Our mission is to understand and engineer collaboration between humans & agents. We develop theories, models and methods of interactive intelligence by combining methods from AI and the social sciences.
The Interactive Intelligence (II) section focusses on socially interactive, intelligent agents. We research the intelligence that underlies and co-evolves during the repeated interactions of human and technology “agents” who cooperate to achieve a joint goal. Our research program aims for synergy and social interaction between humans and technology, to empower humans in their social context. The new technological challenges we face arise from the need to integrate Artificial Intelligence, Cognitive Engineering, and behavioural sciences. In particular, the technological challenge is to develop socially aware agents that in interaction with humans co-adapt and co-learn over time. Social awareness implies context-awareness with the knowledge to interpret the physical situation in social terms and the knowledge to behave in a distinctive individual way that is personalized towards those the agent interacts with. In this manner, we endeavour to develop the interactive agent technology that empowers humans and groups of humans to deal with the societal and individual challenges such as the increasing need for sustained self-management for healthy ageing, safety and life-long education.
Behaviour modelling, Mental models/ToM, Responsible AI/EXAI, Intelligent agents, Multi-modal perception systems, Knowledge representation x ML, Socio-cognitive engineering, Humane/Hybrid AI, Long-term interaction, Situated awareness.
We are part of the Department of Intelligent Systems.
We are participating in:
25 januari 2021
179th Dies Natalis
In the run-up to the Dies Natalis on Friday 15 January 2021, TU Delft will treat you to a daily selection of knowledge and inspiration in resilience and technology.
03 december 2020
Best Paper Runner Up Award for HAI 2020
Marco Rozendaal, Evert van Beek, Pim Haselager, David Abbink and Catholijn Jonker recently received the Best Paper Runner Up Award for the HAI 2020 conference.
19 november 2020
Catholijn Jonker gives keynote speech at Prima 2020
The 23rd International Conference on Principles and Practice of Multi-Agent Systems is being held from November 18 to 20, 2020. Agent-based Computing addresses the challenges in managing distributed computing systems and networks through monitoring, communication, consensus-based decision-making and coordinated actuation.
18 november 2020
Willem-Paul Brinkman interviewed in the new podcast "De Profcast"
Willem-Paul Brinkman talks about computers and health in this new podcast.
10 november 2020
Catholijn Jonker interviewed at Inside RoboHouse
Insightful messages from within our community deliver an optimistic take on the future of work in robotics.
26 oktober 2020
Robot en mens leren van elkaar
In this month's issue of AG Connect, dr. Catharine Oertel and dr. Myrthe Tielman contributed to an article on how AI can align more closely with human behavior. In it, they discuss how both data-driven and knowledge-based methods can help AI become better interaction partners.
01 oktober 2020
Three papers from the Interactive Intelligence group to appear at the NeurIPS 2020 Conference
Frans Oliehoek, whose research focuses on interactive learning and decision making, is the coauthor of three accepted papers at the NeurIPS 2020 Conference.
30 september 2020
Algoritme helpt ontwerpteams effectiever samenwerken
Computerwetenschapper Catharine Oertel onderzoekt hoe een kunstmatig systeem, misschien een robot, een team kan versterken. 'Het moet horen wat er gezegd wordt, alleen onthouden wat belangrijk is, zien hoe mensen bewegen en waar ze naar kijken.
23 september 2020
AI moet geen pijn doen
In the NRC newspaper of September 18, 2020, professor Catholijn Jonker contributed to an article about AI in the series "Met machines meer mens" (dutch)
14 september 2020
Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning
Youri Coppens presents joint work on Machine Learning & Knowledge Representation at the TAILOR 2020 Workshop.