🔬

Risk Structures: Towards Engineering Risk-aware Autonomous Systems

📅 2019
technical research breakthrough
🔵 Rare

📖 Description

arXiv:1904.10386v1 [cs.SE] 23 Apr 2019RISKSTRUCTURES : TOWARDS ENGINEERING RISK-AWARE AUTONOMOUS SYSTEMS A P REPRINT Mario Gleirscher Computer Science Department, University of York, York, UK? April 24, 2019 ABSTRACT Inspired by widely-used techniques of causal modelling in r isk, failure, and accident analysis, this work discusses a com positional framework for risk modellin g. Risk models capture fragments of the space of risky events likely to occur when operating a mac hine in a given environment. More- over, one can build such models into machines such as autonom ous robots, to equip them with the ability of risk-aware perception, monitoring, decision ma king, and control. With the notion of a risk factor as the modelling primitive, the framework provi des several means to construct and shape risk models. Relational and algebraic properties are inves tigated and proofs support the validity and consistency of these properties over the corresponding mod els. Several examples th...

📊 Game Impacts

Not verified in game

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Variable Direction Condition
Research proposed: up Always
Papers proposed: up Always
Vibey Doom proposed: up Always

💭 Reactions

🔬 Safety Researcher Reaction: Not recorded
📰 Media Reaction: Not recorded
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🔗 Sources

🏷️ Event Metadata

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⭐ Rarity 🔵 Rare → Suggest different rarity
🏷️ Tags (0) → Suggest tag changes
📊 Game Impacts (3) 3 variable changes → Suggest impact changes
☢️ p(Doom) Impact Not recorded → Suggest p(doom) change
📝 General Metadata Year, description, reactions → Comprehensive review

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