Perspectival modeling

Michela Massimi

doi:10.1086/697745

Perspectival modeling

Michela Massimi

School of Philosophy, Psychology and Language Sciences

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

The goal of this essay is to address the problem of inconsistent models, and in particular, the challenge it poses for perspectivism. I attend to two main tasks. I analyse the argument, draw attention to some hidden premises behind it, and deflate these premises. Then I introduce the notion of perspectival models as a distinctive class of modeling practices, whose primary function is heuristic. I illustrate perspectival modeling with two examples taken from contemporary high-energy physics at LHC, CERN, which are designed to show how a plurality of seemingly incompatible models (once suitably understood) is often methodologically crucial to advance the realist quest in cutting-edge areas of scientific inquiry.

Original language	English
Pages (from-to)	335-359
Journal	Philosophy of Science
Volume	85
Issue number	3
DOIs	https://doi.org/10.1086/697745
Publication status	Published - 31 Jul 2018
Event	Acádemie Internationale de Philosophie de Sciences (AIPS) Conference October 28-30, 2016 - Technische Universitӓt Dortmund , Dortmund, Germany Duration: 28 Oct 2016 → 30 Oct 2016

Access to Document

10.1086/697745

FPV_Masimi2017PoSPerspectivalModeling
This article has been published in Philosophy of Science 85, no. 3 (July 2018) and can be access on The University of Chicago Press website, https://doi.org/10.1086/697745
Final published version, 1.51 MB

1 Finished

Perspectival Realism. Science, Knowledge, and Truth from a Human Vantage Point.
Massimi, M.
EU government bodies
1/01/16 → 30/06/21
Project: Research

1 Chapter

Investing in fundamental research: for whom? A philosopher's perspective
Massimi, M., 30 Oct 2020, (E-pub ahead of print) The Economics of Big Science: Essays by Leading Scientists and Policy Makers . Beck, H. P. & Charitos, P. (eds.). Springer, p. 113-116 4 p. (Science Policy Reports).
Research output: Chapter in Book/Report/Conference proceeding › Chapter

Open Access
File

4 Invited talk
1 Oral presentation

Scientific pluralism and the problem of inconsistent models
Michela Massimi (Keynote speaker)
28 Sept 2020
Activity: Academic talk or presentation types › Invited talk
Investing in fundamental science - for whom?
Michela Massimi (Invited speaker)
25 Jun 2019
Activity: Academic talk or presentation types › Oral presentation
AI for 21st century discovery
Michela Massimi (Invited speaker)
5 Dec 2018
Activity: Academic talk or presentation types › Invited talk

Michela Massimi
- Michela.Massimied.acuk
- School of Philosophy, Psychology and Language Sciences - Personal Chair of Philosophy of Science
Person: Academic: Research Active

Cite this

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title = "Perspectival modeling",

abstract = "The goal of this essay is to address the problem of inconsistent models, and in particular, the challenge it poses for perspectivism. I attend to two main tasks. I analyse the argument, draw attention to some hidden premises behind it, and deflate these premises. Then I introduce the notion of perspectival models as a distinctive class of modeling practices, whose primary function is heuristic. I illustrate perspectival modeling with two examples taken from contemporary high-energy physics at LHC, CERN, which are designed to show how a plurality of seemingly incompatible models (once suitably understood) is often methodologically crucial to advance the realist quest in cutting-edge areas of scientific inquiry.",

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T2 - Acádemie Internationale de Philosophie de Sciences (AIPS) Conference October 28-30, 2016

Y2 - 28 October 2016 through 30 October 2016

ER -

Perspectival modeling

Abstract / Description of output

Access to Document

Fingerprint

Projects

Perspectival Realism. Science, Knowledge, and Truth from a Human Vantage Point.

Research output

Investing in fundamental research: for whom? A philosopher's perspective

Activities

Scientific pluralism and the problem of inconsistent models

Investing in fundamental science - for whom?

AI for 21st century discovery

Profiles

Michela Massimi

Cite this