This book explores the evolution of computing beyond current AI paradigms, with a particular emphasis on the potential of knowledge to be used to develop more intelligent, adaptive, and potentially conscious systems. This book has three elements:First, moving beyond "e;Narrow AI"e; and data-centric paradigms were investigated.The book likely discusses the inherent limitations of current "e;narrow AI"e;, despite impressive performance in specific tasks, interpretability, reasoning capabilities, and true understanding.Second, the modelling and uses cases were explored. The book would explore advanced methods for representing knowledge and performing logical or probabilistic reasoning over that knowledge.Third, provide the applications and impact of post-AI. The book provides with details of smart knowledge computing which can lead to more informed, explainable, and robust decision-making in complex real-world scenarios.In essence, this presents itself as a forward-looking investigation into how intelligence might be constructed by combining the capacity of data processing with explicit knowledge representation and advanced reasoning.

This book explores the evolution of computing beyond current AI paradigms, with a particular emphasis on the potential of knowledge to be used to develop more intelligent, adaptive, and potentially conscious systems. This book has three elements:First, moving beyond "e;Narrow AI"e; and data-centric paradigms were investigated.The book likely discusses the inherent limitations of current "e;narrow AI"e;, despite impressive performance in specific tasks, interpretability, reasoning capabilities, and true understanding.Second, the modelling and uses cases were explored. The book would explore advanced methods for representing knowledge and performing logical or probabilistic reasoning over that knowledge.Third, provide the applications and impact of post-AI. The book provides with details of smart knowledge computing which can lead to more informed, explainable, and robust decision-making in complex real-world scenarios.In essence, this presents itself as a forward-looking investigation into how intelligence might be constructed by combining the capacity of data processing with explicit knowledge representation and advanced reasoning.

This book explores the evolution of computing beyond current AI paradigms, with a particular emphasis on the potential of knowledge to be used to develop more intelligent, adaptive, and potentially conscious systems. This book has three elements:First, moving beyond "e;Narrow AI"e; and data-centric paradigms were investigated.The book likely discusses the inherent limitations of current "e;narrow AI"e;, despite impressive performance in specific tasks, interpretability, reasoning capabilities, and true understanding.Second, the modelling and uses cases were explored. The book would explore advanced methods for representing knowledge and performing logical or probabilistic reasoning over that knowledge.Third, provide the applications and impact of post-AI. The book provides with details of smart knowledge computing which can lead to more informed, explainable, and robust decision-making in complex real-world scenarios.In essence, this presents itself as a forward-looking investigation into how intelligence might be constructed by combining the capacity of data processing with explicit knowledge representation and advanced reasoning.