Technological integration and hyper-connectivity: Tools for promoting extreme human lifespans
Marios Kyriazis

TL;DR
This paper explores how principles from artificial, neurobiological, and social networks can inform strategies to maximize human longevity by understanding the common underlying mechanisms of system connectivity and component longevity.
Contribution
It generalizes principles governing the longevity of nodes in artificial and neurobiological systems to social systems, proposing the Law of Requisite Usefulness as a key factor.
Findings
Longevity of system components is linked to their contribution to system adaptability.
The Law of Requisite Usefulness correlates agent retention with system contribution.
Insights suggest practical methods to enhance human lifespan through system connectivity.
Abstract
Artificial, neurobiological, and social networks are three distinct complex adaptive systems (CAS), each containing discrete processing units (nodes, neurons, and humans respectively). Despite the apparent differences, these three networks are bound by common underlying principles which describe the behaviour of the system in terms of the connections of its components, and its emergent properties. The longevity (long-term retention and functionality) of the components of each of these systems is also defined by common principles. Here, I will examine some properties of the longevity and function of the components of artificial and neurobiological systems, and generalise these to the longevity and function of the components of social CAS. In other words, I will show that principles governing the long-term functionality of computer nodes and of neurons, may be extrapolated to the study of…
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Taxonomy
TopicsReinforcement Learning in Robotics
