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Mathematical modeling: dynamics of nonlinear systems and chaos.
Socio-economic framework.

Aprile, 16. 2015

This course is designed to be a bridge between the study of mathematics and the application of mathematics to various fields. It provides an overview of how the mathematical pieces of an applied problem fit together.

Mathematical modeling is the process of creating a mathematical representation of some phenomenon in order to gain a better understanding of that phenomenon. The main goal of this course is to learn how to make creative use of some mathematical tools, such as difference equations, ordinary and partial differential equations, and numerical analysis, to build a mathematical description of biological, social and economic phenomena.

For info/scheduling click HERE or mail to cecconi.federico@gmail.com

Lecture @ Szeged

The mindmap from Mario Paolucci’s invited lecture in David Hales’ doctoral course in Sezged is downloadable on the xmind website.

Luis Gustavo Nardin wins the best student paper award at SSC 2014

We are delighted to announce that Luis Gustavo Nardin has obtained the “best student paper award at SSC 2014” with the paper From Anarchy to Monopoly: How Competition and Protection Shaped Mafia’s Behavior

On Agent-Based Modelling and Computational Social Science

We’re glad to announce a new paper from LABSS as a contribution to the debate on the approach to computational social science: On Agent-Based Modelling and Computational Social Science.

In the first part of the paper, the field of Agent-Based Modelling is discussed focusing on the role of generative theories, aiming at explaining phenomena by growing them. After a brief analysis of the major strengths of the field some crucial weaknesses are analysed. In particular, the generative power of ABM is found to have been underexploited, as the pressure for simple recipes has prevailed and shadowed the application of rich cognitive models. In the second part of the paper, the renewal of interest for Computational Social Science is focused upon, and several of its variants, such as deductive, generative, and complex CSS, are identified and described. In the concluding remarks, an interdisciplinary variant, which takes after ABM, reconciling it with the quantitative one, is proposed as a fundamental requirement for a new program of the CSS.

doi: 10.3389/fpsyg.2014.00668

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