Ruben Verborgh’s data

Matches in Ruben’s data for { <https://ruben.verborgh.org/publications/desmet_hyperagents_2025/#publication> ?p ?o }

• publication author me.
• publication author jitse_de_smet.
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• publication creator jitse_de_smet.
• publication creator me.
• publication about privacy.
• publication about proof.
• publication author me.
• publication author jitse_de_smet.
• publication author me.
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• publication type PublicationVolume.
• publication type ScholarlyArticle.
• publication type Article.
• publication type Document.
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• publication P50 me.
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• publication maker jitse_de_smet.
• publication maker me.
• publication title "A Vision on Algebraic Flows for Declarative Resource Descriptions".
• publication isPartOf proceedings_of_the_workshop_on_hypermedia_multi_agent_systems.
• publication name "A Vision on Algebraic Flows for Declarative Resource Descriptions".
• publication label "A Vision on Algebraic Flows for Declarative Resource Descriptions".
• publication name "A Vision on Algebraic Flows for Declarative Resource Descriptions".
• publication topic privacy.
• publication topic proof.
• publication datePublished "2025".
• publication subject privacy.
• publication subject proof.
• publication authorList b0_b1949.
• publication topic privacy.
• publication topic proof.
• publication abstract "In the age of agentic systems, correct autonomous data management is increasingly critical. Agents need to discover what resources exist and how to interact with them, but existing interface description frameworks that could provide such support either leave too much open to interpretation or fail to model underlying resources, which are not directly exposed. To address this gap, we propose a declarative description that describes underlying resources and their transformations by modeling interfaces as algebraic flows that declaratively define how underlying resources are exposed, derived, and manipulated. We detail our vision by walking through an example use case that showcases the various problems agents have when interacting with data interfaces and incrementally present our solution of modeling how data flows within the system. Our approach shows that interface developers can express their systems using familiar query languages, while enabling autonomous agents to reason about the consequences of actions and determine required operations to manipulate resources safely and predictably. This makes deterministic interactions with complex, asymmetric information interfaces possible. Looking ahead, we aim to formalize this approach into a theoretically sound framework with a proof-of-concept implementation. Additionally, we identify promising avenues for integrating policy-aware semantics and privacy-preserving interface disclosure.".
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• publication number "95".
• publication number "4084".
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