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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The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms,erestingly grown in scope to include generating computer programs. Indeed, recent studies have demonstrated how LLMs can enable highly proficient genetic programming (GP) algorithms and novel evolutionary algorithms more broadly. Motivated by these opportunities, this paper introduces ., an open-sou

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,GP for Continuous Control: Teacher or?Learner? The Case of Simulated Modular Soft Robots,ivariate real function .. We use genetic programming (GP) for solving this optimization problem. Namely, we employ a multi-tree-based GP variant, where a candidate solution is an array of . trees, each encoding a univariate function of the agent observation. We compare this form of optimization agai

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,Let’s Evolve Intelligence, Not Solutions, 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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1932-0167 of theoretical contributions and state-of-the-art real-world.Genetic Programming Theory and Practice brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical appl