A topological approach to the problem of emergence in complex systems
Emergent patterns in complex systems are related to many intriguing phenomena in modern science and philosophy. Several conceptions such as weak, strong and robust emergence have been proposed to emphasize different epistemological and ontological aspects of the problem. One of the most important co...
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Format | Journal Article |
Language | English |
Published |
07.10.2016
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Subjects | |
Online Access | Get full text |
DOI | 10.48550/arxiv.1610.02448 |
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Summary: | Emergent patterns in complex systems are related to many intriguing phenomena
in modern science and philosophy. Several conceptions such as weak, strong and
robust emergence have been proposed to emphasize different epistemological and
ontological aspects of the problem. One of the most important concerns is
whether emergence is an intrinsic property of the reality we observe, or it is
rather a consequence of epistemological limitations. To elucidate this
question, we propose a novel approximation through constructive topology, a
framework that allow us to map the space of observed objects (ontology) with
the knowledge subject conceptual apparatus (epistemology). Focusing in a
particular type of emergent processes, namely those accessible through
experiments and from which we have still no clue on the mechanistic processes
yielding its formation, we analyse how a knowledge subject would build a
conceptual explanatory framework. Working on these systems, we identify concept
disjunction as a critical logical operation needed to identify the constraints
of the system. Next, focusing on a three-bits synthetic system, we show how the
number and scope of the constraints hinder the development of such scheme.
Interestingly, we observe that our framework is unable to identify global
constraints, clearly linking the epistemological limits of the framework with
an ontological feature of the system. This allows us to propose a definition of
emergence strength which we make compatible with the scientific method through
the active intervention of the observer on the system. We think that this
definition reconciles previous attempts to classify emergent processes, at
least for the specific kind we discuss here. The paper finishes discussing the
relevance of global constraints in biological systems, understood as a downward
causal influence exerted by natural selection. |
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DOI: | 10.48550/arxiv.1610.02448 |