Neminem laedere. An evolutionary agent-based model of the interplay between punishment and damaging behaviours

Artificial Intelligence and Law 21 (4):425-453 (2013)

Abstract
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.
Keywords Artificial societies  Agent-based social simulation  Policy making  Punishment  Damaging behaviours
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DOI 10.1007/s10506-013-9146-y
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Social Theory and Social Structure.Lawrence Haworth - 1961 - British Journal for the Philosophy of Science 11 (44):345-346.

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