Description

Leader of the group Intelligent and Autonomous Systems: Eric Pauwels.

IAS:  Learning, planning and resource allocation for intelligent, strategic agents

Research Objectives

Combining expertise from both mathematics (e.g. stochastics, game theory, operation research) and computer science (artificial intelligence, machine learning, and computation), IAS researchers conduct research in:

  • Data-efficient, robust, transferable and explainable learning, planning and resource allocation in multi-agent systems.
      More information and research projects
  • Multi-Agent Systems and Human-AI collectives (HAIC): investigating strategic and emergent behavior in multi-agents systems or collectives comprising both humans and AI agents, involving research topics ranging from negotiation and opponent modeling, to auction bidding, mechanism design and collective decision making. 
    More information and research projects
  • Explainable and Responsible AI
    More information and research projects
  • Fundamental problems inspired by applications to energy systems, logistics, negotiations, and games as general models of strategic interactions.
    More information and research projects

Research: Motivation and Context

Increasingly, our social and technological world is organised around complex systems. These are dynamic networks of interacting nodes (or agents) that continuously exchange digital or physical resources, including data or information, energy, materials and products. The agents in these systems face real challenges, as they often only have access to partial and noisy information and need to operate in a constantly changing and uncertain environment. As a consequence, there is an unrelenting pressure to improve the network’s overall performance and resilience by making the individual nodes more intelligent and autonomous.

In our research group, we study generic and fundamental mechanisms that enable the emergence of various degrees of organization, intelligence and autonomy in such systems, and apply them to concrete problems of societal relevance.

Opportunities and Community Building 

 

Vacancies

No vacancies currently.

News

Members

Associated Members

Current projects with external funding

  • Framework for demand-supply matching and ancillary service provision through distributed energy resources (project D) ()
  • Lectoraat Urban Analytics (+ verlenging) ()
  • Advanced Planning & Scheduling (APS)
  • Heat and Power Systems at Industrial Sites and Harbours (HaPSISH)
  • Energy Intranets (NEAT)
  • Developing algorithms for testing and use on Acumex's platform (PPS ACUMEX)
  • Representing Users in a Negotiation (RUN): An Autonomous Negotiator Under Preference Uncertainty (RUN)
  • Using small data and big data: Neighborhood Energy & Data Management Integration System (S&B NEDMIS)

Related partners

  • Acumex
  • Alstom
  • Brainport Development
  • Eaton
  • Enexis
  • Locamation
  • Stedin
  • TenneT
  • Thales
  • Engie Services West Nederland B.V.
  • Hogeschool van Amsterdam
  • Nirvention B.V.
  • SURFsara B.V.
  • TNO
  • Technische Universiteit Eindhoven
  • Technische Universiteit Delft
  • Voergroep Zuid B.V.