Arnor: Modeling Social Intelligence via Norms to Engineer Privacy-Aware Personal Agents
Title | Arnor: Modeling Social Intelligence via Norms to Engineer Privacy-Aware Personal Agents |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Nirav Ajmeri, Hui Guo, Pradeep K. Murukannaiah, Munindar P. Singh |
Publisher | IFAAMAS |
Conference Location | Sao Paulo |
Keywords | Apr'17, NCSU, Policy-Governed Secure Collaboration, Understanding the Effects of Norms and Policies on the Robustness, Liveness, and Resilience of Systems |
Abstract | We seek to address the challenge of engineering socially intelligent personal agents that are privacy-aware. We propose Arnor, a method, including a metamodel based on social constructs. Arnor incorporates social norms and goes beyond existing agent-oriented software engineering (AOSE) methods by systematically capturing how a personal agent's actions influence the social experience it delivers. We conduct two empirical studies to evaluate Arnor. First, via a multiphase developer study, we show that Arnor simplifies application development. Second, via simulation experiments, we show that Arnor provides improved privacy-preserving social experience to end users than personal agents engineered using a traditional AOSE method. |
Citation Key | AAMAS-17:Arnor |
- Apr'17
- NCSU
- Policy-Governed Secure Collaboration
- Understanding the Effects of Norms and Policies on the Robustness, Liveness, and Resilience of Systems
- Policy-Governed Secure Collaboration
- NCSU
- Understanding the Effects of Norms and Policies on the Robustness, Liveness, and Resilience of Systems
- Apr'17