Adapting a Formal Model Theory to Applications in Augmented Personalized Medicine
Plamen L. Simeonov, Andr\'ee C. Ehresmann

TL;DR
This paper develops an extensible formal model integrating advanced mathematical frameworks to better understand and simulate complex living systems, with applications in medicine, ecology, and robotics.
Contribution
It introduces WLIMES, combining Wandering Logic Intelligence and Memory Evolutive Systems, as a formal augmented reality language for modeling multi-level biological systems.
Findings
Development of a visual language and calculus (VLC) for system modeling
Implementation of a graphical user interface for the formal language
Potential integration into personalized medicine and biological research
Abstract
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…
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Taxonomy
TopicsGene Regulatory Network Analysis · Origins and Evolution of Life · Scientific Computing and Data Management
