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  4. Towards Achieving Adaptive Behaviour of Agents Through Physics-Infused Descriptions of Cyber-physical Devices
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Towards Achieving Adaptive Behaviour of Agents Through Physics-Infused Descriptions of Cyber-physical Devices

Type
conference contribution
Date Issued
2025-10-25
Author(s)
Ramanathan, Ganesh  
;
Mayer, Simon  
Abstract
Cyber-physical devices (CPDs) are now widely employed in environments like smart buildings and factories. Many of these devices are involved in managing physical processes, such as the transformation of substances and energy. When it comes to achieving adaptive behavior through autonomous artificial agents that use such CPDs as artifacts in the pursuit of their goals, understanding (by the agent) both the technical interface of a CPD and its underlying physical processes becomes important. The W3C Web of Things Thing Description (TD) standard aims to address this challenge; however, hitherto, only the possibility of achieving technical interoperability has been explored, while the inclusion of the semantics of underlying physical processes remains to be explored. In this article, we describe our work in progress, which seeks to demonstrate how existing models that enable the description of physical processes can be used to embed such knowledge directly in the TDs. We further explore how this may enable artificial agents in a hypermedia environment to discover and utilize distributed CPDs without relying on a centralized, authoritative source of knowledge. We present intermediate results from our evaluation of an intelligent room automation system that demonstrates adaptive behavior through runtime discovery of CPD affordances.
Language
English (United States)
Keywords
autonomous systems
web of things
hypermedia multi-agent systems
knowledge graphs
Refereed
Yes
Book title
Proceedings of the Second International Workshop on Hypermedia Multi-Agent Systems
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/124453
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

File(s)
Thumbnail Image
Name

short4.pdf

Size

559.38 KB

Format

Adobe PDF

Checksum (MD5)

82ba70869874c6f85c342e6b286bca76

Support
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