Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report

Travis D. Breaux; Giancarlo Guizzardi; Eric Yu; Amal Ahmed Anda; Sotirios Liaskos; Elda Paja

Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report

Travis D. Breaux^*
, Giancarlo Guizzardi
, Eric Yu
, Amal Ahmed Anda
, Sotirios Liaskos
, Elda Paja

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › Academic › peer-review

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Abstract

The following discussion paper summarizes the results of a panel discussion conducted on October 28, 2024 at the 17th iStar International Workshop, co-located with the International Conference in Conceptual Modelling (ER) in Pittsburgh, PA, United States. The panelists included Travis D. Breaux from Carnegie Mellon University, US, Giancarlo Guizzardi from the University of Twente, The Netherlands, and Eric Yu from the University of Toronto, Canada. The panel was moderated by Elda Paja from the IT University of Copenhagen, Denmark.

Original language	English
Pages (from-to)	37-42
Number of pages	6
Journal	CEUR workshop proceedings
Volume	3936
Publication status	Published - 2024
Event	17th International iStar Workshop, iStar 2024 - Pittsburgh, United States Duration: 28 Oct 2024 → 28 Oct 2024

Keywords

goal-oriented modelling
iStar
learning-based AI
ML-based applications

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iStar24_panel_reportFinal published version, 244 KBLicence: CC BY

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@article{02c476136c20496ebcaaeb4d97b94501,

title = "Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report",

abstract = "The following discussion paper summarizes the results of a panel discussion conducted on October 28, 2024 at the 17th iStar International Workshop, co-located with the International Conference in Conceptual Modelling (ER) in Pittsburgh, PA, United States. The panelists included Travis D. Breaux from Carnegie Mellon University, US, Giancarlo Guizzardi from the University of Twente, The Netherlands, and Eric Yu from the University of Toronto, Canada. The panel was moderated by Elda Paja from the IT University of Copenhagen, Denmark.",

keywords = "goal-oriented modelling, iStar, learning-based AI, ML-based applications",

author = "Breaux, \{Travis D.\} and Giancarlo Guizzardi and Eric Yu and Anda, \{Amal Ahmed\} and Sotirios Liaskos and Elda Paja",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright for this paper by its authors.; 17th International iStar Workshop, iStar 2024 ; Conference date: 28-10-2024 Through 28-10-2024",

year = "2024",

language = "English",

volume = "3936",

pages = "37--42",

journal = "CEUR workshop proceedings",

issn = "1613-0073",

publisher = "CEUR",

}

TY - JOUR

T1 - Opportunities and Challenges for GORE in the era of Learning-based AI

T2 - 17th International iStar Workshop, iStar 2024

AU - Breaux, Travis D.

AU - Guizzardi, Giancarlo

AU - Yu, Eric

AU - Anda, Amal Ahmed

AU - Liaskos, Sotirios

AU - Paja, Elda

PY - 2024

Y1 - 2024

N2 - The following discussion paper summarizes the results of a panel discussion conducted on October 28, 2024 at the 17th iStar International Workshop, co-located with the International Conference in Conceptual Modelling (ER) in Pittsburgh, PA, United States. The panelists included Travis D. Breaux from Carnegie Mellon University, US, Giancarlo Guizzardi from the University of Twente, The Netherlands, and Eric Yu from the University of Toronto, Canada. The panel was moderated by Elda Paja from the IT University of Copenhagen, Denmark.

AB - The following discussion paper summarizes the results of a panel discussion conducted on October 28, 2024 at the 17th iStar International Workshop, co-located with the International Conference in Conceptual Modelling (ER) in Pittsburgh, PA, United States. The panelists included Travis D. Breaux from Carnegie Mellon University, US, Giancarlo Guizzardi from the University of Twente, The Netherlands, and Eric Yu from the University of Toronto, Canada. The panel was moderated by Elda Paja from the IT University of Copenhagen, Denmark.

KW - goal-oriented modelling

KW - iStar

KW - learning-based AI

KW - ML-based applications

UR - https://www.scopus.com/pages/publications/105000821181

M3 - Conference article

AN - SCOPUS:105000821181

SN - 1613-0073

VL - 3936

SP - 37

EP - 42

JO - CEUR workshop proceedings

JF - CEUR workshop proceedings

Y2 - 28 October 2024 through 28 October 2024

ER -

Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report

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Keywords

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