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

Tim Baarslag installed as Young Academy member

After being announced earlier as a new member of the Young Academy, Tim Baarslag has now been officially installed as an academy member. The Young Academy is a platform for young, internationally renowned scientists, hosted by the Royal Netherlands Academy of Arts and Sciences (KNAW). Together with nine other scientists, Tim was installed for a period of five years.

Tim Baarslag installed as Young Academy member - Read More…

Balancing uncertainties in future electricity markets

The steady embrace of sustainable energy brings along new challenges. For example, the supply and demand of energy will fluctuate much more than with energy from fossil sources. PhD student Georgios Methenitis designed several ways to find a balance in this, providing building blocks of future energy markets that guarantee efficient outcomes for all users.

Balancing uncertainties in future electricity markets - Read More…

Smart water use technology receives innovation grant

CWI spin-off Seita has been awarded an innovation grant to further develop its real-time water use analysis tools. The 200,000-euro grant allows Seita and its partners to enhance analysis of water use, using smart sensors connected to a cloud-based data platform. The grant was provided by the Dutch province of Noord-Holland.

Smart water use technology receives innovation grant - Read More…

Tim Baarslag joins The Young Academy

CWI researcher Tim Baarslag has been appointed as a new member of The Young Academy. Starting in 2020, he will join this platform for young scientists who are recognised internationally for their talent. The Young Academy is an independently operating platform within the Royal Netherlands Academy of Arts and Sciences (KNAW).

Tim Baarslag joins The Young Academy - Read More…

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)
Coordinating Multi-deal Bilateral Negotiations (COMBINE)
Energy Intranets (NEAT)
Developing algorithms for testing and use on Acumex's platform (PPS ACUMEX)
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)