Title |
On agent-based modeling and computational social science
|
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Published in |
Frontiers in Psychology, July 2014
|
DOI | 10.3389/fpsyg.2014.00668 |
Pubmed ID | |
Authors |
Rosaria Conte, Mario Paolucci |
Abstract |
In the first part of the paper, the field of agent-based modeling (ABM) 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 analyzed. 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 (CSS) 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 2 | 33% |
Germany | 1 | 17% |
Argentina | 1 | 17% |
United States | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 1% |
Portugal | 2 | <1% |
Netherlands | 2 | <1% |
Sweden | 1 | <1% |
Peru | 1 | <1% |
Japan | 1 | <1% |
United States | 1 | <1% |
Unknown | 260 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 80 | 29% |
Researcher | 43 | 16% |
Student > Master | 33 | 12% |
Student > Bachelor | 18 | 7% |
Student > Doctoral Student | 14 | 5% |
Other | 41 | 15% |
Unknown | 43 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 46 | 17% |
Computer Science | 37 | 14% |
Engineering | 28 | 10% |
Psychology | 23 | 8% |
Environmental Science | 21 | 8% |
Other | 70 | 26% |
Unknown | 47 | 17% |