Evolution of Artificial Intelligence, Continued

Created by W.Langdon from gp-bibliography.bib Revision:1.9101

@InProceedings{Spector:2025:GPTP,

• author = "Lee Spector and Ryan Bahlous-Boldi and Paul Vander Vort and Niko Lorantos",
• title = "Evolution of Artificial Intelligence, Continued",
• booktitle = "Genetic Programming Theory and Practice XXII",
• year = "2025",
• editor = "Bogdan Burlacu and Fabricio {Olivetti de Franca} and Alexander Lalejini and Stephen Kelly and Wolfgang Banzhaf",
• series = "Genetic and Evolutionary Computation",
• pages = "389--404",
• address = "Michigan State University, USA",
• month = jun # " 5-7",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Artificial Intelligence, AI, Deep learning, ANN, Lexicase selection",
• isbn13 = "978-981-95-6397-5",
• DOI = "10.1007/978-981-95-6398-2_19",
• abstract = "we revisit issues raised in Evolution of artificial intelligence, which was published in the journal Artificial Intelligence in 2006 \cite{SPECTOR20061251}. Two decades later, we consider ways in which evolutionary concepts and mechanisms have influenced the development of AI in the intervening years, and we discuss ways in which we might expect them to influence the field going forward. We focus on two strengths of evolutionary methods, their capacity for structural innovation and their ability to leverage adaptive diversity. We present examples of these strengths from our recent work and argue that they are indicative of contributions that evolutionary methods can be expected to make to the development of AI technologies in the future.",
• notes = "published in 2026 after the workshop",

}

Genetic Programming entries for Lee Spector Ryan Boldi Paul Vander Vort Niko Lorantos

Citations