Custard : Computing norm states over information stores

Chopra, Amit K. and Singh, Munindar P. (2016) Custard : Computing norm states over information stores. In: AAMAS '16 Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems :. IFAAMAS, Richland, SC, pp. 1096-1105. ISBN 9781450342391

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Norms provide a way to model the social architecture of a sociotechnical system (STS) and are thus crucial for understanding how such a system supports secure collaboration between principals, that is, autonomous parties such as humans and organizations. Accordingly, an important challenge is to compute the state of a norm instance at runtime in a sociotechnical system. Custard addresses this challenge by providing a relational syntax for schemas of important norm types along with their canonical lifecycles and providing a mapping from each schema to queries that compute instances of the schema in different lifecycle stages. In essence, Custard supports a norm-based abstraction layer over underlying information stores such as databases and event logs. Specifically, it supports deadlines; complex events, including those based on aggregation; and norms that reference other norms. We prove important correctness properties for Custard, including stability (once an event has occurred, it has occurred forever) and safety (a query returns a finite set of tuples). Our compiler generates SQL queries from Custard specifications. Writing out such SQL queries by hand is tedious and error-prone even for simple norms, thus demonstrating Custard's practical benefits.

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29 Jan 2016 09:12
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16 Jul 2024 03:45