The economics of evolutionary programming

Abstract In this paper, we present an economic model of evolutionary computation technologies, highlighting how alternative propertization and liability mechanisms shape the balance between “exploration” and “exploitation” in evolutionary research. We consider two interrelated effects of evolutionary experimentation: (i) the positive externalities that occur when superior mutations enhance performance, benefitting all subsequent implementations of the algorithm; (ii) the negative externalities that arise when inferior mutations cause harm. Our analysis reveals that experimentation reaches the optimal stopping point only with a combined use of propertization and liability instruments. If intellectual property frameworks fail to propertize benefits from evolutionary processes, limiting liability may be a second-best means of encouraging experimentation.

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Publication Details

Journal
European Journal of Law and Economics
Published
2026-08-20
DOI
https://doi.org/10.1007/s10657-026-09884-0
Primary Topic
Evolutionary Algorithms and Applications
Type
article
Field-Weighted Citation Impact
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article

The economics of evolutionary programming

Barbara Luppi, Francesco Parisi
European Journal of Law and Economics
Evolutionary Algorithms and Applications
article

The economics of evolutionary programming

Barbara Luppi, Francesco Parisi
article en

Abstract

Abstract In this paper, we present an economic model of evolutionary computation technologies, highlighting how alternative propertization and liability mechanisms shape the balance between “exploration” and “exploitation” in evolutionary research. We consider two interrelated effects of evolutionary experimentation: (i) the positive externalities that occur when superior mutations enhance performance, benefitting all subsequent implementations of the algorithm; (ii) the negative externalities that arise when inferior mutations cause harm. Our analysis reveals that experimentation reaches the optimal stopping point only with a combined use of propertization and liability instruments. If intellectual property frameworks fail to propertize benefits from evolutionary processes, limiting liability may be a second-best means of encouraging experimentation.

European Journal of Law and Economics
University of Modena and Reggio Emilia (IT), University of Minnesota (US), University of Bologna (IT)
Openalex Percentile: Top 99%
Evolutionary Algorithms and Applications
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