Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View

Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View PDF

Author: R. Hegselmann

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 332

ISBN-13: 9401586861

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Model building in the social sciences can increasingly rely on well elaborated formal theories. At the same time inexpensive large computational capacities are now available. Both make computer-based model building and simulation possible in social science, whose central aim is in particular an understanding of social dynamics. Such social dynamics refer to public opinion formation, partner choice, strategy decisions in social dilemma situations and much more. In the context of such modelling approaches, novel problems in philosophy of science arise which must be analysed - the main aim of this book. Interest in social simulation has recently been growing rapidly world- wide, mainly as a result of the increasing availability of powerful personal computers. The field has also been greatly influenced by developments in cellular automata theory (from mathematics) and in distributed artificial intelligence which provided tools readily applicable to social simulation. This book presents a number of modelling and simulation approaches and their relations to problems in philosophy of science. It addresses sociologists and other social scientists interested in formal modelling, mathematical sociology, and computer simulation as well as computer scientists interested in social science applications, and philosophers of social science.

Science in the Age of Computer Simulation

Science in the Age of Computer Simulation PDF

Author: Eric Winsberg

Publisher: University of Chicago Press

Published: 2010-10-15

Total Pages: 168

ISBN-13: 0226902056

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Computer simulation was first pioneered as a scientific tool in meteorology and nuclear physics in the period following World War II, but it has grown rapidly to become indispensible in a wide variety of scientific disciplines, including astrophysics, high-energy physics, climate science, engineering, ecology, and economics. Digital computer simulation helps study phenomena of great complexity, but how much do we know about the limits and possibilities of this new scientific practice? How do simulations compare to traditional experiments? And are they reliable? Eric Winsberg seeks to answer these questions in Science in the Age of Computer Simulation. Scrutinizing these issue with a philosophical lens, Winsberg explores the impact of simulation on such issues as the nature of scientific evidence; the role of values in science; the nature and role of fictions in science; and the relationship between simulation and experiment, theories and data, and theories at different levels of description. Science in the Age of Computer Simulation will transform many of the core issues in philosophy of science, as well as our basic understanding of the role of the digital computer in the sciences.

Simulation For The Social Scientist

Simulation For The Social Scientist PDF

Author: Gilbert, Nigel

Publisher: McGraw-Hill Education (UK)

Published: 2005-02-01

Total Pages: 309

ISBN-13: 0335216005

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Social sciences -- Simulation methods. Social interaction -- Computer simulation. Social sciences -- Mathematical models. (publisher)

Methodological Investigations in Agent-Based Modelling

Methodological Investigations in Agent-Based Modelling PDF

Author: Eric Silverman

Publisher: Springer

Published: 2018-02-20

Total Pages: 235

ISBN-13: 3319724088

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This open access book examines the methodological complications of using complexity science concepts within the social science domain. The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences. Following an in-depth analysis of the potential impact of these methods on social science and social theory, the text provides substantive examples of the application of agent-based models in the field of demography. This work offers a unique combination of applied simulation work and substantive, in-depth philosophical analysis, and as such has potential appeal for specialist social scientists, complex systems scientists, and philosophers of science interested in the methodology of simulation and the practice of interdisciplinary computing research.​

Simulation and Social Theory

Simulation and Social Theory PDF

Author: Sean Cubitt

Publisher: SAGE

Published: 2000-12-22

Total Pages: 181

ISBN-13: 0857026402

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This insightful book is the first to critically examine the ideas of some of the key thinkers of simulation. It addresses the work of Baudrillard, Debord, Virilio and Eco, clarifying their arguments by referring to the intellectual and social worlds each emerged from distilling what is important from their discussions. The book argues for a critical and selective use of the concept of simulation. Like the idea of ideology, simulation is a political theory, but it has also become a deeply pessimistic theory of the end of history and the impossibility of positive change. Through a series of reflections on the meaning of theme parks, warfare and computer modelling, Sean Cubitt demonstrates the strengths and limitations of the simulation thesis.

The Explanatory Power of Models

The Explanatory Power of Models PDF

Author: Robert Franck

Publisher: Springer Science & Business Media

Published: 2013-11-11

Total Pages: 305

ISBN-13: 1402046766

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This book progressively works out a method of constructing models which can bridge the gap between empirical and theoretical research in the social sciences. It aims to improve the explanatory power of models. The issue is quite novel, and has benefited from a thorough examination of statistical and mathematical models, conceptual models, diagrams and maps, machines, computer simulations, and artificial neural networks.

The SAGE Handbook of the Philosophy of Social Sciences

The SAGE Handbook of the Philosophy of Social Sciences PDF

Author: Ian C Jarvie

Publisher: SAGE

Published: 2011-02-17

Total Pages: 773

ISBN-13: 1446209717

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- what is the relationship between the social sciences and the natural sciences? - where do today′s dominant approaches to doing social science come from? - what are the main fissures and debates in contemporary social scientific thought? - how are we to make sense of seemingly contrasting approaches to how social scientists find out about the world and justify their claims to have knowledge of it? In this exciting handbook, Ian Jarvie and Jesús Zamora-Bonilla have put together a wide-ranging and authoritative overview of the main philosophical currents and traditions at work in the social sciences today. Starting with the history of social scientific thought, this handbook sets out to explore that core fundamentals of social science practice, from issues of ontology and epistemology to issues of practical method. Along the way it investigates such notions as paradigm, empiricism, postmodernism, naturalism, language, agency, power, culture, and causality. Bringing together in one volume leading authorities in the field from around the world, this book will be a must-have for any serious scholar or student of the social sciences.

The Science and Art of Simulation I

The Science and Art of Simulation I PDF

Author: Michael M. Resch

Publisher: Springer

Published: 2017-04-07

Total Pages: 192

ISBN-13: 3319557629

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The new book series “The Science and Art of Simulation” (SAS) addresses computer simulations as a scientific activity and engineering artistry (in the sense of a technē). The first volume is devoted to three topics: 1. The Art of Exploring Computer Simulations Philosophy began devoting attention to computer simulations at a relatively early stage. Since then, the unquestioned point of view has been that computer simulation is a new scientific method; the philosophy of simulation is therefore part of the philosophy of science. The first section of this volume discusses this implicit, unchallenged assumption by addressing, from different perspectives, the question of how to explore (and how not to explore) research on computer simulations. Scientists discuss what is still lacking or considered problematic, while philosophers draft new directions for research, and both examine the art of exploring computer simulations. 2. The Art of Understanding Computer Simulations The results of computer simulations are integrated into both political and social decisions. It is implicitly assumed that the more detailed, and consequently more realistic, a computer simulation is, the more useful it will be in decision-making. However, this idea is by no means justified. Different types of computer simulations have to be differentiated, which in turn requires the specific skill of understanding computer simulation results. The articles in this section examine the capabilities and limits of simulation results in political and social contexts, exploring the art of understanding computer simulation results. 3. The Art of Knowing through Computer Simulations? The advent of computer simulation in today’s scientific practices challenges the order of science. What kind of knowledge is gained through computer simulations is the key question in this section. Computer simulations are often compared to experiments or to arguments, and the transformation of our traditional scientific notions might be more challenging than expected – these Ideas are put forward in the third section to conceptualize the art of knowing through computer simulations.

Philosophy of Computing

Philosophy of Computing PDF

Author: Björn Lundgren

Publisher: Springer Nature

Published: 2022-05-04

Total Pages: 264

ISBN-13: 3030752674

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This book features a unique selection of works presented at the 2019 annual international conference of the International Association for Computing and Philosophy (IACAP). Every contribution has been peer-reviewed, revised, and extended. The included chapters are thematically diverse; topics include epistemology, dynamic epistemic logic, topology, philosophy of science and computation, game theory and abductive inferences, automated reasoning and mathematical proofs, computer simulations, scientific modelling, applied ethics, pedagogy, human-robot interactions, and big data, algorithms, and artificial intelligence. The volume is a testament to the value of interdisciplinary approaches to the computational and informational turn. We live in a time of tremendous development, which requires rigorous reflection on the philosophical nature of these technologies and how they are changing the world. How can we understand these technologies? How do these technologies change our understanding of the world? And how do these technologies affect our place as humans in the world? These questions, and more, are addressed in this volume which is of interest to philosophers, engineers, and computer scientists alike.

Methodological Investigations in Agent-Based Modelling

Methodological Investigations in Agent-Based Modelling PDF

Author: Eric Silverman

Publisher:

Published: 2018

Total Pages: 235

ISBN-13: 9783319724072

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This open access book examines the methodological complications of using complexity science concepts within the social science domain. The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences. Following an in-depth analysis of the potential impact of these methods on social science and social theory, the text provides substantive examples of the application of agent-based models in the field of demography. This work offers a unique combination of applied simulation work and substantive, in-depth philosophical analysis, and as such has potential appeal for specialist social scientists, complex systems scientists, and philosophers of science interested in the methodology of simulation and the practice of interdisciplinary computing research.

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