11 Citations
Fiction , Models and the Problem of the Gap
- Art
- 2020
An increasingly popular view holds that scientific modeling involves something akin to the imaginative construction of a fictional story along with its cast of fictional characters, not just the…
Models, Fictions and Artifacts
- Computer ScienceLanguage and Scientific Research
- 2021
This paper discusses modeling from the artifactual perspective, giving a unified treatment of different model types as it circumvents the tendency of the fictional and other representational approaches to separate model systems from their “model descriptions”.
Learning through the Scientific Imagination
- Philosophy
- 2020
Theoretical models are widely held as sources of knowledge of reality. Imagination is vital to their development and to the generation of plausible hypotheses about reality. But how can imagination,…
Minds, materials and metaphors
- PhilosophyPhilosophy
- 2020
Abstract What is the relationship between mental states and items of material culture, like notebooks, maps or lists? The extended mind thesis (ExM) offers an influential and controversial answer to…
On the nature and use of models in network neuroscience
- BiologyNature Reviews Neuroscience
- 2018
This Review examines the field of network neuroscience, focusing on organizing principles that can help overcome challenges in the diversity of meanings of the term network model, and draws on biology, philosophy and other disciplines to establish validation principles for these models.
Whose climate and whose ethics? Conceptions of justice in solar geoengineering modelling
- Environmental ScienceEnergy Research & Social Science
- 2018
Modelling as Indirect Representation? The Lotka–Volterra Model Revisited
- MathematicsThe British Journal for the Philosophy of Science
- 2017
It is argued that while there are elements of indirect representation in both Volterra's and Lotka’s modelling approaches, they are largely due to two other features of contemporary model construction processes that Weisberg does not explicitly consider: the methods-drivenness and outcome-orientedness of modelling.
Predictive processing and the representation wars: a victory for the eliminativist (via fictionalism)
- PhilosophySynthese
- 2017
In this paper I argue that, by combining eliminativist and fictionalist approaches toward the sub-personal representational posits of predictive processing, we arrive at an empirically robust and yet…
Capturing the Scientific Imagination
- Art
- 2016
Maxwell, when investigating lines of force, sets himself the task of studying ‘the motion of an imaginary fluid’, which he conceives as ‘merely a collection of imaginary properties’ (Niven 1965,…
The Heuristic Defense of Scientific Models: An Incentive-Based Assessment
- Economics, BiologyPerspectives on Science
- 2015
It is argued that a purely heuristic defense of scientific modeling should be cautiously approached because due to the need for mathematical tractability, those employing analytic models have an incentive to employ known mathematical structures.