Visible to the public Biblio

Filters: Keyword is Understanding the Effects of Norms and Policies on the Robustness, Liveness, and Resilience of Systems  [Clear All Filters]
2016-06-20
Mehdi Mashayekhi, Hongying Du, George F. List, Munindar P. Singh.  2016.  Silk: A Simulation Study of Regulating Open Normative Multiagent Systems. Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI). :1–7.

In a multiagent system, a (social) norm describes what the agents may expect from each other.  Norms promote autonomy (an agent need not comply with a norm) and heterogeneity (a norm describes interactions at a high level independent of implementation details). Researchers have studied norm emergence through social learning where the agents interact repeatedly in a graph structure.

In contrast, we consider norm emergence in an open system, where membership can change, and where no predetermined graph structure exists.  We propose Silk, a mechanism wherein a generator monitors interactions among member agents and recommends norms to help resolve conflicts.  Each member decides on whether to accept or reject a recommended norm.  Upon exiting the system, a member passes its experience along to incoming members of the same type.  Thus, members develop norms in a hybrid manner to resolve conflicts.

We evaluate Silk via simulation in the traffic domain.  Our results show that social norms promoting conflict resolution emerge in both moderate and selfish societies via our hybrid mechanism.

2016-04-11
Carver, J., Burcham, M., Kocak, S., Bener, A., Felderer, M., Gander, M., King, J., Markkula, J., Oivo, M., Sauerwein, C. et al..  2016.  Establishing a Baseline for Measuring Advancement in the Science of Security - an Analysis of the 2015 IEEE Security & Privacy Proceedings. 2016 Symposium and Bootcamp on the Science of Security (HotSoS).

To help establish a more scientific basis for security science, which will enable the development of fundamental theories and move the field from being primarily reactive to primarily proactive, it is important for research results to be reported in a scientifically rigorous manner. Such reporting will allow for the standard pillars of science, namely replication, meta-analysis, and theory building. In this paper we aim to establish a baseline of the state of scientific work in security through the analysis of indicators of scientific research as reported in the papers from the 2015 IEEE Symposium on Security and Privacy. To conduct this analysis, we developed a series of rubrics to determine the completeness of the papers relative to the type of evaluation used (e.g. case study, experiment, proof). Our findings showed that while papers are generally easy to read, they often do not explicitly document some key information like the research objectives, the process for choosing the cases to include in the studies, and the threats to validity. We hope that this initial analysis will serve as a baseline against which we can measure the advancement of the science of security.