Artificial neural networks in models of specialization, guild evolution and sympatric speciation

• Published in: Philosophical transactions of the Royal Society of London. Series B. Biological sciences Vol. 362; no. 1479; pp. 431 - 440
• Main Authors: Holmgren, Noél M.A, Norrström, Niclas, Getz, Wayne M
• Format: Journal Article
• Language: English
• Published: London The Royal Society 29.03.2007
• Subjects: Adaptation, Biological; Adaptation, Physiological; Animals; Diet; Disruptive selection; Evolution; Feeding Behavior - physiology; Genetic mutation; Genetic Speciation; Host; Insect; Insecta - genetics; Insecta - physiology; Mimicry; Mutation; Neural Networks (Computer); Parasite; Parasite hosts; Phenotypes; Phytophagous insects; Plant; Plants - metabolism; Reproduction; Reproductive isolation; Self organizing systems; Sexual Behavior, Animal - physiology; Speciation

Sympatric speciation can arise as a result of disruptive selection with assortative mating as a pleiotropic by-product. Studies on host choice, employing artificial neural networks as models for the host recognition system in exploiters, illustrate how disruptive selection on host choice coupled wit...