Long-Lived Agents on the Web: Continuous Acquisition of Behaviors in Hypermedia Environments
Type
book section
Date Issued
2020-04-20
Author(s)
Research Team
Interactions- and Communication-based Systems
Auto-ID Labs
Auto-ID Labs
Abstract
We demonstrate how autonomous goal-directed agents can exploit hypermedia to acquire and execute new behaviors at run time. In addition to behaviors programmed into the agents, in our system agents can discover and reuse behaviors extracted from machine-readable resource manuals. Such manuals can be published by developers, synthesized by agents through automated planning, or even specified by human users at run time. Agents can then discover and use physical and virtual resources in flexible ways, which allows them to better cope with the rapid evolution of open and dynamic Web environments.
Language
English
HSG Classification
contribution to scientific community
Book title
Proceedings of The World Wide Web Conference (WWW 2019)
Event Title
The World Wide Web Conference
Event Location
Taipeh, TW
Event Date
20.04.2020-24.04.2020
Subject(s)
Division(s)
Eprints ID
259528
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Long_Lived_Agents_on_the_Web__Continuous_Acquisition_of_Behaviors_in_Hypermedia_Environments.pdf
Size
616.37 KB
Format
Adobe PDF
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