Courses

This course examines Machine Learning (ML) and Artificial Intelligence (AI) within the context of natural and cultural learning processes. Beginning with information processing in primitive organisms, it traces the evolution of learning through neural systems, human societies, and modern computers. As foundational material, the course covers classic theories of learning and knowledge acquisition from cognitive […]

This interdisciplinary course examines the notion of “truth” in the era of Artificial Intelligence (AI). It delves into the philosophical discourse on truth (e.g., correspondence, coherence, consensus, and pragmatism theories) and examines the scientific principles underlying logical reasoning. Students are challenged to reassess their assumptions about truth, as they analyse AI’s transformative power to learn