible theory of living systems using an approach to biomathematics and biocomputation that suitably addresses self-organized, self-referential and anticipatory systems with multi-temporal multi-agents. Our first step is to provide foundations for modellin...
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Main Authors | , |
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Format | Journal Article |
Language | English |
Published |
01.10.2017
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Subjects | |
Online Access | Get full text |
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Summary: | The goal of this paper is to advance an extensible theory of living systems
using an approach to biomathematics and biocomputation that suitably addresses
self-organized, self-referential and anticipatory systems with multi-temporal
multi-agents. Our first step is to provide foundations for modelling of
emergent and evolving dynamic multi-level organic complexes and their
sustentative processes in artificial and natural life systems. Main
applications are in life sciences, medicine, ecology and astrobiology, as well
as robotics, industrial automation and man-machine interface. Since 2011 over
100 scientists from a number of disciplines have been exploring a substantial
set of theoretical frameworks for a comprehensive theory of life known as
Integral Biomathics. That effort identified the need for a robust core model of
organisms as dynamic wholes, using advanced and adequately computable
mathematics. The work described here for that core combines the advantages of a
situation and context aware multivalent computational logic for active
self-organizing networks, Wandering Logic Intelligence (WLI), and a multi-scale
dynamic category theory, Memory Evolutive Systems (MES), hence WLIMES. This is
presented to the modeller via a formal augmented reality language as a first
step towards practical modelling and simulation of multi-level living systems.
Initial work focuses on the design and implementation of this visual language
and calculus (VLC) and its graphical user interface. The results will be
integrated within the current methodology and practices of theoretical biology
and (personalized) medicine to deepen and to enhance the holistic understanding
of life. |
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DOI: | 10.48550/arxiv.1710.03571 |