{"title":"自学习主体群体中的Baldwin效应模型","authors":"V. Red'ko, O. P. Mosalov, D. Prokhorov","doi":"10.1109/IJCNN.2005.1556071","DOIUrl":null,"url":null,"abstract":"We study an evolution model of adaptive self-learning agents. The control system of agents is based on a neural network adaptive critic design. Each agent is a broker that predicts stock price changes and uses its predictions for action selection. The agent tries to get rich by buying and selling stocks. We demonstrate that the Baldwin effect takes place in our model, viz., originally acquired adaptive policy of an agent-broker becomes inherited in the course of the evolution. In addition, we compare agent behavioral tactics with searching behavior of simple animals.","PeriodicalId":365690,"journal":{"name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A model of Baldwin effect in populations of self-learning agents\",\"authors\":\"V. Red'ko, O. P. Mosalov, D. Prokhorov\",\"doi\":\"10.1109/IJCNN.2005.1556071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study an evolution model of adaptive self-learning agents. The control system of agents is based on a neural network adaptive critic design. Each agent is a broker that predicts stock price changes and uses its predictions for action selection. The agent tries to get rich by buying and selling stocks. We demonstrate that the Baldwin effect takes place in our model, viz., originally acquired adaptive policy of an agent-broker becomes inherited in the course of the evolution. In addition, we compare agent behavioral tactics with searching behavior of simple animals.\",\"PeriodicalId\":365690,\"journal\":{\"name\":\"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.2005.1556071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.2005.1556071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A model of Baldwin effect in populations of self-learning agents
We study an evolution model of adaptive self-learning agents. The control system of agents is based on a neural network adaptive critic design. Each agent is a broker that predicts stock price changes and uses its predictions for action selection. The agent tries to get rich by buying and selling stocks. We demonstrate that the Baldwin effect takes place in our model, viz., originally acquired adaptive policy of an agent-broker becomes inherited in the course of the evolution. In addition, we compare agent behavioral tactics with searching behavior of simple animals.