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Predicting the Learning Diffusion and Inheritance of Behavioural Innovations in Animal Populations.

Predicting the Learning Diffusion and Inheritance of Behavioural Innovations in Animal Populations.
预测动物群体行为创新的学习扩散和遗传。
批准号:
BB/D015812/1
负责人:
Kevin Laland
金额:
$35.52万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2007
资助国家:
英国
项目状态:
已结题
起止时间:
2007 至 --

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中文摘要
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英文摘要
The aim of this research is to increase our understanding of the processes by which new knowledge and skills is transferred between animals, including humans, through copying ('social learning'). For human beings, imitation and teaching are thought to be the most important processes by which knowledge spreads. However, in other animals there is little evidence that teaching occurs but nonetheless inexperienced and young individuals pick up clues from more knowledgeable others concerning, for instance, the identity of predators or how best to process foods. This social learning can generate 'traditions' for performing particular behaviour patterns, for instance, eating specific foods, or taking particular pathways. As a consequence, the behaviour of animals may vary from one population to the next, not just because they possess different genes, or are exposed to different environmental resources, but also because they have learned different habits from more experienced members of their population. A challenge for researchers studying animal behaviour is to identify these 'traditions' and to work out how novel behaviour and skills ('innovations') spread through populations. This research programme will use mathematics and statistics to try to determine when animals acquire their behaviour through social learning, and how novel behaviours spread through social learning in animal populations. These mathematical predictions will be tested with laboratory experiments with birds and through analyses of chimpanzee and dolphin behaviour. The information generated will be useful to a variety of researchers, including biologists, psychologists and economists.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.anbehav.2008.07.011
发表时间: 2008
期刊: Animal Behaviour
影响因子: 2.5
作者: [Hoppitt W]
通讯作者: Hoppitt W
DOI: 10.1371/journal.pone.0042044
发表时间: 2012
期刊: PloS one
影响因子: 3.7
作者: [Hoppitt W, Samson J, Laland KN, Thornton A]
通讯作者: Thornton A
DOI: 10.3758/lb.38.3.243
发表时间: 2010-08-01
期刊: LEARNING & BEHAVIOR
影响因子: 1.8
作者: [Hoppitt, Will, Kandler, Anne, Laland, Kevin N.]
通讯作者: Laland, Kevin N.
Understanding and predicting the diffusion of innovations in animal populations
  • 批准号:
    BB/I007997/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $50.84万
  • 财政年份:
    2011
  • 负责人:
    Kevin Laland
  • 依托单位:
Experimental investigation of an evolutionary hypothesis concerning adaptations in stickleback social learning.
  • 批准号:
    NE/D010365/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $31.29万
  • 财政年份:
    2006
  • 负责人:
    Kevin Laland
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: