Christian Hugo Hoffmann Book order

Recent research into the intelligence of animals like corvids and octopi, alongside advancements in artificial intelligence, highlights the need for a comprehensive framework to compare different types of intelligence. This book proposes a universal theory centered on causal learning as the essence of intelligence. It aims to clarify complex concepts such as "strong AI" and "superintelligence," while addressing fundamental questions about the comparative intelligence of various entities, ultimately seeking to explain why certain intelligences surpass others.

Christian Hugo Hoffmann undermines the citadel of risk assessment and management, arguing that classical probability theory is not an adequate foundation for modeling systemic and extreme risk in complex financial systems. He proposes a new class of models which focus on the knowledge dimension by precisely describing market participants’ own positions and their propensity to react to outside changes. The author closes his thesis by a synthetical reflection on methods and elaborates on the meaning of decision-making competency in a risk management context in banking. By choosing this poly-dimensional approach, the purpose of his work is to explore shortcomings of risk management approaches of financial institutions and to point out how they might be overcome.