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PMAI 2022 : First Workshop on Process Management in the AI era

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Link: https://pmai-ijcai.github.io/
 
When Jul 23, 2022 - Jul 25, 2022
Where Vienna, Austria
Abstract Registration Due Apr 29, 2022
Submission Deadline May 9, 2022
Notification Due Jun 3, 2022
Final Version Due Aug 7, 2022
Categories    AI   business processes   process management
 

Call For Papers

[Apologies for cross and multiple postings]

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Call for Papers
First Workshop on Process Management in the AI era (PMAI)

Co-located with IJCAI/ECAI 2022
Workshop: 23rd-25th July 2022 (EXACT DAY TO BE CONFIRMED)

(Conference: 23rd-29th of July, 2022)
Vienna, Austria

Info: https://pmai-ijcai.github.io/index
Contact: pmaiijcai@protonmail.com

We apologize for any duplicates of this CFP that you may receive.

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IMPORTANT DATES

Abstract Submission (optional): 29th April 2022
Paper Submission Deadline: 9th May 2022
Paper Notification: 3rd June 2022
Camera Ready: 7th August 2022
Workshop: 23rd-25th July 2022 (EXACT DAY TO BE CONFIRMED)


SCOPE

Process Management (PM) is a growing multidisciplinary discipline combining insights from Operation Management, Computer Science, and Data Science (cf., Process Mining). The extraordinary development of AI techniques is paving the way towards a new generation of information systems able to “augment” process management, making them more autonomous, adaptive, intelligent, self-optimizing. These are AI-empowered, trustworthy, and process-aware information systems that continuously reason and act upon data within a set of constraints, with the aim of adapting and improving one or more processes along one or more indicators. To support these sophisticated forms of decision-making, they will need to extract useful insights from the execution logs of ongoing/past process executions, so as to strengthen, integrate, and iteratively revise their domain knowledge. This poses foundational, conceptual, and technical challenges related to the integration of symbolic and sub-symbolic AI techniques, and how to infuse them within PM. At the same time, delegating autonomy brings pressing requirements on the trustworthiness of such systems, and on their ability to interact with human experts and explain their own behavior.

The first workshop on Process Management in the AI era, aims at bringing together researchers from different research disciplines and a strong interest in promoting the synergy between AI and PM to address the above frontier challenges.This event is planned as a one-day workshop including two invited talks.

TOPICS

The main topics include but are not limited to:
- multi-perspective process models (including data, time, resources)
- declarative processes
- explainable and trustworthy AI for process management and process mining
- conversational systems, natural language processing, and human-machine interaction for process management
- KR for process management: reasoning about actions and processes, planning, and synthesis
- AI techniques for process discovery, conformance checking, prescriptive and predictive monitoring
- AI techniques for clustering and classification of process execution traces
- machine learning for event recognition on semi-structured and unstructured data
- association rule mining, specification mining, and decision mining from process execution traces
- declarative-based multi-perspective representation of process traces
- novel metrics for the measurement of process conformance
- uncertainty in AI for process management
- multiagent systems, strategic reasoning, game theory, and mechanism design for multi-party processes
- multi-objective optimization, decision-making, and continuous improvement
- value alignment in process management

SUBMISSIONS
Submissions must be written in English, prepared using the new CEUR-ART 1-column style, formatted in PDF and submitted through EasyChair (https://easychair.org/conferences/?conf=pmaiijcai2022)

PMAI 2022 invites submissions of research, industry and application contributions as well as software demonstrations.

There are two submission formats:

-Regular papers (11-12 pages including an appropriate number of references): must contain enough substance that they can be cited in other publications and may not have appeared before.

-Extended Abstracts (2-4 pages including an appropriate number of references): results and ideas of interest to the PMAI audience, including position papers, system and application descriptions and presentations of preliminary results, overview of papers accepted at another conference or which you submitted or plan to submit to another conference. In the latter case, extended abstracts must clearly state the venue where the paper has been accepted or submitted alongside its status.

All accepted papers are expected to be presented at the conference and at least one author is required to register to the conference.

Submissions should be single blind so the names of the authors will be visible to the reviewers and should be indicated on the submitted files. In justified cases, if you wish your submission to be handled anonymously (i.e., double-blind) please send an e-mail to pmaiijcai@protonmail.com explaining the reasons. You will receive instructions on how to proceed.


Camera Ready Preparation

The proceedings will be submitted to CEUR-WS.org for online publication. Due to a change of policy (http://ceur-ws.org) at CEUR-WS.org only Regular papers will be published under a CC BY 4.0 license that will be included in an open-access proceedings volume of CEUR Workshop Proceedings, indexed by both Scopus and DBLP. Extended Abstracts are no longer indexed by dblp.org and the case of an abstract of a pre-published paper may require a permission by the copyright holder.


*Authors are invited to check the Workshop website for further information and updates.


Kind regards, the organizers:
Antonella Guzzo, University of Calabria, Italy
Giuseppe de Giacomo, Sapienza University of Rome, Italy
Marco Montali, Free University of Bozen, Italy
Tathagata Chakraborti, IBM Research, Cambridge, USA
Fabiana Fournier, IBM Research, Haifa, Israel
Lior Limonad, IBM Research, Haifa, Israel

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