Evolutionary Agents and Dynamic Analysis of Accident Law
Seagren, Chad W.
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We employ an agent-based computational model to gain insights regarding relationships in accident law that are often overlooked in neoclassical theorizing. We consider the situation faced by the inhabitants of Eggtopia, a fictitious society whose members search for and collect precious eggs. In the course of their productive efforts they occasionally experience destructive accidents with other individuals. The inhabitants face trade-offs in that engaging in behavior that increases their productivity may also increase the possibility of an accident. We demonstrate how the agent-based model developed in this paper can be used to answer the questions commonly addressed in the mainstream literature, while also opening up new avenues of investigation. While certain outcomes are consistent with neoclassical theory, we find that agents may elect to be careful even when the neoclassical theory predicts otherwise, and particular negligence rules tend to differ significantly in their ability to rid society of negligent behavior.
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