Abstract

Emergent patterns in complex systems are related with many intriguing phenomena in modern science. One question that has sparked vigorous debates is if difficulties in the modelization of emergent behaviours are a consequence of ontological or epistemological limitations. To elucidate this question, we propose a novel approximation through constructive logic. Under this framework, experimental measurements will be considered conceptual building blocks from which we aim to achieve a description of the microstates ensemble mapping the macroscopic emergent observation. This procedure allow us to have full control of any information loss, thus making the analysis of different systems fairly comparable. In particular, we aim to look for compact descriptions of the constraints underlying a dynamical system, as a necessary a priori step to develop explanatory (mechanistic) models. We apply our proposal to a synthetic system to show that the number and scope of the system’s constraints hinder our ability to build compact descriptions, being those systems under global constraints a limiting case in which such a description is unreachable. This result clearly links the epistemological limits of the framework selected with an ontological feature of the system, leading 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, following the spirit of Granger causality. We think that our approximation clarifies previous discrepancies found in the literature, reconciles distinct attempts to classify emergent processes, and paves the way to understand other challenging concepts such as downward causation.

Highlights

  • “What urges you on and arouses your, you wisest of men, do you call it will to truth? Will to the conceivability of all being: that is what I call your will! You first want to make all being conceivable: for, with a healthy mistrust, you doubt whether it is conceivable

  • Here we show that the ability to find what we will call a compact description of the microstates’ ensemble depends on the dynamical features of the system and, in Emergence in complex systems particular, on how the components are entangled through internal and external constraints

  • 2 O are the components of a complex system at a given time, i.e. we focus on a single microstate μ with N components, each of them described by M variables

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Summary

Objectives

Experimental measurements will be considered conceptual building blocks from which we aim to achieve a description of the microstates ensemble mapping the macroscopic emergent observation. Since we aim to investigate the concept of emergence within a scientific setting, we will focus on how formal models are built starting from experimental measurements –that are considered basic characteristics– following a purely constructive attittude. The condition of irreversibility tries to avoid an impredicative definition of the system’s constraints: we aim to avoid any definition of the system’s constraints that consists of the mere presentation of the system itself. Taking these considerations in mind, we aim to disentangle the microscopic constraints in the system following the present formalism. We aim to develop computational models to reproduce experimentally measured data and to simulate the emergent process, and it is compatible with weak emergence

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