Modelling and knowledge transfer in complexity science

Zuchowski, Lena C.

doi:10.1016/j.shpsa.2017.10.003

Cited by 10 publications

(3 citation statements)

References 27 publications

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“…Compare, for instance, the Ising model in physics with climatemodels. One core aim of both forms of modelling is to obtain some kind of understanding of a target phenomenon (Reutlinger et al, 2018;Hangleiter, 2014; 10 For more on how-actually and how-possibly explanations in general see (Dray, 1968;Hempel, 1965;Reiner, 1993;Forber, 2010;Bokulich, 2014Bokulich, , 2017Zuchowski, 2019). For a discussion specifically related to quantum computation see (Cuffaro, 2015).…”

Section: A Scientist 𝑆 Has How-possibly Understanding Of Phenomenon 𝑃...mentioning

confidence: 99%

Introduction: A New Instrument of Science?

Hangleiter

Carolan

Thébault

2022

Analogue Quantum Simulation

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Section: A Scientist 𝑆 Has How-possibly Understanding Of Phenomenon 𝑃...mentioning

confidence: 99%

Introduction: A New Instrument of Science?

Hangleiter

Carolan

Thébault

2022

Analogue Quantum Simulation

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“…Gateways into the design of intelligence systems Complexity Science (Cook et al, 2015;McDaniel et al, 2003;Zuchowski, 2019) is concerned with complex systems and problems that are dynamic, unpredictable' multi-dimensional, non-linear and that consist of a collection of interconnected parts and relationships. These conditions characterize most organizational ecosystems.…”

Section: Issues Within the Essaymentioning

confidence: 99%

Guest editorial

Huber

2019

TLO

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was the generation of a great deal of scholarly work dealing with organizational learning. A second important outcome was the creation of two new journals focused on organizational learning, Knowledge Management Research and Practice and The Learning Organization. There is now a huge literature on the subject, driven partly by the importance of organizational learning to the welfare of society. As it is commonly understood, organizational learning occurs when an organization's members revise their beliefs in ways that, when the beliefs are acted upon, improve the organization's performance (Argyris and Schon, 1978, p. 323; Fiol and Lyles, 1985, p. 803; Huber, 2004, p. 118). This definition is useful for everyday use, but it is narrower than one might think; individuals can learn and yet not exhibit changes in their behavior or performance. For example, at the individual or organizational level: [.. .] learning may result in new and significant insights and awareness that dictate no behavioral change [.. .] The choice may not be to reconstruct behavior but, rather, to change one's cognitive map or understandings (Friedlander, 1983, p. 193).

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“…Subsequently, several case studies used these notions to examine interdisciplinary transfers of the Lotka-Volterra model (Knuuttila & Loettgers 2011 , 2017 ; Houkes & Zwart, 2019 ), the Ising model (Knuuttila & Loettgers, 2014 , 2016b ), the virial theorem and the ideal gas law (Price, 2019 ), and the Chomsky hierarchy (Lin, 2022 ). Meanwhile, many other philosophers also addressed the interdisciplinary transfers of models, knowledge, or facts, though not using the notion of a template as their main unit of analysis (Herfeld & Doehne, 2019 ; Herfeld & Lisciandra, 2019 ; Howlett & Morgan, 2010 ; Jhun et al, 2018 ; Zuchowski, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Model templates: transdisciplinary application and entanglement

Knuuttila¹,

Loettgers²

2023

Synthese

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The omnipresence of the same basic equations, function forms, algorithms, and quantitative methods is one of the most spectacular characteristics of contemporary modeling practice. Recently, the emergence of the discussion of templates and template transfer has addressed this striking cross-disciplinary reach of certain mathematical forms and computational algorithms. In this paper, we develop a notion of a model template, consisting of its mathematical structure, ontology, prototypical properties and behaviors, focal conceptualizations, and the paradigmatic questions it addresses. We apply this notion to three widely disseminated and powerful model templates: the Sherrington-Kirkpatrick model of spin glasses, scale-free networks, and the Kuramoto model of synchronization. We argue that what appears to be an interdisciplinary model transfer between different domains turns out, from a broader perspective, to be the application of transdisciplinary model templates across a multitude of domains. We also point out a further feature of template-based modeling that so far has not been discussed: template entanglement. Such entanglement enhances and makes manifest the conceptual side of model templates.

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Modelling and knowledge transfer in complexity science

Cited by 10 publications

References 27 publications

Introduction: A New Instrument of Science?

Introduction: A New Instrument of Science?

Guest editorial

Model templates: transdisciplinary application and entanglement

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