Levels of dynamics and adaptive behavior in evolutionary neural controllers

By Jesper Blynel, Dario Floreano. 2002

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In Artificial Intelligence

Citations in the corpus

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “That study put forward the idea that the learning of plastic networks as described in Blynel and Floreano (2002, 2003) was at that point still a proof-of-concept rather than a superior learning tool because networks with ﬁxed weights could achieve similar performance.”
Exploring the T-Maze: Evolving Learning-Like Robot Behaviors Using CTRNNs (2003, result): “This observation confirms our earlier results that CTRNNs, despite of their ability to display learning-likes abilities, lack the sensory-motor adaptability found in e.g. plastic Hebbian synapse networks [ 2 ].”
Evolutionary and Computational Advantages of Neuromodulated Plasticity (2008, background): “Fixed weight networks displayed some levels of adaptive behaviour by exploiting recurrent connections, and storing state-values in the activation of neurons as in (Blynel and Floreano, 2002; Stanley and Miikkulainen, 2003a).”
Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios (2008, background): “Fixed-weight networks could potentially display levels of learning-like behaviour by exploiting recurrent connections and storing state-values in the activation of neurons (Blynel and Floreano, 2002).”
Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills (2015, background): “Evolution and learning can be combined, wherein evolution creates an initial neural network and then a learning algorithm modifies its connections within the lifetime of the organism [5, 37, 47 – 49].”
Evolving plastic neural networks with novelty search (2010, background): “However, the synaptic connections in ANNs produced by NE are normally static, which may limit the adaptive dynamics the network can display during its lifetime (Blynel & Floreano, 2002).”