Systemic preconditions and ontological modeling for peri-urban communities

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Susu Nousala ◽  
Kim Blanca Galindo ◽  
David Romero ◽  
Xin Feng ◽  
Pedro Aibeo
Keyword(s):  
Urban Communities ◽  
Mexico City ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Methodological Approach ◽  
Content Type ◽  
Complex Adaptive ◽  
Ontological Modeling ◽  
Ontological Model ◽  
The Impact

PurposeThis research presents an ontological model, to communicate the impact of dynamic preconditions for peri-urban communities. As such, this paper approaches perturbation communities as social-complex-adaptive-systems.Design/methodology/approachPrevious assessment of dynamic preconditions have typically been based on top-down approaches. Through the lens of social-complex-adaptive and systemic design approaches (requiring a range of different disciplines), this work focuses on providing a broader view towards periurban research. The methodological approach involved academic literature, fieldwork observations, in-depth discussions with community, government, experts and research groups, focusing on a region called “Xochimilco” on the outskirts of Mexico City, a unique pre-Hispanic, Aztec ecosystem. This evolving man made agricultural/ecological structure of island plots, still provides environmental services to Mexico City. This region provides the basis of the research and subsequent ontological model. Ontology, in this instance, refers to the nature of being within a range of constraining dynamic forces relating to resilient behaviors of the current Xochimilco perturbation ecosystem.FindingsXochimilco can be considered as a longitudinal phenomenon that contributed to the understanding of observable resilient and precondition elements between the past and present of a living complex-adaptive-system.Practical implicationsThe research has provided a better understanding of community resilience through preconditions, contributing towards preparation of environmental change and future urbanization. To this end, the research focused on visualizing key dynamics elements for communities attempting to absorb new urban conditions (being continuously pushed into it).Originality/valueThe outcomes of this research have provided specific systemic, bottom up approaches with ontological modeling to assist with visualizing and understanding intangible dynamic conditions that impact high complex areas of perturbation regions.

scholarly journals Decentralization and heterogeneity in complex adaptive systems

Kybernetes ◽  
2015 ◽  
Vol 44 (6/7) ◽  
pp. 1082-1093 ◽  
Author(s):  
Diego Gonzalez-Rodriguez ◽  
Jose Rodolfo Hernandez-Carrion
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Autonomous Agents ◽  
Group Behavior ◽  
Content Type ◽  
Artificial Society ◽  
Complex Adaptive ◽  
Genetic Information Processing ◽  
Peer Dynamics ◽  
The Impact

Purpose – Following a bacterial-based modeling approach, the authors want to model and analyze the impact of both decentralization and heterogeneity on group behavior and collective learning. The paper aims to discuss these issues. Design/methodology/approach – Inspired by bacterial conjugation, the authors have defined an artificial society in which agents’ strategies adapt to changes in resources location, allowing migration, and survival in a dynamic sugarscape-like scenario. To study the impact of these variables the authors have simulated a scenario in which resources are limited and localized. The authors also have defined three constraints in genetic information processing (inhibition of plasmid conjugation, inhibition of plasmid reproduction and inhibition of plasmid mutation). Findings – The results affirmed the hypothesis that efficiency of group adaptation to dynamic environments is better when societies are varied and distributed than when they are homogeneous and centralized. Originality/value – The authors have demonstrated that in a model based on free interactions among autonomous agents, optimal results emerge by incrementing heterogeneity levels and decentralization of communication structures, leading to a global adaptation of the system. This organic approach to model peer-to-peer dynamics in complex adaptive systems (CAS) is what the authors have named “bacterial-based algorithms” because agents exchange strategic information in the same way that bacteria use conjugation and share genome.

scholarly journals Reframing hydrology education to solve coupled human and environmental problems

2012 ◽  
Vol 9 (6) ◽  
pp. 7739-7759 ◽  
Author(s):  
E. G. King ◽  
F. C. O'Donnell ◽  
K. K. Caylor
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Earth System ◽  
Educational Approach ◽  
Dynamic Interactions ◽  
Undergraduate Level ◽  
Complex Adaptive ◽  
Sustainability Challenges ◽  
Problem Solvers ◽  
The Impact

Abstract. The impact of human activity on the biophysical world raises myriad challenges for sustaining earth system processes, ecosystem services, and human societies. To engage in meaningful problem-solving in the hydrosphere, this necessitates an approach that recognizes the coupled nature of human and biophysical systems. We argue that in order to produce the next generation of problem-solvers, hydrology education should ensure that students develop an appreciation and working familiarity in the context of coupled human-environmental systems. We illustrate how undergraduate-level hydrology assignments can extend beyond rote computations or basic throughput scenarios to include consideration of the dynamic interactions with social and other biophysical dimensions of complex adaptive systems. Such an educational approach not only builds appropriate breadth of dynamic understanding, but can also empower students toward assuming influential and effective roles in solving sustainability challenges.

Strategy in the era of “swans”: the role of strategic leadership under uncertainty and unpredictability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Henry Adobor ◽  
William Phanuel Kofi Darbi ◽  
Obi Berko O. Damoah
Keyword(s):  
Mental Models ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Strategic Leadership ◽  
Content Type ◽  
Complexity Leadership ◽  
Complex Adaptive ◽  
Strategic Leaders ◽  
Impact Events

PurposeThe purpose of this conceptual paper is to explore the role of strategic leadership under conditions of uncertainty and unpredictability. The authors argue that highly improbable, but high-impact events require the upper echelons of management, traditionally the custodians of strategy formulation to offer a new kind of strategic leadership focused on new mindsets, organizational capabilities, more in tune with high uncertainty and unpredictability.Design/methodology/approachDrawing on strategic leadership, and complexity leadership theory, the authors review the literature and present a conceptual framework for exploring the nature of strategic leadership under uncertainty. The authors conceptualize organizations as complex adaptive systems and discuss the imperatives for developing new mental models for emergent leadership.FindingsStrategic leaders have a key role to play in preparing their organizations for episodic disruptions. These include developing their adaptive capabilities and building resilient organizations to ensure their organizations cannot only bounce back after a disruption but have the capacity for transformation to new fitness levels when necessary. Strategic leaders must engage with complexity leadership by seeing their organizations as complex adaptive systems, reconfigure their leadership approaches and organizations to build strategic adaptive capability.Research limitations/implicationsThis is a conceptual paper and the authors cannot make any claims of causality.Practical implicationsOrganizational leaders need to reconfigure their mental models and leadership approaches to reflect the new normal of uncertainty and unpredictability. Developing the strategic adaptive capability of organizations should prepare them for dealing with high impact events. To assure business continuity in the face of disruptions requires building flexible, adaptable business models.Originality/valueThe paper focuses on how managers can offer strategic leadership for a new normal that challenges some of our most cherished leadership and strategic management paradigms. The authors explore the new mental models and leadership models in an era of great uncertainty.

Knowledge Management

2011 ◽  
pp. 1-26 ◽  
Author(s):  
Shamin Bodhanya
Keyword(s):  
Knowledge Management ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Social Process ◽  
Situated Action ◽  
Complex Adaptive ◽  
Process Perspective ◽  
The Impact ◽  
Epistemology Of Action ◽  
Organisational Intervention

This chapter demonstrates that despite a plurality of discourses related to knowledge, they are reduced to a single dominant discourse on knowledge management. It draws on systems thinking and complexity theory to reconceptualise organisations as complex adaptive systems within which knowledge ecologies may flourish. The focus thus shifts to knowing in situated action and on knowledge as a dynamic phenomenon. The chapter makes a contribution to strengthening the impact of the epistemology of action and that of a social-process perspective of knowledge. The approach presented has radical implications for knowledge management such that it becomes an enduring organisational intervention as opposed to a management fad. The implications for organisational practice and changes in managerial orientations are shown to be novel offering significant potential towards a second order knowledge management.

Inverse infrastructures: self-organization in the water services

Water Policy ◽  
2014 ◽  
Vol 17 (2) ◽  
pp. 299-315 ◽  
Author(s):  
Ossi Heino ◽  
Ari-Veikko Anttiroiko
Keyword(s):  
Urban Communities ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
The Self ◽  
Self Organization ◽  
Complex Adaptive ◽  
Local Actors ◽  
Infrastructure Services ◽  
The Town ◽  
Autonomous Infrastructures

In urban communities, infrastructures that support living are indispensable. There is increased interest in alternative ways of providing such support systems, including semi-autonomous infrastructures resulting from the self-organization of local actors. In this study, we analyze the emergence and management of such infrastructures in light of the theory of complex adaptive systems, within which they are called ‘inverse infrastructures’. Empirical evidence is drawn from the case of water cooperatives in the town of Ikaalinen, Finland. Our analysis shows that, with favorable preconditions in place, inverse infrastructures may contribute significantly to local infrastructure services and so also to the functioning of society.

scholarly journals Smallholder value chains as complex adaptive systems: a conceptual framework

2018 ◽  
Vol 8 (1) ◽  
pp. 14-33 ◽  
Author(s):  
Alastair Orr ◽  
Jason Donovan ◽  
Dietmar Stoian
Keyword(s):  
Conceptual Framework ◽  
Complex Adaptive Systems ◽  
Value Chain ◽  
Adaptive Systems ◽  
Initial Conditions ◽  
Sudden Change ◽  
Value Chains ◽  
Limited Attention ◽  
Content Type ◽  
Complex Adaptive

Purpose Smallholder value chains are dynamic, changing over time in sudden, unpredictable ways as they adapt to shocks. Understanding these dynamics and adaptation is essential for these chains to remain competitive in turbulent markets. Many guides to value chain development, though they focus welcome attention on snapshots of current structure and performance, pay limited attention to the dynamic forces affecting these chains or to adaptation. The paper aims to discuss these issues. Design/methodology/approach This paper develops an expanded conceptual framework to understand value chain performance based on the theory of complex adaptive systems. The framework combines seven common properties of complex systems: time, uncertainty, sensitivity to initial conditions, endogenous shocks, sudden change, interacting agents and adaptation. Findings The authors outline how the framework can be used to ask new research questions and analyze case studies in order to improve our understanding of the development of smallholder value chains and their capacity for adaptation. Research limitations/implications The framework highlights the need for greater attention to value chain dynamics. Originality/value The framework offers a new perspective on the dynamics of smallholder value chains.

How can a municipal government continue operations during megadisasters? An analysis of preparedness using complex adaptive systems

2020 ◽  
Vol 29 (5) ◽  
pp. 779-792
Author(s):  
Masahiko Haraguchi
Keyword(s):  
Public Sector ◽  
Complex Adaptive Systems ◽  
Local Governments ◽  
Adaptive Systems ◽  
Municipal Government ◽  
Theory And Practice ◽  
Content Type ◽  
The Public ◽  
Continuity Planning ◽  
Complex Adaptive

PurposeThis paper aims to examine how government continuity planning contributes to strengthening the public sector's emergency preparedness, resulting in enhanced resilience of the public sector. Government continuity plans (GCPs) are a recently focused concept in disaster preparedness, compared to business continuity plans (BCPs) in the private sector. The need for BCPs was widely recognized after the 2011 Great East Japan Earthquake (GEJE) and the 2011 Thailand Floods. However, recent disasters, such as the 2016 Kumamoto Earthquake in Japan, have revealed that local governments without effective GCPs were severely affected by disasters, preventing them from quickly responding to or recovering from disasters. When the GEJE occurred in 2011, only 11% of municipal governments in Japan had GCPs.Design/methodology/approachThe paper analyzes basic principles of government continuity planning using complex adaptive systems (CAS) theory while summarizing recent developments in theory and practice of government continuity planning.FindingsThis research investigates the Japanese experience of GCPs using self-organization, one of the concepts of CAS. A GCP will complement regional disaster plans, which often focus on what governments should do to protect citizens during emergencies but fail to outline how governments should prepare for an emergency operation. The study concludes that GCPs contribute to increased resilience among the public sector in terms of robustness, redundancy, resourcefulness and rapidity.Practical implicationsThis paper includes implications for the development and improvement of a GCP's operational guideline.Originality/valueThis research fulfills an identified need to investigate the effectiveness of a GCP for resilience in the public sector and how to improve its operation using concepts of CAS.

scholarly journals The viable decision maker for CAS survival: how to change and adapt through fitting process

2017 ◽  
Vol 27 (5) ◽  
pp. 1006-1023 ◽  
Author(s):  
Luca Carrubbo ◽  
Francesca Iandolo ◽  
Valentina Pitardi ◽  
Mario Calabrese
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Organizational Design ◽  
Decision Making Process ◽  
Theoretical Frameworks ◽  
General Process ◽  
Content Type ◽  
Complex Adaptive

Purpose The purpose of this paper is to investigate the decision-making process in the management of the complex adaptive systems (CAS), particularly focusing on the dimensions that affect the individual decision maker (DM) when passing from decision to behavior in fitting processes. Although the importance of the general process of fitting in terms of organizational design has been highlighted in earlier studies, a closer focus on the DM perspective is required. Design/methodology/approach Starting from the theoretical frameworks of viable systems approach (vSa) and addressing the evolving concepts of change and adaptation in CAS, the work takes the DM perspective and investigates the dimensions involved in the paths that lead complex decisions into behaviors, when referring to fitting processes. The paper reviews the vSa and the concept of CAS, deepening the decision making in fitting processes. Then, the paper proceeds to discuss the schemes and the categories that affect, at different levels, the decision and behavioral choices by proposing an interpretative framework. Findings The paper proposes a general framework useful to recognize/identify which are the elements/dimensions that have to be considered when organizations change in pursuing survival. The findings of the paper also show how adopting a vSa as a meta-model can be insightful to the understanding of service systems and useful in fully comprehending decision-making processes and behavior in complex adaptive system. Originality/value The originality of this paper lies in exploring the decision making process in CAS, adopting a closer perspective on the single DM through the lens of the vSa.

scholarly journals Analyzing Uncertainty in Complex Socio-Ecological Networks

Entropy ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. 123 ◽  
Author(s):  
Ana D. Maldonado ◽  
María Morales ◽  
Pedro A. Aguilera ◽  
Antonio Salmerón
Keyword(s):  
Bayesian Network ◽  
Network Structure ◽  
Complex Adaptive Systems ◽  
Posterior Distribution ◽  
Adaptive Systems ◽  
Bayesian Network Structure ◽  
Complex Adaptive ◽  
Lower Entropy ◽  
The Impact ◽  
Class Variable

Socio-ecological systems are recognized as complex adaptive systems whose multiple interactions might change as a response to external or internal changes. Due to its complexity, the behavior of the system is often uncertain. Bayesian networks provide a sound approach for handling complex domains endowed with uncertainty. The aim of this paper is to analyze the impact of the Bayesian network structure on the uncertainty of the model, expressed as the Shannon entropy. In particular, three strategies for model structure have been followed: naive Bayes (NB), tree augmented network (TAN) and network with unrestricted structure (GSS). Using these network structures, two experiments are carried out: (1) the impact of the Bayesian network structure on the entropy of the model is assessed and (2) the entropy of the posterior distribution of the class variable obtained from the different structures is compared. The results show that GSS constantly outperforms both NB and TAN when it comes to evaluating the uncertainty of the entire model. On the other hand, NB and TAN yielded lower entropy values of the posterior distribution of the class variable, which makes them preferable when the goal is to carry out predictions.

The complexity continuum, part 2: modelling harmony

Kybernetes ◽  
2019 ◽  
Vol 48 (8) ◽  
pp. 1626-1652 ◽  
Author(s):  
Maurice Yolles
Keyword(s):  
Complex Systems ◽  
Agency Theory ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Critical Realism ◽  
Philosophical Perspective ◽  
Content Type ◽  
Viable Systems ◽  
Complex Adaptive ◽  
Viable System

PurposeComplex systems adapt to survive, but little comparative literature exists on various approaches. Adaptive complex systems are generic, this referring to propositions concerning their bounded instability, adaptability and viability. Two classes of adaptive complex system theories exist: hard and soft. Hard complexity theories include Complex Adaptive Systems (CAS) and Viability Theory, and softer theories, which we refer to as Viable Systems Theories (VSTs), that includes Management Cybernetics at one extreme and Humanism at the other. This paper has a dual purpose distributed across two parts. In part 1 the purpose was to identify the conditions for the complementarity of the two classes of theory. In part 2 the two the purpose is to explore (in part using Agency Theory) the two classes of theory and their proposed complexity continuum.Design/methodology/approachExplanation is provided for the anticipation of behaviour cross-disciplinary fields of theory dealing with adaptive complex systems. A comparative exploration of the theories is undertaken to elicit concepts relevant to a complexity continuum. These explain how agency behaviour can be anticipated under uncertainty. Also included is a philosophical exploration of the complexity continuum, expressing it in terms of a graduated set of philosophical positions that are differentiated in terms of objects and subjects. These are then related to hard and softer theories in the continuum. Agency theory is then introduced as a framework able to comparatively connect the theories on this continuum, from theories of complexity to viable system theories, and how harmony theories can develop.FindingsAnticipation is explained in terms of an agency’s meso-space occupied by a regulatory framework, and it is shown that hard and softer theory are equivalent in this. From a philosophical perspective, the hard-soft continuum is definable in terms of objectivity and subjectivity, but there are equivalences to the external and internal worlds of an agency. A fifth philosophical position of critical realism is shown to be representative of harmony theory in which internal and external worlds can be related. Agency theory is also shown to be able to operate as a harmony paradigm, as it can explore external behaviour of an agent using a hard theory perspective together with an agent’s internal cultural and cognitive-affect causes.Originality/valueThere are very few comparative explorations of the relationship between hard and soft approaches in the field of complexity and even fewer that draw in the notion of harmony. There is also little pragmatic illustration of a harmony paradigm in action within the context of complexity.

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