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

Seminars For more information on our seminars, visit the seminar webpage.
Internships We invite talented Master's and PhD candidates to have a look at our internships.
Supporting the AI community We strongly believe that successful research is a community effort to which we want to contribute:
- Presentations and educational material
- Organisational and community-building activities

Vacancies

No vacancies currently.

News

Paper by Tim Baarslag and Michael Kaisers selected as visionary paper AAMAS 2017 Workshops

A paper by CWI researchers Tim Baarslag and Michael Kaisers has been selected as one of the most visionary papers of the AAMAS 2017 workshops, the largest and most influential conference in the area of agents and multi-agent systems.

Paper by Tim Baarslag and Michael Kaisers selected as visionary paper AAMAS 2017 Workshops - Read More…

CWI researchers selected as ACM Future of Computing Academy members

CWI researchers Tim Baarslag and Wouter Koolen have been selected as members of the of the ACM Future of Computing Academy (FCA).

CWI researchers selected as ACM Future of Computing Academy members - Read More…

Members

Associated Members

Current projects with external funding

Lectoraat Urban Analytics (+ verlenging) ()
Aligning citizens and systems (full-proposal) (ALIGN4energy)
Coordinating Multi-deal Bilateral Negotiations (COMBINE)
Energy Intranets (NEAT)
Resilience and Cyber Security of Integrated Cyber-Physical Energy Systems (RESCUE)
Using small data and big data: Neighborhood Energy & Data Management Integration System (S&B NEDMIS)
Testing and Evaluating Sophisticated information and communication Technologies for enaBling scalablE smart griD Deployment (TESTBED-2)

Related partners

Alpen-Adria-Universität Klagenfurt
INRIA
Hogeschool van Amsterdam
SURFsara B.V.
Technische Universiteit Eindhoven
Technische Universiteit Delft
University of Durham