Long-Lived Agents on the Web: Continuous Acquisition of Behaviors in Hypermedia Environments

Item Type Conference or Workshop Item (Paper)
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.

Authors Vachtsevanou, Danai; Junker, Philip; Ciortea, Andrei; Mizutani, Iori & Mayer, Simon
Language English
Subjects computer science
HSG Classification contribution to scientific community
Date 20 April 2020
Title of Book Proceedings of The World Wide Web Conference (WWW 2019)
Event Title The World Wide Web Conference
Event Location Taipeh, TW
Event Dates 20.04.2020-24.04.2020
Depositing User Prof. Dr. Simon Mayer
Date Deposited 02 Mar 2020 08:17
Last Modified 22 May 2020 12:41
URI: https://www.alexandria.unisg.ch/publications/259528

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Citation

Vachtsevanou, Danai; Junker, Philip; Ciortea, Andrei; Mizutani, Iori & Mayer, Simon: Long-Lived Agents on the Web: Continuous Acquisition of Behaviors in Hypermedia Environments. 2020. - The World Wide Web Conference. - Taipeh, TW.

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https://www.alexandria.unisg.ch/id/eprint/259528
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