scholarly journals Re-modelling scientific change: complex systems frames innovative problem solving

2018 ◽  
Vol 5 (1) ◽  
pp. 4-12
Author(s):  
Cliff Hooker
Keyword(s):  
Complex System ◽  
Problem Solving ◽  
Complex Systems ◽  
Philosophy Of Science ◽  
Scientific Change ◽  
Science Of Science ◽  
Complex Process

Complex systems are used, studied and instantiated in science, with what consequences? To be clear and systematic in response it is necessary to distinguish the consequences, (i) for science, of science using and studying complex systems, (ii) for philosophy of science, of science using and studying complex systems, (iii) for philosophy of science, of philosophy of science modelling science as a complex system. Each of these is explored in turn, especially (iii). While (iii) has been least studied, it will be shown how modelling science as a complex process may change our conception of science and thereby query what a philosophy of science adequate to this complexity might look like.

In-Between and Through: Architecture and Complexity

2005 ◽  
Vol 3 (3) ◽  
pp. 335-354 ◽  
Author(s):  
Clarissa Ribeiro Pereira de Almeida ◽  
Anja Pratschke ◽  
Renata La Rocca
Keyword(s):  
Complex System ◽  
Software Engineering ◽  
Complex Systems ◽  
Design Process ◽  
Three Dimensional ◽  
Self Organization ◽  
Three Dimensional Modeling ◽  
Dimensional Modeling ◽  
Complex Thought ◽  
Basic Characteristics

This paper draws on current research on complexity and design process in architecture and offers a proposal for how architects might bring complex thought to bear on the understanding of design process as a complex system, to understand architecture as a way of organizing events, and of organizing interaction. Our intention is to explore the hypothesis that the basic characteristics of complex systems – emergence, nonlinearity, self-organization, hologramaticity, and so forth – can function as effective tools for conceptualization that can usefully extend the understanding of the way architects think and act throughout the design process. To illustrate the discussions, we show how architects might bring complex thought inside a transdisciplinary design process by using models such as software engineering diagrams, and three-dimensional modeling network environments such as media to integrate, connect and ‘trans–act’.

scholarly journals Toward Reverse Engineering to Economic Analysis: An Overview of Tools and Methodology

2021 ◽  
Author(s):  
Marisa Faggini ◽  
Bruna Bruno ◽  
Anna Parziale
Keyword(s):  
Complex System ◽  
Nonlinear Dynamics ◽  
Economic Analysis ◽  
Complex Systems ◽  
Reverse Engineering ◽  
Underlying Mechanism ◽  
Economic Data ◽  
Agent Based ◽  
Economic Agents ◽  
Advantages And Disadvantages

AbstractFollowing the reverse engineering (RE) approach to analyse an economic complex system is to infer how its underlying mechanism works. The main factors that condition the difficulty of RE are the number of variable components in the system and, most importantly, the interdependence of components on one another and nonlinear dynamics. All those aspects characterize the economic complex systems within which economic agents make their choices. Economic complex systems are adopted in RE science, and they could be used to understand, predict and model the dynamics of the complex systems that enable to define and to control the economic environment. With the RE approach, economic data could be used to peek into the internal workings of the economic complex system, providing information about its underling nonlinear dynamics. The idea of this paper arises from the aim to deepen the comprehension of this approach and to highlight the potential implementation of tools and methodologies based on it to treat economic complex systems. An overview of the literature about the RE is presented, by focusing on the definition and on the state of the art of the research, and then we consider two potential tools that could translate the methodological issues of RE by evidencing advantages and disadvantages for economic analysis: the recurrence analysis and the agent-based model (ABM).

scholarly journals Detection of Emergent Situations in Complex Systems by Structural Invariant (MB, M)

MENDEL ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 163-170 ◽  
Author(s):  
Jiri Bila ◽  
Martin Novak
Keyword(s):  
Complex System ◽  
Complex Systems ◽  
Detection Method ◽  
Water Cycle ◽  
Ramsey Theorem ◽  
Structural Invariant

The paper introduces complete description of the detection method that uses structural invariant Matroid and its Bases (MB, M). There are recapitulated essential concepts from the used knowledge field as “complex system, emergent situations (A, B, C)”, Ramsey theorem and principal computation variables “power” and “complexity” of emergence phenomenon. The method is explained in details and the demonstration of its application is done by the detection of emergent situation – violation of Short Water Cycle in an ecosystem.

scholarly journals Assessing Cyber-Worthiness of Complex System Capabilities using MBSE: A new rigorous engineering methodology

2021 ◽  
Author(s):  
Stuart Fowler ◽  
Keith Joiner ◽  
Elena Sitnikova
Keyword(s):  
Complex System ◽  
Complex Systems ◽  
Systems Engineering ◽  
Cyber Attacks ◽  
Simulation Methods ◽  
Assessment Methodology ◽  
Cyber Attack ◽  
Cyber Threats ◽  
Attack Surface ◽  
Model Based Systems Engineering

<div>Cyber-worthiness as it is termed in Australian Defence, or cyber-maturity more broadly, is a necessary feature of modern complex systems which are required to operate in a hostile cyber environment. To evaluate the cyber-worthiness of complex systems, an assessment methodology is required to examine a complex system’s or system-of-system’s vulnerability to and risk of cyber-attacks that can compromise such systems. This assessment methodology should address the cyber-attack surface and threat kill chains, including supply chains and supporting infrastructure. A cyber-worthiness capability assessment methodology has been developed based on model-based systems engineering concepts to analyse the cyber-worthiness of complex systems and present a risk assessment of various cyber threats to the complex system. This methodology incorporates modelling and simulation methods that provide organisations greater visibility and consistency across diverse systems, especially to drive cybersecurity controls, investment and operational decisions involving aggregated systems. In this paper, the developed methodology will be presented in detail and hypothesised outcomes will be discussed.</div>

The Simulation of the Ship Production Design Process Based on Hierarchical Timed Petri Net

2012 ◽  
Vol 544 ◽  
pp. 170-175 ◽  
Author(s):  
Rui Yan ◽  
Ping Jiang ◽  
Wei Jia Li ◽  
Jun Yan ◽  
Long Wen
Keyword(s):  
Complex Systems ◽  
Design Process ◽  
Petri Net ◽  
Current Situation ◽  
Sea Transport ◽  
Timed Petri Net ◽  
Project Environment ◽  
Complex Process

Shipbuilding is a very important industry for its irreplaceable role into the sea transport and oceans exploration. But ship production design is a very complex process, causing the inefficiency of the shipbuilding. At the same time, the current situation of most shipbuilding enterprises is the multi-project environment and the resources among them are shared, the large and complex systems are hardly to simulate. In this research, a multi-resources oriented hierarchical timed petri net (HTPN) are constructed to model the ship production design process under the multi-project environment and a WFPN software is developed based on HTPN. To evaluate the efficiency and applicability of WFPN, a case study is conducted and the results show that it’s practicable. Beside on it, the analyses of the resource loads are also providing a way to promote the efficiency of the shipbuilding enterprises.

UNFOLDING PARALLEL REASONING IN ISLAMIC JURISPRUDENCE

2018 ◽  
Vol 28 (1) ◽  
pp. 67-132 ◽  
Author(s):  
Shahid Rahman ◽  
Muhammad Iqbal
Keyword(s):  
Problem Solving ◽  
Philosophy Of Science ◽  
Legal Reasoning ◽  
Initial Study ◽  
Contemporary Philosophy ◽  
Fine Grained ◽  
Wide Range ◽  
Islamic Jurisprudence ◽  
Parallel Reasoning

AbstractOne of the epistemological results emerging from this initial study is that the different forms of co-relational inference, known in the Islamic jurisprudence as qiyās, represent an innovative and sophisticated form of reasoning that not only provides new epistemological insights into legal reasoning in general but also furnishes a fine-grained pattern for parallel reasoning which can be deployed in a wide range of problem-solving contexts and does not seem to reduce to the standard forms of analogical argumentation studied in contemporary philosophy of science. However, in the present paper we will only discuss the case of so-called co-relational inferences of the occasioning factor and only in the context of Islamic jurisprudence.

Industry 4.0 From the Systems Engineering Perspective

2020 ◽  
pp. 575-599
Author(s):  
Vladimír Bureš
Keyword(s):  
Complex System ◽  
Physical Activity ◽  
Complex Systems ◽  
Frequency Analysis ◽  
Systems Engineering ◽  
Industry 4.0 ◽  
Control Level ◽  
Design Development ◽  
Starting Point ◽  
And Control

Systems engineering focuses on design, development, and implementation of complex systems. Not only does the Industry 4.0 concept consist of various technical components that need to be properly set and interconnected, but it is also tied to various managerial aspects. Thus, systems engineering approach can be used for its successful deployment. Overemphasis of technological aspects of Industry 4.0 represents the main starting point of this chapter. Then, collocation analysis, word clusters identification, selection and exemplification of selected domain in the business management realm, and frequency analysis are used in order to develop a holistic framework of Industry 4.0. This framework comprises six levels – physical, activity, outcome, content, triggers, and context. Moreover, the information and control level is integrated. The new holistic framework helps to consider Industry 4.0 from the complex systems engineering perspective – design and deployment of a complex system with required parameters and functionality.

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