Not to be confused with Evolution of nervous systems, Neural development, or Neural Darwinism.
Neuroevolution, or neuro-evolution, is a form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, and rules.[1] It is most commonly applied in artificial life, general game playing[2] and evolutionary robotics. The main benefit is that neuroevolution can be applied more widely than supervised learning algorithms, which require a syllabus of correct input-output pairs. In contrast, neuroevolution requires only a measure of a network's performance at a task. For example, the outcome of a game (i.e., whether one player won or lost) can be easily measured without providing labeled examples of desired strategies. Neuroevolution is commonly used as part of the reinforcement learning paradigm, and it can be contrasted with conventional deep learning techniques that use backpropagation (gradient descent on a neural network) with a fixed topology.
^Stanley, Kenneth O. (2017-07-13). "Neuroevolution: A different kind of deep learning". O'Reilly Media. Retrieved 2017-09-04.
^Risi, Sebastian; Togelius, Julian (2017). "Neuroevolution in Games: State of the Art and Open Challenges". IEEE Transactions on Computational Intelligence and AI in Games. 9: 25–41. arXiv:1410.7326. doi:10.1109/TCIAIG.2015.2494596. S2CID 11245845.
Neuroevolution, or neuro-evolution, is a form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks (ANN)...
NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm (GA) for the generation of evolving artificial neural networks (a neuroevolution...
science at the University of Central Florida known for creating the Neuroevolution of augmenting topologies (NEAT) algorithm. He coauthored Why Greatness...
Neurobiological effects of physical exercise Evolution of nervous systems Neuroevolution History of neuroscience Neuron doctrine Category: History of neuroscience...
following important features which distinguish it from previous works in neuroevolution. It introduces a genetic encoding called common genetic encoding (CGE)...
Miikkulainen, Risto (2013). "Human-Like Combat Behaviour via Multiobjective Neuroevolution" (PDF). Believable bots. Springer Berlin Heidelberg. p. 123.[permanent...
landscape is dynamic, complex, or involves competitive interactions. Neuroevolution – Similar to genetic programming but the genomes represent artificial...
has seen strong performance in both the field of games and robotics. Neuroevolution involves the use of both neural networks and evolutionary algorithms...
FP, Madhavan V, Conti E, Lehman J, Stanley KO, Clune J (2017). "Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep...
PMID 12616926. S2CID 195293070. Decety, Jean (November 1, 2014). "The Neuroevolution of Empathy and Caring for Others: Why It Matters for Morality". New...
algorithms, such as the POET algorithm and a sequence of papers on neuroevolution. Uber AI was shut down in May 2020. In August 2017, Dara Khosrowshahi...
Neat, an old term for horned oxen Neat Records, a British record label Neuroevolution of augmenting topologies (NEAT), a genetic algorithm (GA) for the generation...
Miikkulainen, Risto (1999), "Solving non-Markovian control tasks with neuroevolution" (PDF), IJCAI 99, Morgan Kaufmann, retrieved 5 August 2017 Syed, Omar...
higher neurological complexity, as in, for instance, the Baldwin effect. Neuroevolution Program-based simulations contain organisms with a "genome" language...
Tracking, a program run by NASA and the JPL to discover near-Earth objects Neuroevolution of augmenting topologies, a genetic algorithm for the generation of...
psych.59.103006.093625. PMID 17550343. Decety J (August 2011). "The neuroevolution of empathy". Annals of the New York Academy of Sciences. 1231 (1): 35–45...
2021. Retrieved 3 February 2016. Bernston GG, Cacioppo JT (2007). "The neuroevolution of motivation". In Gardner WL, Shah JY (eds.). Handbook of Motivation...
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