The Social AI group studies the design, implementation, and evaluation of intelligent computational systems that analyze, simulate and influence human behaviour. Key components of such systems are human-like agent models that allow systems to behave in a human-like way and to adapt their behaviour to human needs.

New: Master Thesis projects within our group are now available at this link.

Human-like agent models

To develop intelligent computational systems that incorporate human behaviour, models of human processes are an important building block. In our research, we have developed models for both individual processes and multi-agent (social) processes. Moreover, mutual (abstraction) relationships between different models have been investigated.

Human-aware systems

Intelligent systems that take human processes into account should be able to maintain a form of awareness of human processes and states over time: human-aware systems. To obtain such human-awareness, monitoring based on sensoring can be applied, as usually advocated, for example, in Ambient Intelligence.

Application contexts

The types of human-like and human-aware agent models investigated in the Social AI research area aim at a number of application contexts for which obtaining a successful application is important. The following application contexts have been addressed.