Cognitive augmentation in processes

Moshe Chai Barukh; Shayan Zamanirad; Marcos Baez; Amin Beheshti; Boualem Benatallah; Fabio Casati; Lina Yao; Quan Z. Sheng; Francesco Schiliro

doi:10.1007/978-3-030-73203-5_10

Cognitive augmentation in processes

Moshe Chai Barukh^*, Shayan Zamanirad, Marcos Baez, Amin Beheshti, Boualem Benatallah, Fabio Casati, Lina Yao, Quan Z. Sheng, Francesco Schiliro

^*Corresponding author for this work

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

8 Citations (Scopus)

Abstract

We present a vision for the next generation of process technology based on cognitive augmentation. Starting from current process technology, we show how by augmenting layers of cognitive intelligence to combine advances in machine-automation, crowdsourcing and more importantly adaptation and reasoning, we can advance support for emerging requirements of highly changing environments. We believe the challenges lie in the synergy between human and machine, in understanding how to orchestrate and combine their contributions. This vision paper sets forth a roadmap for future research by introducing a framework for cognitive augmentation, identifying the relevant research and technologies, and discussing its application amidst real-world use cases.

Original language	English
Title of host publication	Next-gen digital services
Subtitle of host publication	a retrospective and roadmap for service computing of the future
Editors	Marco Aiello, Athman Bouguettaya, Damian Andrew Tamburri, Willem-Jan van den Heuvel
Place of Publication	Cham, Switzerland
Publisher	Springer, Springer Nature
Chapter	10
Pages	123-137
Number of pages	15
ISBN (Electronic)	9783030732035
ISBN (Print)	9783030732028
DOIs	https://doi.org/10.1007/978-3-030-73203-5_10
Publication status	Published - 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12521 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Bots
Cognitive computing
Processes

Access to Document

10.1007/978-3-030-73203-5_10

Cite this

Barukh, M. C., Zamanirad, S., Baez, M., Beheshti, A., Benatallah, B., Casati, F., Yao, L., Sheng, Q. Z., & Schiliro, F. (2021). Cognitive augmentation in processes. In M. Aiello, A. Bouguettaya, D. A. Tamburri, & W.-J. van den Heuvel (Eds.), Next-gen digital services: a retrospective and roadmap for service computing of the future (pp. 123-137). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12521 LNCS). Springer, Springer Nature. https://doi.org/10.1007/978-3-030-73203-5_10

Barukh, Moshe Chai ; Zamanirad, Shayan ; Baez, Marcos et al. / Cognitive augmentation in processes. Next-gen digital services: a retrospective and roadmap for service computing of the future. editor / Marco Aiello ; Athman Bouguettaya ; Damian Andrew Tamburri ; Willem-Jan van den Heuvel. Cham, Switzerland : Springer, Springer Nature, 2021. pp. 123-137 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "We present a vision for the next generation of process technology based on cognitive augmentation. Starting from current process technology, we show how by augmenting layers of cognitive intelligence to combine advances in machine-automation, crowdsourcing and more importantly adaptation and reasoning, we can advance support for emerging requirements of highly changing environments. We believe the challenges lie in the synergy between human and machine, in understanding how to orchestrate and combine their contributions. This vision paper sets forth a roadmap for future research by introducing a framework for cognitive augmentation, identifying the relevant research and technologies, and discussing its application amidst real-world use cases.",

keywords = "Bots, Cognitive computing, Processes",

author = "Barukh, {Moshe Chai} and Shayan Zamanirad and Marcos Baez and Amin Beheshti and Boualem Benatallah and Fabio Casati and Lina Yao and Sheng, {Quan Z.} and Francesco Schiliro",

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doi = "10.1007/978-3-030-73203-5_10",

language = "English",

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publisher = "Springer, Springer Nature",

pages = "123--137",

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booktitle = "Next-gen digital services",

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Barukh, MC, Zamanirad, S, Baez, M, Beheshti, A, Benatallah, B, Casati, F, Yao, L, Sheng, QZ & Schiliro, F 2021, Cognitive augmentation in processes. in M Aiello, A Bouguettaya, DA Tamburri & W-J van den Heuvel (eds), Next-gen digital services: a retrospective and roadmap for service computing of the future. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12521 LNCS, Springer, Springer Nature, Cham, Switzerland, pp. 123-137. https://doi.org/10.1007/978-3-030-73203-5_10

Cognitive augmentation in processes. / Barukh, Moshe Chai; Zamanirad, Shayan; Baez, Marcos et al.
Next-gen digital services: a retrospective and roadmap for service computing of the future. ed. / Marco Aiello; Athman Bouguettaya; Damian Andrew Tamburri; Willem-Jan van den Heuvel. Cham, Switzerland: Springer, Springer Nature, 2021. p. 123-137 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12521 LNCS).

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

TY - CHAP

T1 - Cognitive augmentation in processes

AU - Barukh, Moshe Chai

AU - Zamanirad, Shayan

AU - Baez, Marcos

AU - Beheshti, Amin

AU - Benatallah, Boualem

AU - Casati, Fabio

AU - Yao, Lina

AU - Sheng, Quan Z.

AU - Schiliro, Francesco

PY - 2021

Y1 - 2021

N2 - We present a vision for the next generation of process technology based on cognitive augmentation. Starting from current process technology, we show how by augmenting layers of cognitive intelligence to combine advances in machine-automation, crowdsourcing and more importantly adaptation and reasoning, we can advance support for emerging requirements of highly changing environments. We believe the challenges lie in the synergy between human and machine, in understanding how to orchestrate and combine their contributions. This vision paper sets forth a roadmap for future research by introducing a framework for cognitive augmentation, identifying the relevant research and technologies, and discussing its application amidst real-world use cases.

AB - We present a vision for the next generation of process technology based on cognitive augmentation. Starting from current process technology, we show how by augmenting layers of cognitive intelligence to combine advances in machine-automation, crowdsourcing and more importantly adaptation and reasoning, we can advance support for emerging requirements of highly changing environments. We believe the challenges lie in the synergy between human and machine, in understanding how to orchestrate and combine their contributions. This vision paper sets forth a roadmap for future research by introducing a framework for cognitive augmentation, identifying the relevant research and technologies, and discussing its application amidst real-world use cases.

KW - Bots

KW - Cognitive computing

KW - Processes

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U2 - 10.1007/978-3-030-73203-5_10

DO - 10.1007/978-3-030-73203-5_10

M3 - Chapter

AN - SCOPUS:85104135331

SN - 9783030732028

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 123

EP - 137

BT - Next-gen digital services

A2 - Aiello, Marco

A2 - Bouguettaya, Athman

A2 - Tamburri, Damian Andrew

A2 - van den Heuvel, Willem-Jan

PB - Springer, Springer Nature

CY - Cham, Switzerland

ER -

Barukh MC, Zamanirad S, Baez M, Beheshti A, Benatallah B, Casati F et al. Cognitive augmentation in processes. In Aiello M, Bouguettaya A, Tamburri DA, van den Heuvel WJ, editors, Next-gen digital services: a retrospective and roadmap for service computing of the future. Cham, Switzerland: Springer, Springer Nature. 2021. p. 123-137. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-73203-5_10

Cognitive augmentation in processes

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