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An action network and an internal model of the environment are incorporated into the recurrent neural network; lookahead planning is performed while configuring the action network through learning in the internal model.<\/jats:p><jats:p>A genetic algorithm is applied to the design of the neural networks. The effectiveness of this model is evaluated by applying it to the game of \u201ctic\u2010tac\u2010toe,\u201d and the following result is obtained. It is possibly more effective to perform learning in the internal model by learning algorithms than by memorizing input\u2010output correspondences.<\/jats:p>","DOI":"10.1002\/scj.4690270507","type":"journal-article","created":{"date-parts":[[2007,7,8]],"date-time":"2007-07-08T10:50:47Z","timestamp":1183891847000},"page":"64-73","source":"Crossref","is-referenced-by-count":2,"title":["Coevolution in recurrent neural networks using genetic algorithms"],"prefix":"10.1002","volume":"27","author":[{"given":"Yuji","family":"Sato","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tatsumi","family":"Furuya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2007,3,21]]},"reference":[{"key":"e_1_2_1_2_2","first-page":"188","volume-title":"Concerning the Emergence of Tag\u2010Mediated Lookahead on Classifier Systems. 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