Understanding Effects of Norms and Policies on the Robustness, Liveness, and Resilience of Systems - April 2017
Public Audience
Purpose: To highlight project progress. Information is generally at a higher level which is accessible to the interested public. All information contained in the report (regions 1-3) is a Government Deliverable/CDRL.
PI(s): Emily Berglund, Jon Doyle, Munindar Singh
Researchers: Nirav Ajmeri, Shams Al Amin
HARD PROBLEM(S) ADDRESSED
- Policy-Governed Secure Collaboration - Norms provide a standard of correctness for collaborative behavior, with respect to which policies of the participants can be evaluated individually or in groups.
- Resilient Architectures - The study of robustness and resilience of systems modeled in terms of norms would provide a basis for understanding resilient social architectures.
PUBLICATIONS
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Nirav Ajmeri, Hui Guo, Pradeep K. Murukannaiah, and Munindar P. Singh. “Arnor: Modeling Social Intelligence via Norms to Engineer Privacy-Aware Personal Agents.” Proceedings of the 16th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS). São Paulo: IFAAMAS, May 2017, pages 1–9.
ACCOMPLISHMENT HIGHLIGHTS
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We extended our multiagent simulation framework and model for the adoption of security practices among developers in software projects that takes into account the incentives for developers and managers as well as sanctioning policies regarding compliance or noncompliance. Preliminary results indicate group sanctioning for security promotes better adoption of security practices, compared to individual sanctioning.
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We generalized our framework for social intelligence for privacy-aware personal agents that help users protect their own and respect each other's privacy through an application of norm-based representations and reasoning.