Cited By
View all- Shorten DNitschke G(2015)Evolving Generalised Maze SolversApplications of Evolutionary Computation10.1007/978-3-319-16549-3_63(783-794)Online publication date: 17-Mar-2015
General intelligence through prolonged evolution of densely connected neural networks
Authors: 
Padmini Rajagopalan, Aditya Rawal, Kay E. Holekamp, Risto MiikkulainenAuthors Info & Claims
Pages 35 - 36
Abstract
Different species of animals have vast differences in how general their learning abilities and behaviors are. This paper analyzes the effect of network connection density and prolonged evolution on general intelligence. Using the NEAT algorithm for neuroevolution, network structures with different connectivities were evaluated in recognizing digits and their mirror images. These experiments show that general intelligence, i.e. recognition of previously unseen examples, increases with increase in connectivity. General intelligence also increases with the number of generations in prolonged evolution, even when performance no longer improves in the known examples. This outcome suggests that general intelligence depends on specific anatomical and environmental factors.
References
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P. Rajagopalan, A. Rawal, R. Miikkulainen, M. A. Wiseman, and K. E. Holekamp. The role of reward structure, coordination mechanism and net return in the evolution of cooperation. In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), pages 258--265, 2011.
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A. Rawal, P. Rajagopalan, and R. Miikkulainen. Constructing competitive and cooperative agent behavior using coevolution. In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2010), pages 107--114, August 2010.
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A. Rawal, P. Rajagopalan, R. Miikkulainen, and K. Holekamp. Evolution of a communication code in cooperative tasks. In Artificial Life, volume 13, pages 243--250, 2012.
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K. O. Stanley and R. Miikkulainen. Evolving neural networks through augmenting topologies. Evolutionary Computation, 10(2):99--127, 2002.
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H. L. J. van der Maas, C. V. Dolan, R. P. P. P. Grasman, J. M. Wicherts, H. M. Huizenga, and M. E. J. Raijmakers. A dynamical model of general intelligence: The positive manifold of intelligence by mutualism. Psychological Review, 113(4):842--861, 2006.
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- General intelligence through prolonged evolution of densely connected neural networks
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July 2014
1524 pages
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Published: 12 July 2014
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View all- Shorten DNitschke G(2015)Evolving Generalised Maze SolversApplications of Evolutionary Computation10.1007/978-3-319-16549-3_63(783-794)Online publication date: 17-Mar-2015
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