Artificial Intelligence Trust Modeling in Multiagent Systems to Streamline Social Networking

点击翻译按钮获取中文摘要

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).**