Intelligent Group Decision Systems and Preference Learning
智能群体决策系统和偏好学习
基本信息
- 批准号:RGPIN-2018-05903
- 负责人:
- 金额:$ 2.04万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2022
- 资助国家:加拿大
- 起止时间:2022-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Recent technological advances (e.g., Internet, email, and online social networks) have united information and people, but have accelerated the explosive growth of choices and information. This information and choice overload has made decision making harder, which can paralyze decision making for tasks ranging from simple daily-life decisions to high-risk business decisions. To overcome this decision-making complexity, intelligent decision systems (e.g., recommender systems) will play a crucial role in the near future to assist or automate our decision-making processes.One of the main endeavors in any intelligent decision system is learning the user preferences upon which decisions are ultimately made. Current systems (e.g., recommender systems) require users to constantly report their preferences (e.g., rate movies, books, etc.). This requirement imposes high cognitive burden on users, and consequently reduces their effectiveness. This research program's approach to preference learning is to minimize this burden, by requiring as little explicit information as possible from users to make intelligent decision systems practical and help preserve individual's privacy. This approach is possible due to the increasing availability of user behaviour data generated through online social networks, e-marketplaces, or any other Web or mobile applications. The focus of this proposal is group decision problems, which involve making decisions for a group of individuals who have their own personal and possibly conflicting preferences. Group decision problems are prevalent (e.g., decisions for social groups, business organizations, public policies, etc.). The problem of preference learning in group decision making is more predominant as the decision maker needs to learn a collection of group preferences, which can be challenging to obtain. The long-term objective of this research program is the development of practical group decision making algorithms, and their empirical and theoretical assessment. The program focuses on both preference learning---by reducing the explicit information needed for decision making---and the design of robust computationally-efficient algorithms, which can handle uncertain and noisy preferences. A variety of group decision problems will be studied, including voting, matching, and assignment. The program encompasses several key methodological themes such as stochastic optimization for incomplete preferences, probabilistic models for preference learning, and theoretical and empirical analyses of performance of algorithms for group decision making. The output of this program will help pave the way for intelligent decision systems to assist group decision making for individuals, organizations, businesses, and nations in a myriad of domains including health care, entertainment, public policy, marketing, and finance.
最近的技术进步(例如,互联网、电子邮件和在线社交网络)将信息和人联系在一起,但也加速了选择和信息的爆炸性增长。这种信息和选择过载使决策变得更加困难,这可能会使从简单的日常生活决策到高风险商业决策的各种任务的决策陷入瘫痪。为了克服这种决策的复杂性,智能决策系统(如推荐系统)将在不久的将来发挥关键作用来辅助或自动化我们的决策过程。任何智能决策系统的主要努力之一是学习最终做出决策的用户偏好。当前的系统(例如,推荐系统)要求用户不断地报告他们的偏好(例如,对电影、书籍等进行评级)。这一要求给用户带来了很高的认知负担,从而降低了他们的有效性。这个研究项目的偏好学习方法是将这种负担降到最低,要求用户提供尽可能少的显性信息,使智能决策系统变得实用,并帮助保护个人隐私。由于通过在线社交网络、电子市场或任何其他Web或移动应用程序生成的用户行为数据的可用性越来越高,这种方法是可能的。这一建议的重点是群体决策问题,这涉及到为一群具有自己的个人偏好且可能相互冲突的个人做出决策。群体决策问题很普遍(例如,针对社会团体、商业组织、公共政策等的决策)。群体决策中的偏好学习问题更为突出,因为决策者需要学习群体偏好的集合,而这些偏好的获取可能是具有挑战性的。这项研究计划的长期目标是开发实用的群体决策算法,并对其进行经验和理论评估。该计划侧重于偏好学习-通过减少决策所需的显性信息-以及设计稳健的计算效率高的算法,可以处理不确定和噪声的偏好。将研究各种群体决策问题,包括投票、匹配和分配。该程序包括几个关键的方法论主题,如不完全偏好的随机优化,偏好学习的概率模型,以及群体决策算法性能的理论和实证分析。该项目的成果将有助于为智能决策系统在医疗保健、娱乐、公共政策、营销和金融等众多领域帮助个人、组织、企业和国家进行群体决策铺平道路。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
SalehiAbari, Amirali其他文献
SalehiAbari, Amirali的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('SalehiAbari, Amirali', 18)}}的其他基金
Intelligent Group Decision Systems and Preference Learning
智能群体决策系统和偏好学习
- 批准号:
RGPIN-2018-05903 - 财政年份:2021
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Intelligent Group Decision Systems and Preference Learning
智能群体决策系统和偏好学习
- 批准号:
RGPIN-2018-05903 - 财政年份:2020
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Intelligent Group Decision Systems and Preference Learning
智能群体决策系统和偏好学习
- 批准号:
RGPIN-2018-05903 - 财政年份:2019
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Intelligent Group Decision Systems and Preference Learning
智能群体决策系统和偏好学习
- 批准号:
DGECR-2018-00136 - 财政年份:2018
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Launch Supplement
Intelligent Group Decision Systems and Preference Learning
智能群体决策系统和偏好学习
- 批准号:
RGPIN-2018-05903 - 财政年份:2018
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Group Decision Support Systems Leveraging Large-Scale Social Networks
利用大规模社交网络的群体决策支持系统
- 批准号:
487630-2016 - 财政年份:2016
- 资助金额:
$ 2.04万 - 项目类别:
Postdoctoral Fellowships
Identity through behaviour: learning behavioural profiles in electronic marketplaces
通过行为识别:学习电子市场中的行为概况
- 批准号:
391730-2010 - 财政年份:2012
- 资助金额:
$ 2.04万 - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
Identity through behaviour: learning behavioural profiles in electronic marketplaces
通过行为识别:学习电子市场中的行为概况
- 批准号:
391730-2010 - 财政年份:2011
- 资助金额:
$ 2.04万 - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
Identity through behaviour: learning behavioural profiles in electronic marketplaces
通过行为识别:学习电子市场中的行为概况
- 批准号:
391730-2010 - 财政年份:2010
- 资助金额:
$ 2.04万 - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
相似国自然基金
分泌蛋白IGFBP2在儿童Group3/Group4型髓母细胞瘤恶性进展中的作用与机制研究
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
大兴安岭火山湖Group I长链烯酮冷季节温标研究与过去2000年温度定量重建
- 批准号:42073070
- 批准年份:2020
- 资助金额:61 万元
- 项目类别:面上项目
近海沉积物中Marine Group I古菌新类群的发现、培养及其驱动碳氮循环的机制
- 批准号:92051115
- 批准年份:2020
- 资助金额:81.0 万元
- 项目类别:重大研究计划
MicroRNA靶向的漆酶基因及其所在Group 1 亚家族成员 调控水稻产量性状的功能机制
- 批准号:
- 批准年份:2019
- 资助金额:257 万元
- 项目类别:
超级增强子驱动的核心转录调控环路在Group_3亚型髓母细胞瘤的发病和治疗中的作用和机制
- 批准号:81972646
- 批准年份:2019
- 资助金额:55.0 万元
- 项目类别:面上项目
东北地区火山湖GroupⅠ类型的长链烯酮研究及其不饱和度温标的应用
- 批准号:41702187
- 批准年份:2017
- 资助金额:26.0 万元
- 项目类别:青年科学基金项目
中国源毕氏肠微孢子虫group 2基因型人兽共患特征的研究
- 批准号:31502055
- 批准年份:2015
- 资助金额:21.0 万元
- 项目类别:青年科学基金项目
人源Group IIE分泌型磷脂酶A2蛋白的结构生物学研究
- 批准号:31300670
- 批准年份:2013
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
连锁群选育法(Linkage Group Selection)在柔嫩艾美耳球虫表型相关基因研究中应用
- 批准号:30700601
- 批准年份:2007
- 资助金额:17.0 万元
- 项目类别:青年科学基金项目
原核生物基因内含子-group II intron 的研究
- 批准号:30770463
- 批准年份:2007
- 资助金额:30.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: RI: Medium: Informed, Fair, Efficient, and Incentive-Aware Group Decision Making
协作研究:RI:媒介:知情、公平、高效和具有激励意识的群体决策
- 批准号:
2313137 - 财政年份:2023
- 资助金额:
$ 2.04万 - 项目类别:
Standard Grant
Collaborative Research: RI: Medium: Informed, Fair, Efficient, and Incentive-Aware Group Decision Making
协作研究:RI:媒介:知情、公平、高效和具有激励意识的群体决策
- 批准号:
2313136 - 财政年份:2023
- 资助金额:
$ 2.04万 - 项目类别:
Standard Grant
The individual's role in collective behaviour: How personality affects group decision-making in fish
个体在集体行为中的作用:个性如何影响鱼类的群体决策
- 批准号:
547700-2020 - 财政年份:2022
- 资助金额:
$ 2.04万 - 项目类别:
Postgraduate Scholarships - Doctoral
Axiomatic Improvements to Novel Group Decision Making Processes
新颖的群体决策过程的公理改进
- 批准号:
547489-2020 - 财政年份:2022
- 资助金额:
$ 2.04万 - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
Collaborative Research: RI: Small: Modeling and Learning Ethical Principles for Embedding into Group Decision Support Systems
协作研究:RI:小型:建模和学习嵌入群体决策支持系统的道德原则
- 批准号:
2007994 - 财政年份:2021
- 资助金额:
$ 2.04万 - 项目类别:
Standard Grant
Collaborative Research: RI: Small: Modeling and Learning Ethical Principles for Embedding into Group Decision Support Systems
协作研究:RI:小型:建模和学习嵌入群体决策支持系统的道德原则
- 批准号:
2007955 - 财政年份:2021
- 资助金额:
$ 2.04万 - 项目类别:
Standard Grant
Solution of optimization problems for group decision making
群体决策优化问题的求解
- 批准号:
566661-2021 - 财政年份:2021
- 资助金额:
$ 2.04万 - 项目类别:
Alliance Grants
The individual's role in collective behaviour: How personality affects group decision-making in fish
个体在集体行为中的作用:个性如何影响鱼类的群体决策
- 批准号:
547700-2020 - 财政年份:2021
- 资助金额:
$ 2.04万 - 项目类别:
Postgraduate Scholarships - Doctoral
Intelligent Group Decision Systems and Preference Learning
智能群体决策系统和偏好学习
- 批准号:
RGPIN-2018-05903 - 财政年份:2021
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Axiomatic Improvements to Novel Group Decision Making Processes
新颖的群体决策过程的公理改进
- 批准号:
547489-2020 - 财政年份:2021
- 资助金额:
$ 2.04万 - 项目类别:
Postgraduate Scholarships - Doctoral