Adaptation on rugged landscapes
Management Science
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
Platform Leadership
Genome Growth and the Evolution of the Genotype-Phenotype Map
Evolution and Biocomputation, Computational Models of Evolution
Genetic Programming IV: Routine Human-Competitive Machine Intelligence
Genetic Programming IV: Routine Human-Competitive Machine Intelligence
Speed and Search: Designing Organizations for Turbulence and Complexity
Organization Science
Invisible Engines: How Software Platforms Drive Innovation and Transform Industries
Invisible Engines: How Software Platforms Drive Innovation and Transform Industries
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Modeling open-ended technological evolution is notoriously challenging. The most successful models to date have been grounded in specific domains such as electronic circuit design. This paper presents an alternative approach based on a generalization of Kauffman's NK model. In this approach, boundedly rational agents combine components into products and systems whose value is determined by a random fitness landscape in which components may vary in their pleiotropy, or the number of genotypic functions they enable. The authors are developing a family of agent-based models using this framework, the first of which explores the evolution of platform architectures. Preliminary results from this model show that platforms emerge most strongly under conditions of frequent but moderate environmental change or a moderate number of correlated market niches.