[agents] Deadline extended (3rd March 2023): C-MAS2023 - The First International Workshop on Citizen-Centric Multiagent Systems @ AAMAS 2023

[Vahid YazdanPanah]

(Apologies for cross-posting)



*C-MAS2023: The First International Workshop on Citizen-Centric Multiagent
Systems *

(held during AAMAS 2023, London, 30th May 2023)



Webpage: https://sites.google.com/view/cmas23



*UPDATE*: The submission deadline has been extended to *3rd March 2023*
(see important dates below).



Large-scale AI systems promise to address important societal challenges,
such as decarbonising our energy system, transitioning to on-demand
mobility or responding effectively to disasters. However, citizen end users
are often seen as peripheral to these systems, assumed to be passively
providing data and consuming services. The goal of this workshop is to
explore alternative approaches that treat citizen end users as first-class
agents with diverse needs and preferences, thus enabling more trustworthy,
fairer and potentially more widely accepted sociotechnical solutions to
pressing societal challenges. The workshop will draw on the substantial
body of work within multi-agent systems on how to model, design and reason
about complex systems of interacting self-interested agents, which may
include citizen end users, service providers, governmental bodies and other
stakeholders. It will also build on emerging techniques from human-centred
AI to promote fairness and to enable explainability.



More specifically, some of the key open technical issues in enabling
citizen-centric multi-agent systems (C-MAS) include:

   - Preference Learning: How to learn the needs and preferences of
   citizens? How to do this with sparse observations and limited interactions?
   How to preserve user privacy? How to aggregate preferences?
   - Incentive Design: How to minimise strategic behaviour and scope for
   manipulation by all stakeholders? How to offer incentives for behaviour
   change in a transparent and socially acceptable manner?


   - Fairness: How to ensure the C-MAS leads to fair and equitable
   decisions? How to monitor and minimise bias? How to trade off social,
   economic and environmental objectives within a C-MAS?
   - Explainability and Feedback: How to explain decisions to citizens? How
   to involve all stakeholders in gathering feedback, co-designing and
   monitoring the operation of a C-MAS?



The workshop is closely related to topics discussed at AAMAS, but with a
focus on human-centred approaches. In particular, we encourage submissions
using a wide range of MAS techniques, including (but not limited to):

   - Agent-based modelling and simulation
   - Game theory and mechanism design, including game-theoretical analysis
   of C-MAS


   - Preference elicitation and negotiation, Preference aggregation and
   computational social choice
   - Formal methods and norms in C-MAS
   - Multiagent reinforcement learning (MARL) and interactive reinforcement
   learning
   - Human-in-the loop approaches, human-AI teaming
   - Novel deep learning approaches for single- and multi-agent systems


   - Multi-objective optimisation (both quantitative and qualitative) for
   C-MAS
   - Evaluation of agents in the context of C-MAS
   - Cooperative exploration and learning to cooperate and collaborate in
   C-MAS
   - Learning trust and reputation for C-MAS
   - Scaling learning techniques to large systems of C-MAS


   - Bio-inspired C-MAS
   - Explainable and responsible AI for C-MAS
   - Interdisciplinary approaches



We also encourage submissions that look at applications of C-MAS to complex
real-world problems. These might include domains such as the following (but
also many more):

   - Smart transportation in urban and rural areas


   - Uses of AI systems in smart energy
   - Disaster response
   - AI in the healthcare domain



This workshop will be relevant for researchers, both in industry and
academia, whose research affects and involves citizen end users.



*Submission and important dates *



*How to submit a paper  *

Participants are invited to submit a short paper (4-6 pages, plus one page
for references, Springer LNCS format) describing their work on one or more
of the topics relevant to the workshop. Your paper should include a title
as well as all authors and affiliations. It should articulate the
objectives of the paper and provide a brief, but thorough description of
the research related to the theme of the workshop. We encourage both mature
research and work in progress. Accepted papers will be invited to submit a
camera-ready version to be included in the open access pre-proceedings. All
submissions to the workshop will be reviewed by the organising committee
and the program committee, with at least two independent reviews per
paper.



Authors are requested to prepare their submissions by following the LNCS
Springer format
<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines>,
preferably using the LaTeX template provided, but an MS Word template is
also available.



All papers must be submitted through the workshop's EasyChair page
https://easychair.org/my/conference?conf=cmas23


*Important dates: *

   - 30 January 2023 *3 March 2023*: Deadline for paper submissions (23:59
   Anywhere on Earth)
   - 13 March 2023 *27 March 2023*: Notification of acceptance following
   the review process
   -  15 April 2023* 5 May 2023*: Deadline for submitting camera-ready
   papers for inclusion in the pre-proceedings
   - *30 May 2023*: C-MAS workshop (in-person only)
   - Following the workshop: Invitation for full papers

 *Proceedings and special issue *

All accepted short papers will be made available in the pre-proceedings.
Please note that at least one author must register for the workshop in
order for a paper to appear in the workshop’s pre-proceedings. After the
conference all presenters will be invited to submit a full paper for the
C-MAS 2023 proceedings to appear as a special issue in a related journal
(tbc).



Webpage: https://sites.google.com/view/cmas23



For more information, please contact cmas23 at soton.ac.uk.



Organisers:

   - Behrad Koohy, University of Southampton
   - Kate Larson, University of Waterloo
   - Marija Slavkovik, University of Bergen
   - Natalia Criado, Universitat Politècnica de València
   - Sebastian Stein, University of Southampton
   - Vahid Yazdanpanah, University of Southampton



——————————
Dr Vahid Yazdanpanah
University of Southampton, UK
W - https://www.ecs.soton.ac.uk/people/vy1y20
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