Artificial Intelligence Trust Modeling in Multiagent Systems to Streamline Social Networking

在这项研究中，我们的目标是解决当前的主题，但关键的问题，信息过载所产生的使用计算机，特别是在社交网络环境。我们的方法是利用人工智能技术：开发新的范例信任建模，用户建模和多代理合作协调，这将提供长期的理论研究的进展，而在同一时间形成的基础上，我们的在线存在的管理取得重大突破。另一个目标是拥抱人工智能的当前趋势，利用应用研究来获得理论和模型发展中最有价值的新见解。为此，我们将介绍几个关键应用领域（医疗保健、教育和交通），作为激励因素和验证我们方法的试验平台。该研究的核心将是多智能体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，关于何时从对等体请求信任值（协调等待的值）的推理，以及将信任建模投射到智能体决策的规范中。总而言之，我们不仅将推进人工智能研究，还将向加拿大提供所有组织和个人的关键技术，以实现用户之间更有效的在线沟通和协调。这反过来将转化为时间和压力的显著节省，从而改善我们的整体福祉，改善我们的整体经济。相关的日常环境包括大规模开放的在线课程、电子市场、在线社会交流环境和能够自助的同龄人网络。我们也有兴趣为有辅助需求的用户（包括老年人）提供更多的在线社交网络。**

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).**