Title | ||
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Neminem laedere. An evolutionary agent-based model of the interplay between punishment and damaging behaviours |
Abstract | ||
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This article aims at contributing to the discussion about the relationships between ICT, computer science and policy-making by focusing on agent-based social simulation. Enabled, from a technical point of view, by the developments of Distributed Artificial Intelligence in the 1990s and by the features of the object-oriented programming paradigm, agent-based social simulations are a tool for the analysis of social dynamics that can be used also to support the design and the evaluation of public policies. After a brief description of social simulation paradigm and of its impact on social sciences, the paper presents a simple agent-based model devised to analyze, even if in a very abstract way, a phenomenon that can rouse the interest of legal scientists: the interplay between damaging behaviors, punishment and social mechanisms of learning and imitation. Our goal is to show how agent-based simulation can be used not only to illuminate basic mechanisms underlying social phenomena but also to reflect, in an innovative way, on how society can deal with them. |
Year | DOI | Venue |
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2013 | 10.1007/s10506-013-9146-y | Artificial Intelligence and Law |
Keywords | DocType | Volume |
policy making,damaging behaviours,agent-based social simulation,punishment,artificial societies | Journal | 21 |
Issue | ISSN | Citations |
4 | 1572-8382 | 1 |
PageRank | References | Authors |
0.37 | 22 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nicola Lettieri | 1 | 3 | 1.08 |
Domenico Parisi | 2 | 745 | 101.62 |