Causality in complex systems

Abstract

Purpose

The purpose of this paper is the study of the causal relationship. The concept called “naive” causality can be stated more generally as the belief (or knowledge) that results follow actions, and that these results are not random, but are consistently linked with causes. The authors have thus formed a very general and precarious concept of causality, but one that appropriately reflects the meaning of causality at the level of common sense.

Design/methodology/approach

Mathematical and logical development of the causality in complex systems.

Findings

There are three aspects of rationality that give the human mind a unique vision of reality: quantification: reduction of phenomena to quantitative terms; cause and effect: causal relationship, which allows predicting; and the necessary and valid use of (deterministic) mechanical models. This work is dedicated to the second aspect, that of causality, but at present leaves aside the discussion of possibility-necessity, proposing a modification to philosophical synthesis of causality specified by Bunge (1959), with contributions made by Patten et al. (1976) and LeShan and Margenau (1982).

Originality/value

Causality is an epistemological category, because it concerns the experience and knowledge of the human subject, without being necessarily a property of reality.

Citation

Usó-Domenech, J.-L., Nescolarde-Selva, J.A. and Lloret-Climent, M. (2017), "Causality in complex systems", Kybernetes, Vol. 46 No. 4, pp. 590-602. https://doi.org/10.1108/K-08-2016-0195