MindsetTwin
- Partner
- Fraunhofer IAO
- Period
- Nov 2025 – Mar 2026
- Focus
- Cognitive Science & Digital Twin
Key outcomeBehavioral twin infrastructure built on the earlier SozioMimic contextualization work
Context
MindsetTwin extends the SozioMimic research into deeper behavioral digital twins: agents that aim to simulate not just what a person might say, but how they reason, decide, and feel. The question driving it is what a trustworthy digital twin needs to know its own limits.
Inputs
- Market capability datasets
- Cognitive science frameworks
- Advanced psychographic and longitudinal profiles
Approach
- Developed behavioral twin infrastructure that models cognition and decision-making, not just surface-level responses
- Applied market capability models to test simulated consumer reactions under changing conditions
- Investigated memory, update mechanisms, and representational consistency so a twin stays coherent over time
- Explored explainability and governance-aware configurations for how a twin's context is built and used
Outcomes
- Behavioral twin infrastructure built on the earlier SozioMimic contextualization work
- Research into emotional reasoning, memory, and consistency across repeated interactions, carried forward into the Twinlyses prototype of the same research line
- A trustworthy digital twin should make clear which evidence informed its answer, and which parts of a person it cannot yet represent