EasyChair Smart CFPDocs/Log in
CFP
CMAS'23: Citizen-Centric Multiagent Systems 2023
London ExCeL conference centre
London, UK, May 29-June 2, 2023
Conference websitehttps://sites.google.com/view/cmas23
Submission linkhttps://easychair.org/conferences/?conf=cmas23
Abstract registration deadlineMarch 3, 2023
Submission deadlineMarch 3, 2023
Topics: artificial intelligence multi agent systems computer science citizen centric

CMAS2023: The First International Workshop on Citizen-Centric Multiagent Systems 

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 (CMAS) 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 CMAS leads to fair and equitable decisions? How to monitor and minimise bias? How to trade off social, economic and environmental objectives within a CMAS?  

  • 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 CMAS?  

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 CMAS  

  • Preference elicitation and negotiation, Preference aggregation and computational social choice  

  • Formal methods and norms in CMAS  

  • Multi-agent 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 CMAS  

  • Evaluation of agents in the context of CMAS  

  • Cooperative exploration and learning to cooperate and collaborate in CMAS   

  • Learning trust and reputation for CMAS  

  • Scaling learning techniques to large systems of CMAS  

  • Bio-inspired CMAS  

  • Explainable and responsible AI for CMAS  

  • Interdisciplinary approaches  

We also encourage submissions that look at applications of CMAS 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 Guidelines

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 and the expected gain by those attending the presentation. 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, preferably using the LaTeX template provided but an MS Word template is also available.  

 

Committees

Program Committee

Organizing committee

  • Behrad Koohy
  • Sebastian Stein
  • Vahid Yazdanpanah
  • Kate Larson
  • Marija Slavkovik
  • Natalia Criado

Invited Speakers

  • Professor Munindar Singh from NCSU is a Fellow of the IEEE, ACM, AAAI and AAAS, as well as a recipient of the ACM SIGAI Autonomous Agents Research Award. He has made significant contributions to norms, commitments and interactions in multi-agent systems. 

  • Dr Paula Palade from Jaguar Land Rover is an expert on the ethics of connected and automated vehicles (CAVs). She has written a report on CAV ethics for the EU commission and won several awards (TechWomen100 Award and Autocar Top 100 Women in Automotive). 

Venue

The conference will be held in the ExCel Centre, London.

Contact

All questions about submissions should be emailed to the organising committee (cmas23@soton.ac.uk) 

Copyright © 2002 – 2024 EasyChair