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 Winner of the 2017 Cor Baayen Young Researcher Award

Tim Baarslag (CWI) won the 2017 ERCIM Cor Baayen Young Researcher Award. This European prize is awarded each year to a promising young researcher of outstanding quality in computer science and applied mathematics.

Tim Baarslag Winner of the 2017 Cor Baayen Young Researcher Award - Read More…

CWI participates in impact study North/Southline

The North/Southline is the largest operation in Amsterdam’s public transport in decades. That is why the municipality of Amsterdam will start an extensive impact study together with knowledge institutions, the transport region Amsterdam and GVB (public transport company Amsterdam). Centrum Wiskunde & Informatica (CWI) will act as one of the main research partners.

CWI participates in impact study North/Southline - Read More…

ERCIM News 110 focuses on Blockchain Engineering

ERCIM News No. 110 is now available on ERCIM News website. The focus of this issue is on Blockchain Engineering, with a contribution by CWI's Eric Pauwels.

ERCIM News 110 focuses on Blockchain Engineering - Read More…

Veni grants for CWI researchers Tim Baarslag and Stacey Jeffery

NWO has awarded Veni grants to Tim Baarslag and Stacey Jeffery. The funding allows these researchers, who have recently obtained their PhD, to conduct independent research and develop their ideas for a period of three years.

Veni grants for CWI researchers Tim Baarslag and Stacey Jeffery - 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)
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)