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
No vacancies currently.
News
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).
CWI signs partnership for Meaningful Control of Autonomous Systems
Together with TNO and the University of Amsterdam, CWI initiates a new research collaboration to study the impact of autonomous systems in society and the adoption of AI-based systems. Today, the three members are signing a letter of intent, called Meaningful Control of Autonomous Systems (MCAS).
Tim Baarslag selected for ‘FD Young Talents 2019’
Tim Baarslag of CWI’s Intelligent and Autonomous Systems group has been selected by the Dutch newspaper Het Financieele Dagblad (FD) as one of the most promising Young Talents of 2019.
Best Early-Researcher Paper Award for Tim Baarslag
Tim Baarslag of CWI's Intelligent and Autonomous Systems group has been awarded with the "Best Early-Researcher Paper Award" at the Agreement Technologies (AT2018) conference in Bergen, Norway.
Members
Associated Members
Current projects with external funding
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Lectoraat Urban Analytics (+ verlenging) ()
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Aligning citizens and systems (full-proposal) (ALIGN4energy)
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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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Hogeschool van Amsterdam
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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