Selecting the minimal set of preferred responses to counter detected intrusions

Gunasekharan, Maheedhar; Basu, Samik; Santhanam, Ganesh Ram

doi:10.1145/3064814.3064824

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…The ability to express and reason about preferences over a set of alternatives is central to rational decision-making in a broad range of applications, including software design [40,26,35,36,18,1], public policy, e.g., city planning [23,37], healthcare [8], security [3,21], privacy [28], among others. In general, the preferences can be quantitative [24,19] or qualitative [7,15].…”

Section: Introductionmentioning

confidence: 99%

Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries

Basu,

Honavar,

Santhanam

et al. 2023

Frontiers in Artificial Intelligence and Applications

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Many decision-making scenarios, e.g., public policy, healthcare, business, and disaster response, require accommodating the preferences of multiple stakeholders. We offer the first formal treatment of reasoning with multi-stakeholder qualitative preferences in a setting where stakeholders express their preferences in a qualitative preference language, e.g., CP-net, CI-net, TCP-net, CP-Theory. We introduce a query language for expressing queries against such preferences over sets of outcomes that satisfy specified criteria, e.g., ψ1PAψ2 (read loosely as the set of outcomes satisfying ψ1 that are preferred over outcomes satisfying ψ2 by a set of stakeholders A). Motivated by practical application scenarios, we introduce and analyze several alternative semantics for such queries, and examine their interrelationships. We provide a provably correct algorithm for answering multi-stakeholder qualitative preference queries using model checking in alternation-free μ-calculus. We present experimental results that demonstrate the feasibility of our approach.

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