Titlebook: Genetic Programming Theory and Practice XX; Stephan Winkler,Leonardo Trujillo,Ting Hu Book 2024 The Editor(s) (if applicable) and The Auth

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https://doi.org/10.1057/9781137483942 suffer from some limiting assumptions and perspectives that perhaps fundamentally prevent us from pursuing the creation of strong, or at least strongish, AI. This position paper offers several contrarian posits, namely that it is impossible to engineer intelligence, that there is no Occam’s Razor f

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How the Combinatorics of Neutral Spaces Leads Genetic Programming to Discover Simple Solutions,orks, is key to understanding the trajectory an evolutionary process takes from an initial to a target solution. In this chapter we use a Linear Genetic Programming system to demonstrate that the abundance of phenotypes is determined by the combinatorics offered in its neutral components. This trans

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The Impact of Step Limits on Generalization and Stability in Software Synthesis, different step limits?on several benchmark problems, and see that these limits do affect the evolved behaviors both in terms of . and .. To assess stability?, we ran evolved programs with a range of step limits?, and found several cases where programs failed to generalize with the step limit used d

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Genetic Programming Techniques for Glucose Prediction in People with Diabetes, explores the application of Grammatical Evolution, a genetic programming technique, for glucose prediction. It discusses how Grammatical Evolution has been employed in addressing various challenges related to glucose prediction, such as limited actual recorded data, prediction safety, interpretabil

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