From Intelligent Agents to Trustworthy Human-Centred Multiagent Systems

Mohammad Divband Soorati, Enrico Gerding, Enrico Marchioni, Pavel Naumov, Timothy Norman, Sarvapali Ramchurn, Baharak Rastegari, Adam Sobey, Sebastian Stein, Danesh Tarapore, Vahid Yazdanpanah, Jie Zhang

Research output: Contribution to journalArticlepeer-review

2 Citations (SciVal)

Abstract

The Agents, Interaction and Complexity research group at the University of Southampton has a long track record of research in multiagent systems (MAS). We have made substantial scientific contributions across learning in MAS, game-theoretic techniques for coordinating agent systems, and formal methods for representation and reasoning. We highlight key results achieved by the group and elaborate on recent work and open research challenges in developing trustworthy autonomous systems and deploying human-centred AI systems that aim to support societal good.
Original languageEnglish
Pages (from-to)443-457
Number of pages15
JournalAI Communications
Volume35
Issue number4
DOIs
Publication statusPublished - 6 Sept 2022

Bibliographical note

Funding Information:
We have been designing trustworthy and trusted multiagent systems for a number of application areas. Our research has been supported by multiple governmental and industrial organisations including BAE Systems, Thales, Dstl, Northrup Grumman, Secure Meters, QinetiQ and Boeing.

Funding Information:
We acknowledge contributions of past members of the AIC group and, in particular, Professor Nick Jennings for leading AIC to become a world-leading research group in multiagent systems research. This work is supported by the UK Engineering and Physical Sciences Research Council (EPSRC) through the Trustworthy Autonomous Systems Hub (EP/V00784X/1), a Turing AI Acceleration Fellowship on Citizen-Centric AI Systems (EP/V022067/1), the platform grant entitled “AutoTrust: Designing a Human-Centred Trusted, Secure, Intelligent and Usable Internet of Vehicles” (EP/R029563/1), and by the UK Research and Innovation (UKRI) Centre for Doctoral Training in Machine Intelligence for Nanoelectronic Devices and Systems (EP/S024298/1). For the purpose of open access, the authors have applied a creative commons attribution (CC BY) licence to any accepted manuscript version arising.

Publisher Copyright:
© 2022 - IOS Press. All rights reserved.

Keywords

  • Multiagent Systems
  • Artificial Intelligence
  • Distributed Artificial Intelligence
  • Intelligent Agents
  • Trustworthy Autonomous Systems

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