Biological Organization, Biological Information, and Knowledge

Kritz, Maurício Vieira

doi:10.1101/012617

Cited by 3 publications

(5 citation statements)

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“…It enables reasoning about organisations independently of any ontological references or immersions in P, unveiling properties intrinsic to the relational aspects of organisations (sections 3.1.4 and 4.2). Furthermore, it supports the distinction and identification of organisation changes amid dynamics in P. This text extends and improves previous presentations of the above definitions [87,128,129].…”

Section: Discussionsupporting

confidence: 84%

From Systems to Organisations

Kritz

2016

Preprint

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Warren Weaver, writing about the function that science should have in mankind’s developing future, ideas and ideals, proposed to classify scientific problems into ‘problems of simplicity’, ‘problems of disorganised complexity’, and ‘problems of organised complexity’ — the huge complementary class to which all biological, human, and social problems belong. Problems of simplicity have few components and variables and have been extensively addressed in the last 400 years. Problems of disorganised complexity have a huge number of individually erratic components and variables, but possess collective regularities that can be analysed by resourcing to stochastic methods. Yet, problems of organised complexity do not yield easily to classical or statistical treatment since interrelations among phenomenon elements change during its evolution alongside commonly used state variables, affecting behaviour and outcome. Moreover, organisation, the focal point in this complementary class, is still an elusive concept despite the gigantic efforts undertaken since a century ago to tame it. This paper addresses the description, representation and study of phenomena in the ‘problems of organised complexity’ class. Grounded on relational mathematical constructs, a theoretical framework providing operational definitions and schemes for formally modelling organisations and interaction of organisations is introduced. This framework extends the general systems’ concept and provides a novel perspective for addressing organised complexity phenomena as a collection of interacting organisations.

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Section: Discussionsupporting

confidence: 84%

From Systems to Organisations

Kritz

2016

Preprint

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“…It enables reasoning about organisations independently of any ontological references or immersions in P, unveiling properties intrinsic to the relational aspects of organisations (Sections 3.1.4 and 4.2). Furthermore, it supports the distinction and identification of organisation changes amid dynamics in P. This text extends and improves previous presentations of the above definitions [106,149,150].…”

Section: Discussionsupporting

confidence: 65%

“…The fact that H ⊂ H ⊂ Γ and a fixed point theorem for structures [101] warrant that Γ is non-void and well defined [95]. Note that Definition 2 makes no reference to sets nor atoms.…”

Section: A Mathematical Model For Organisationsmentioning

confidence: 99%

“…Atoms in wp-graphs are required to be elements of a finite admissible set [94], U, established in advance. Admissible sets allow for treating certain sets as atomic organisations more conveniently [95]. Sets in U are not meant to be 'inspected' and differ from sets constructed by clause 2 of Definition 1.…”

Section: A Mathematical Model For Organisationsmentioning

confidence: 99%

“…And the symbol . = reads is build as or is given by and has a double interpretation: as a programming assignment during construction of wp-graphs and as a mathematical equality in Γ [95].…”

Section: A Mathematical Model For Organisationsmentioning

confidence: 99%

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From Systems to Organisations

Kritz

2017

Systems

Self Cite

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Warren Weaver, writing about the function that science should have in mankind's developing future, ideas and ideals, proposed to classify scientific problems into 'problems of simplicity', 'problems of disorganised complexity', and 'problems of organised complexity'-the huge complementary class to which all biological, human, and social problems belong. Problems of simplicity have few components and variables and have been extensively addressed in the last 400 years. Problems of disorganised complexity have a huge number of individually erratic components and variables, but possess collective regularities that can be analysed by resourcing to stochastic methods. Yet, 'problems of organised complexity' do not yield easily to classical or statistical treatment. Interrelations among phenomenon elements change during its evolution alongside commonly used state variables. This invalidates independence and additivity assumptions that support reductionism and affect behaviour and outcome. Moreover, organisation, the focal point in this complementary class, is still an elusive concept despite gigantic efforts undertaken since a century ago to tame it. This paper addresses the description, representation and study of phenomena in the 'problems of organised complexity' class, arguing that they should be treated as a collection of interacting organisations. Furthermore, grounded on relational mathematical constructs, a formal theoretical framework that provides operational definitions, schemes for representing organisations and their changes, as well as interactions of organisations is introduced. Organisations formally extend the general systems concept and suggest a novel perspective for addressing organised complexity phenomena as a collection of interacting organisations.

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Theoretical modeling of organizational reflex in human resource management from the perspective of organizational biological approach

Papsiene

2024

Humanit Soc Sci Commun

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This article presents a framework that informs about routine and creative decision-making and management practices within an organization. The primary focus of the study is on the preparedness of human resources within the organization to effectively respond to information from the global environment and ensure optimal decision-making. Analysis of human resource management discourse, a review of biological organization theory, and a detailed examination of reflex arc theory using elements of human body analogy such as neurons, allowed us to model a system that examines the basis of decision-making of information coming from the global environment in an organization, and the conducted research allowed to discover how to improve organizational abilities to respond to external stimuli. Theoretical modeling techniques revealed connections between the organization and various systems, and computer simulation allowed to examine these connections in different situations using Spyder (Python 3.8 environment based on SciPy, NumPy, etc.), with all the necessary functions to perform calculations and visualize the results. In order to gain a deeper understanding of decision-making in the organization, a model has been developed that is able to effectively make a decision from the perspective of the organization’s biological approach. A computer simulation conducted in the course of the study indicated: (1) that according to the interests of the organization the model selected (20%) of information of interest, from which, according to the ability of the created model, (95%) was directed to form a routine response and (5%) was directed to a creative response; (2) the time efficiency of the routine response may be more effective than that of the creative response from (63.6%) to (90.7%); (3) the efficiency of the realistic scenario of the model’s performance is inferior (about 21%) than that of the optimistic scenario, but more effective (about 17%) than that of the pessimistic scenario, this means that the realistic scenario works better than predicted in the pessimistic scenario, making it positive for the suitability of the model. These findings provide valuable insights into an organization’s ability to respond quickly and make decisions in a competitive environment, which may have practical implications for organization management and strategies to improve the ability to respond to external factors.

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Biological Organization, Biological Information, and Knowledge

Cited by 3 publications

References 19 publications

From Systems to Organisations

From Systems to Organisations

From Systems to Organisations

Theoretical modeling of organizational reflex in human resource management from the perspective of organizational biological approach

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