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
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:
Vacancies
PhD in Automated Negotiation and Multi-agent Systems
Centrum Wiskunde & Informatica (CWI) has a vacancy in the “Intelligent and Autonomous Systems” research group for a talented PhD in Automated Negotiation and Multi-agent Systems
News

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.

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.
Members
Associated Members
Current projects with external funding
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Lectoraat Urban Analytics (+ verlenging) ()
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Advanced Planning & Scheduling (APS)
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Coordinating Multi-deal Bilateral Negotiations (COMBINE)
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Energy Intranets (NEAT)
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Resilience and Cyber Security of Integrated Cyber-Physical Energy Systems (RESCUE)
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Using small data and big data: Neighborhood Energy & Data Management Integration System (S&B NEDMIS)
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Testing and Evaluating Sophisticated information and communication Technologies for enaBling scalablE smart griD Deployment (TESTBED-2)
Related partners
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Alpen-Adria-Universität Klagenfurt
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INRIA
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Engie Services West Nederland B.V.
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Hogeschool van Amsterdam
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Nirvention B.V.
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SURFsara B.V.
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Technische Universiteit Eindhoven
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Technische Universiteit Delft
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University of Durham
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Voergroep Zuid B.V.