
MUHAI is a research project focused on introducing meaning and understanding into Artificial Intelligence through the development of computational models for narrative construction. It integrates information from sensory-motor embodiment, measurement data, language, semantic memory, mental simulation, and episodic memory. The project utilizes domains like common sense for cooking and social knowledge for understanding inequality as testbeds, advancing techniques such as deep learning networks and knowledge graphs. The outcomes aim to enhance cognitive home robotics, particularly in food production and resource management, and provide tools for social scientists to analyze societal phenomena like inequality. MUHAI is funded by the European Union's Horizon 2020 program.

MUHAI is a research project focused on introducing meaning and understanding into Artificial Intelligence through the development of computational models for narrative construction. It integrates information from sensory-motor embodiment, measurement data, language, semantic memory, mental simulation, and episodic memory. The project utilizes domains like common sense for cooking and social knowledge for understanding inequality as testbeds, advancing techniques such as deep learning networks and knowledge graphs. The outcomes aim to enhance cognitive home robotics, particularly in food production and resource management, and provide tools for social scientists to analyze societal phenomena like inequality. MUHAI is funded by the European Union's Horizon 2020 program.