Models of Science Dynamics: Encounters Between Complexity by Andrea Scharnhorst

By Andrea Scharnhorst

Models of technology Dynamics goals to seize the constitution and evolution of technological know-how, the rising area within which students, technological know-how and the conversation of technology turn into themselves the elemental items of analysis. as a way to trap the essence of phenomena as different because the constitution of co-authorship networks or the evolution of quotation diffusion styles, such versions might be represented by means of conceptual versions in keeping with historic and ethnographic observations, mathematical descriptions of measurable phenomena, or computational algorithms. regardless of its obtrusive value, the mathematical modeling of technology nonetheless lacks a unifying framework and a accomplished examine of the subject. This quantity fills this hole, reviewing and describing significant threads within the mathematical modeling of technology dynamics for a much wider educational viewers. The version sessions provided disguise stochastic and statistical types, system-dynamics techniques, agent-based simulations, population-dynamics types, and complex-network versions. The booklet includes an advent and a foundational bankruptcy that defines and operationalizes terminology utilized in the learn of technological know-how, in addition to a assessment bankruptcy that discusses the heritage of mathematical techniques to modeling technology from an algorithmic-historiography point of view. It concludes with a survey of last demanding situations for destiny technology types and their relevance for technological know-how and technology policy.

Show description

Read or Download Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences PDF

Best methodology books

The Transformation of Cities: Urban Theory and Urban Life

The purpose of the ebook is to ascertain the transformation of the town within the past due twentieth century and discover the ways that urban lifestyles is established. The shift from modern-industrial to information/consumption-based 'post-modern' towns is traced during the textual content. the point of interest is not only on the USA and Europe but in addition explores towns in different elements of the realm as urban development within the 21st century might be predominantly open air of those areas.

Researching 'Race' and Ethnicity: Methods, Knowledge and Power

'Gunaratnam's framework is wealthy in its exam and synthesis of methods to the examine of "race"… the present for the reader who does choose up the e-book is that the writer deftly articulates the advanced view of study on "race" first from the quantitative viewpoint after which skilfully strikes the reader to problems with "race" in qualitative study' - reports in Ethnicity and Nationalism 'This is a welcome ebook for these engaged in coverage and empirical paintings with an energetic examine time table… there's a point of theoretical sophistication within the textual content that's frequently lacking from texts all for tools during this zone' - Race kin Abstracts `The specific price of this ebook to readers lies within the dialogue of "race", ethnicity and learn matters inside of a political and social context.

Theoretical and practical reason in economics : capacities and capabilities

The purpose of the e-book is to argue for the recovery of theoretical and sensible cause to economics. It offers Nancy Cartwright and Amartya Sen{u2019}s rules as circumstances of this recovery and sees Aristotle as a power on their notion. It appears to be like at how we will be able to use those rules to advance a helpful realizing of sensible explanation for fixing concrete difficulties in technological know-how and society.

The Social Sciences of Quantification: From Politics of Large Numbers to Target-Driven Policies

This booklet information how quantification can serve either as facts and as an device of presidency, even if while facing records on employment, occupational well-being and monetary governance, or whilst constructing public administration or target-driven guidelines. within the strategy, it provides a thought-provoking homage to Alain Desrosières, who pioneered how one can examine huge numbers and the politics underlying them.

Extra info for Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences

Sample text

Readers of the book might like to do the same. Note that many different groupings of these terms are possible. Leydesdorff (Leydesdorff 1995) suggested a three-dimensional space of different units of analysis: social dimensions (people, institutions), institutional dimensions (rules, funding, metrics, indicators), and cognitive dimensions (texts, journals), see Fig. 3. The three derivative two-dimensional spaces represent different lines of research. • Social x institutional dimensions: Sociology of science • Social x cognitive dimensions: Scientometrics, informetrics • Institutional x cognitive dimensions: Philosophy of science, artificial intelligence 14 K.

Edward N. edu/archives/ sum2009/entries/models-science/. 4 Charles A. Lave and James G. March, An Introduction to Models in the Social Sciences (Lanham: University Press of America, 1993), 4. 5 John L. Casti, Alternate Realities: Mathematical Models of Nature and Man (New York: Wiley, 1989), 1. , all publications for one nation Computer code and parameters Calculated model result Comparison of empirical and simulated data Iterative model refinement Fig. 1 General model design, validation, and refinement process are sick).

6) and preferential attachment (Price 1976) as a structuring factor. Preferential attachment in the context of networks means that the wellconnected nodes are more likely to attract new links. 6 Universal Models vs. Domain-Specific Models Models can be designed at different levels of generality or universality. Universal models aim to simulate processes that hold true across different domains and datasets. Examples include scale-free network models (Barab´asi and Albert 1999) or small-world network models (Watts and Strogatz 1998) generating network structures that can be found in vastly diverse systems such as social, transportation, or biological networks.

Download PDF sample

Rated 4.69 of 5 – based on 43 votes