An Evolutionary Algorithm for Simulation of Animal Interactions

模拟动物相互作用的进化算法

• 批准号: 9904799
• 负责人: Winfried Just
• 金额: $ 14.48万
• 依托单位: Ohio University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-10-01 至 2002-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9904799&HistoricalAwards=false
• 关键词: Evolutionary; Algorithm; Simulation; Animal; Interactions

DBI 9904799, Just, Winfried. Ohio University. An Evolutionary Algorithm for Simulation of Animal Interactions.Project SummaryAnimals often fight over limited resources such as food, territory, or mates. Such fights usually involve ritualized behavior rather than unlimited aggression. Various game-theoretic models exist that predict under which conditions what kind of behavior would be most advantageous from an evolutionary point of view. The proposal aims at the development of an algorithm that simulates the evolution of behaviors for conflict resolution under minimal assumptions about payoffs and evolutionary constraints. An implementation of this algorithm will be made available to researchers of animal behavior via the World Wide Web. The algorithm will allow researchers to compare predictions of various existing models and hybrids thereof with empirical observations and will thus facilitate the choice of the model that best fits each particular case.

DBI 9904799，只是，温弗里德。俄亥俄州大学。一种模拟动物相互作用的进化算法。项目摘要动物经常为了有限的资源而争斗，比如食物、领土或配偶。这种争斗通常涉及仪式化的行为，而不是无限制的攻击。存在各种博弈论模型，从进化的角度预测在什么条件下哪种行为最有利。该提案旨在开发一种算法，模拟进化的行为解决冲突的最小假设下的收益和进化的约束。该算法的实现将通过万维网提供给动物行为研究人员。该算法将允许研究人员将各种现有模型及其混合模型的预测与经验观察进行比较，从而有助于选择最适合每个特定情况的模型。