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

Danai Vachtsevanou; Philip Junker; Andrei Ciortea; Iori Mizutani; Simon Mayer

doi:10.1145/3366424.3383537

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

Danai Vachtsevanou, Philip Junker, Andrei Ciortea, Iori Mizutani, Simon Mayer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Citations (Scopus)

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.

Original language	English
Title of host publication	Companion Proceedings of the Web Conference 2020
Publisher	Association for Computing Machinery (ACM)
Pages	185-189
Number of pages	5
ISBN (Print)	9781450370240
DOIs	https://doi.org/10.1145/3366424.3383537
Publication status	Published - 20 Apr 2020
Externally published	Yes
Event	The Web Conference 2020 - Taipei, Taiwan, Province of China Duration: 20 Apr 2020 → 24 Apr 2020 https://archives.iw3c2.org/www2020/

Conference

Conference	The Web Conference 2020
Abbreviated title	WWW '20
Country/Territory	Taiwan, Province of China
City	Taipei
Period	20/04/20 → 24/04/20
Internet address	https://archives.iw3c2.org/www2020/

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10.1145/3366424.3383537Licence: Unspecified

Cite this

@inproceedings{188e51ef06b44620986f9067135079f0,

title = "Long-Lived Agents on the Web: Continuous Acquisition of Behaviors in Hypermedia Environments",

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.",

keywords = "Hypermedia Multi-agent Systems, Web of Things, Interoperability",

author = "Danai Vachtsevanou and Philip Junker and Andrei Ciortea and Iori Mizutani and Simon Mayer",

year = "2020",

month = apr,

day = "20",

doi = "10.1145/3366424.3383537",

language = "English",

isbn = "9781450370240",

pages = "185--189",

booktitle = "Companion Proceedings of the Web Conference 2020",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "The Web Conference 2020, WWW '20 ; Conference date: 20-04-2020 Through 24-04-2020",

url = "https://archives.iw3c2.org/www2020/",

}

Vachtsevanou, D, Junker, P, Ciortea, A, Mizutani, I & Mayer, S 2020, Long-Lived Agents on the Web: Continuous Acquisition of Behaviors in Hypermedia Environments. in Companion Proceedings of the Web Conference 2020. Association for Computing Machinery (ACM), pp. 185-189, The Web Conference 2020, Taipei, Taiwan, Province of China, 20/04/20. https://doi.org/10.1145/3366424.3383537

Long-Lived Agents on the Web: Continuous Acquisition of Behaviors in Hypermedia Environments. / Vachtsevanou, Danai; Junker, Philip; Ciortea, Andrei et al.
Companion Proceedings of the Web Conference 2020. Association for Computing Machinery (ACM), 2020. p. 185-189.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Long-Lived Agents on the Web

T2 - The Web Conference 2020

AU - Vachtsevanou, Danai

AU - Junker, Philip

AU - Ciortea, Andrei

AU - Mizutani, Iori

AU - Mayer, Simon

PY - 2020/4/20

Y1 - 2020/4/20

N2 - 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.

AB - 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.

KW - Hypermedia Multi-agent Systems

KW - Web of Things

KW - Interoperability

UR - https://www.scopus.com/pages/publications/85091700133

UR - https://dl.acm.org/doi/proceedings/10.1145/3366424

U2 - 10.1145/3366424.3383537

DO - 10.1145/3366424.3383537

M3 - Conference contribution

SN - 9781450370240

SP - 185

EP - 189

BT - Companion Proceedings of the Web Conference 2020

PB - Association for Computing Machinery (ACM)

Y2 - 20 April 2020 through 24 April 2020

ER -

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

Abstract

Conference

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