## Reconstructing Reality: Models, Mathematics, and SimulationsAttempts to understand various aspects of the empirical world often rely on modelling processes that involve a reconstruction of systems under investigation. Typically the reconstruction uses mathematical frameworks like gauge theory and renormalization group methods, but more recently simulations also have become an indispensable tool for investigation. This book is a philosophical examination of techniques and assumptions related to modelling and simulation with the goal of showing how these abstract descriptions can contribute to our understanding of the physical world. Particular issues include the role of fictional models in science, how mathematical formalisms can yield physical information, and how we should approach the use of inconsistent models for specific types of systems. It also addresses the role of simulation, specifically the conditions under which simulation can be seen as a technique for measurement, replacing more traditional experimental approaches. Inherent worries about the legitimacy of simulation "knowledge" are also addressed, including an analysis of verification and validation and the role of simulation data in the search for the Higgs boson. In light of the significant role played by simulation in the Large Hadron Collider experiments, it is argued that the traditional distinction between simulation and experiment is no longer applicable in some contexts of modern science. Consequently, a re-evaluation of the way and extent to which simulation delivers empirical knowledge is required. "This is a, lively, stimulating, and important book by one of the main scholars contributing to current topics and debates in our field. It will be a major resource for philosophers of science, their students, scientists interested in examining scientific practice, and the general scientifically literate public."-Bas van Fraassen, Distinguished Professor of Philosophy, San Francisco State University |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

Introduction | 1 |

Part I Mathematics Explanation and Understanding | 13 |

Problems and Perspectives | 83 |

The New Reality | 197 |

317 | |

327 | |

### Other editions - View all

### Common terms and phrases

accuracy aspects assumptions BCS theory behaviour calculation Cartwright chapter characterisation claim computational model concrete construction context Cooper pairs correlation crucial defined described detector determine discretisation discussion dynamics electromagnetic electrons energy epistemic equations error event example experimental data fictional models flow fluid function fundamental GEANT4 genetics H-W law Hamiltonian Hence Higgs Higgs boson idealisation important inconsistent interaction interpretive models involves issues kind knowledge lattice liquid drop model mathematical abstraction mathematical explanation Maxwell’s measurement mechanical ment methodology methods microscopic notion nuclear models nucleons nucleus Oberkampf paraconsistent logic parameters particles perspectivism phase transitions phenomena philosophical physical information physical system population population genetics predictions problem quantum question relation representation representative model role scientific sense shell model simply simulated data solution specific statistical structure superconductivity target system theoretical theory tion types typically uncertainty understanding validation experiments verification wavefunction Winsberg words