🔬

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

Variable Change Condition
Research +15 Always
Papers +10 Always
Vibey Doom +3 Always

💭 Reactions

🔬 Safety Researcher Reaction: ⚠️ Placeholder - Needs Real Quote
"Important contribution to the field"
📰 Media Reaction: ⚠️ Placeholder - Needs Real Quote
"Academic research release"
💡 Found a Real Quote? Suggest it here

🔗 Sources

🏷️ Event Metadata

Think this event's metadata could be improved? Suggest changes to category, rarity, tags, game impacts, or p(doom) effects.

🤝 Found an Issue?

This event data is sourced from the pdoom-data repository. If you notice errors or want to suggest improvements:

GitHub Issue (Preferred) 📧 Email (No GitHub)
← Back to All Events