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

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…

Nanda Piersma appointed Professor by Special Appointment in Urban Analytics

The Amsterdam University of Applied Sciences (AUAS) has appointed Nanda Piersma as a Professor by Special Appointment in ‘Urban Analytics’. Her new research group strengthens the collaboration between both the AUAS Technology and Digital Media and Creative Industry faculties and CWI in Amsterdam, where Piersma will work part-time (50%). Urban Analytics focuses on big data analysis as a basis for new products and services that can contribute to solutions for the many challenges that Amsterdam is facing in the 21st century. Piersma will start her work at CWI on 1 September 2017.

Nanda Piersma appointed Professor by Special Appointment in Urban Analytics - Read More…

CWI develops energy sharing platform for housing cooperative Amsterdam

Researchers in the European Grid-Friends project will launch a pilot for sharing renewable energy between households in the Amsterdam building project Schoonschip. By coordinating energy supply and demand between the houses, the entire neighborhood aims to be energy neutral.

CWI develops energy sharing platform for housing cooperative Amsterdam - Read More…

Balancing supply and demand in future energy systems

Dynamic pricing can be used to balance future energy grids which depend on renewable energy. CWI researcher Nicolas Höning developed several market mechanisms and pricing strategies which are useful for planning and balancing electricity supply and demand.

Balancing supply and demand in future energy systems - 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)