Recent advancements in the field of medical artificial intelligence (AI) have led to the
widespread adoption of foundational and large language models. This review paper …

Complex adaptive agents consistently achieve their goals by solving problems that seem to
require an understanding of causal information, information pertaining to the causal …

Causal reasoning is fundamental to human intelligence and crucial for effective decision-
making in real-world environments. Despite recent advancements in large vision-language …

Embodied AI represents systems where AI is integrated into physical entities, enabling them
to perceive and interact with their surroundings. Large Language Model (LLM), which …

Embodied artificial intelligence (AI) represents an artificial intelligence system that interacts
with the physical world through sensors and actuators, seamlessly integrating perception …

Building future wireless systems that support services like digital twins (DTs) is challenging
to achieve through advances to conventional technologies like meta-surfaces. While artificial …

Large Language Models (LLMs) have recently shown great promise in planning and
reasoning applications. These tasks demand robust systems, which arguably require a …

The intersection of robotics and artificial intelligence led to a profound paradigm shift in
Robot Learning. Robots have the capacity to replicate human actions and also dynamically …

Machines that can replicate human intelligence with type 2 reasoning capabilities should be
able to reason at multiple levels of spatio-temporal abstractions and scales using internal …

This thesis explores the transformative potential of integrating Serious Games (SG) and
causal Artificial Intelligence (AI) into social science research. This integration holds the key …