Artificial Intelligence Trust Modeling in Multiagent Systems to Streamline Social Networking
多代理系统中的人工智能信任建模可简化社交网络
基本信息
- 批准号:RGPIN-2016-03615
- 负责人:
- 金额:$ 2.77万
- 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:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In this research, we aim to address the current topical but critical problem of information overload arising from the use of computers, especially in social networking environments. Our approach is to leverage artificial intelligence techniques: to develop novel paradigms for trust modeling, user modeling and multiagent cooperative coordination which will provide longstanding advances to theoretical research while at the same time forming the basis for significant breakthroughs in the management of our online existence. A companion aim is to embrace the current trend in artificial intelligence to leverage applied research towards the most valuable new insights in the development of theories and models. Towards this end, we will introduce several key application areas (healthcare, education and transportation) as motivators and as testbed areas for validation of our approach.**Central to the research will be novel methods for trust modeling in multiagent systems, including user-specific trust evaluation (specific to the trustor), algorithms for trustees to engender trust, reasoning about when to solicit trust values from peers (the value of coordinated waiting), and projecting trust modeling into a specification of agent decision making.**In all, we will not only advance artificial intelligence research but will also offer to Canada techniques of critical use to all organizations and individuals to enable more effective online communication and coordination between users. This in turn will translate into significant savings in time and in stress, towards an improvement of our overall state of wellbeing, to improve our overall economy. Relevant everyday contexts include massively open online courses, electronic marketplaces, online environments for social communication and peer-based networking to enable self-help. We are also interested in enabling enhanced access to online social networks for users with assistive needs (including the elderly).**
在这项研究中,我们的目标是解决当前热门但关键的问题,即使用计算机导致的信息过载,特别是在社交网络环境中。我们的方法是利用人工智能技术:开发用于信任建模、用户建模和多代理协作的新范式,这将为理论研究提供长期的进步,同时为我们在线存在的管理方面的重大突破奠定基础。一个相伴的目标是拥抱人工智能的当前趋势,以利用应用研究在理论和模型的发展中获得最有价值的新见解。为此,我们将介绍几个关键的应用领域(医疗保健、教育和交通)作为激励因素和验证我们的方法的试验台。**研究的中心将是多代理系统中信任建模的新方法,包括用户特定的信任评估(特定于委托人),受托人产生信任的算法,何时从同行那里请求信任值的推理(协调等待的价值),以及将信任建模投射到代理决策的规范中。**总的来说,我们不仅将推进人工智能研究,还将向加拿大提供对所有组织和个人至关重要的技术,以使用户之间能够更有效地进行在线沟通和协调。这反过来又将大大节省时间和压力,从而改善我们的整体福祉,改善我们的整体经济。相关的日常背景包括大规模开放的在线课程、电子市场、用于社交的在线环境和基于同伴的网络以实现自助。我们也有兴趣让有辅助需求的用户(包括老年人)能够更好地访问在线社交网络。**
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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Cohen, Robin其他文献
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems
- DOI:
10.1016/j.ins.2022.04.027 - 发表时间:
2022-04-19 - 期刊:
- 影响因子:8.1
- 作者:
Wahab, Omar Abdel;Rjoub, Gaith;Cohen, Robin - 通讯作者:
Cohen, Robin
QOLLTI-F: measuring family carer quality of life
- DOI:
10.1177/0269216306072764 - 发表时间:
2006-01-01 - 期刊:
- 影响因子:4.4
- 作者:
Cohen, Robin;Leis, Anne M.;Ashbury, Fredrick D. - 通讯作者:
Ashbury, Fredrick D.
Multiagent Resource Allocation for Dynamic Task Arrivals with Preemption
- DOI:
10.1145/2875441 - 发表时间:
2016-10-01 - 期刊:
- 影响因子:5
- 作者:
Doucette, John A.;Pinhey, Graham;Cohen, Robin - 通讯作者:
Cohen, Robin
Micro-Meso-Macro Practice Tensions in Using Patient-Reported Outcome and Experience Measures in Hospital Palliative Care
- DOI:
10.1177/1049732318761366 - 发表时间:
2019-03-01 - 期刊:
- 影响因子:3.2
- 作者:
Krawczyk, Marian;Sawatzky, Richard;Cohen, Robin - 通讯作者:
Cohen, Robin
Improving trust modeling through the limit of advisor network size and use of referrals
- DOI:
10.1016/j.elerap.2012.08.001 - 发表时间:
2013-04-01 - 期刊:
- 影响因子:6
- 作者:
Gorner, Joshua;Zhang, Jie;Cohen, Robin - 通讯作者:
Cohen, Robin
Cohen, Robin的其他文献
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{{ truncateString('Cohen, Robin', 18)}}的其他基金
Multiagent trust modeling for trusted AI and improved online social networks
用于可信人工智能和改进的在线社交网络的多代理信任建模
- 批准号:
RGPIN-2021-02389 - 财政年份:2022
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
Multiagent trust modeling for trusted AI and improved online social networks
用于可信人工智能和改进的在线社交网络的多代理信任建模
- 批准号:
RGPIN-2021-02389 - 财政年份:2021
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
Artificial Intelligence Trust Modeling in Multiagent Systems to Streamline Social Networking
多代理系统中的人工智能信任建模可简化社交网络
- 批准号:
RGPIN-2016-03615 - 财政年份:2020
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
Artificial Intelligence Trust Modeling in Multiagent Systems to Streamline Social Networking
多代理系统中的人工智能信任建模可简化社交网络
- 批准号:
RGPIN-2016-03615 - 财政年份:2019
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
Artificial Intelligence Trust Modeling in Multiagent Systems to Streamline Social Networking
多代理系统中的人工智能信任建模可简化社交网络
- 批准号:
RGPIN-2016-03615 - 财政年份:2017
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
Artificial Intelligence Trust Modeling in Multiagent Systems to Streamline Social Networking
多代理系统中的人工智能信任建模可简化社交网络
- 批准号:
RGPIN-2016-03615 - 财政年份:2016
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
Trust and social networking of multiagent peers
多智能体对等体的信任和社交网络
- 批准号:
880-2011 - 财政年份:2015
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
Trust and social networking of multiagent peers
多智能体对等体的信任和社交网络
- 批准号:
880-2011 - 财政年份:2014
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
Trust and social networking of multiagent peers
多智能体对等体的信任和社交网络
- 批准号:
880-2011 - 财政年份:2013
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
Trust and social networking of multiagent peers
多智能体对等体的信任和社交网络
- 批准号:
880-2011 - 财政年份:2012
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
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