策略涌现:群聚体及其与模型复杂性的适应度关系

2013 Winter Simulations Conference (WSC) Pub Date : 2013-12-08 DOI:10.5555/2675983.2676168

Michael Wagner, Wentong Cai, M. Lees

{"title":"策略涌现:群聚体及其与模型复杂性的适应度关系","authors":"Michael Wagner, Wentong Cai, M. Lees","doi":"10.5555/2675983.2676168","DOIUrl":null,"url":null,"abstract":"In this paper we aim to examine emergent properties of agent-based models by using evolutionary algorithms. Taking the model of flocking boids as an example, we study and try to understand how the pressure of natural selection towards strategic behavior can result in emergent behavior. Furthermore we investigate how an increase of complexity in the model affects those properties and discover some counter-intuitive behavior in the process.","PeriodicalId":223717,"journal":{"name":"2013 Winter Simulations Conference (WSC)","volume":"242 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Emergence by strategy: Flocking boids and their fitness in relation to model complexity\",\"authors\":\"Michael Wagner, Wentong Cai, M. Lees\",\"doi\":\"10.5555/2675983.2676168\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we aim to examine emergent properties of agent-based models by using evolutionary algorithms. Taking the model of flocking boids as an example, we study and try to understand how the pressure of natural selection towards strategic behavior can result in emergent behavior. Furthermore we investigate how an increase of complexity in the model affects those properties and discover some counter-intuitive behavior in the process.\",\"PeriodicalId\":223717,\"journal\":{\"name\":\"2013 Winter Simulations Conference (WSC)\",\"volume\":\"242 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Winter Simulations Conference (WSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5555/2675983.2676168\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Winter Simulations Conference (WSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/2675983.2676168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

摘要

在本文中，我们的目的是通过使用进化算法来研究基于智能体的模型的涌现特性。以群集模型为例，我们研究并试图理解自然选择对策略行为的压力如何导致紧急行为。此外，我们研究了模型复杂性的增加如何影响这些特性，并发现了过程中的一些反直觉行为。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Emergence by strategy: Flocking boids and their fitness in relation to model complexity

In this paper we aim to examine emergent properties of agent-based models by using evolutionary algorithms. Taking the model of flocking boids as an example, we study and try to understand how the pressure of natural selection towards strategic behavior can result in emergent behavior. Furthermore we investigate how an increase of complexity in the model affects those properties and discover some counter-intuitive behavior in the process.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 Winter Simulations Conference (WSC)

自引率

0.00%

发文量