This paper in the series explores one of the first principles of metaphysics, the principle of identity in its logical form, namely, the principle of non-contradiction, and the relationship between its metaphysical and logical dimensions. It is invariably the task of revelation to provide definable and recognizable references that can be brought into human understanding. Logic is given the role of providing in us an eternal order reflective of the order of creation, a role that bestows it therefore with a certain sacrality. the Kantian conceptualist contention, now often encountered, establishes the basis for the contemporary de-ontologization of logic, since it creates a split between second intentions and first intentions, ensuring that reality has no input into the workings of the mind. Secondary intelligibles, however, are based on first intelligibles - things that exist - and thus they are ontologically dependent and reflective of that order. The logical thus can never contradict the metaphysical, and the metaphysical can never, in turn, be illogical. This seamlessness between the two orders is critical to the safeguarding of a sound intellectual discourse enabling the human soul to understand its existential condition, a condition that remains the same regardless of time and place

This essay frames 'ethics' as a science of the soul. By focusing on the role of an integral metaphysics within the ambit of the classification of sciences, it seeks to both determine the parameters of ethics and also underline the relationship between modes of being and modes of action.

Across early modern Europe, the growing scientific practice of dissection prompted new and insightful ideas about the human body. This collection of essays explores the impact of anatomical knowledge on wider issues of learning and culture.

A new, definitive translation of Heidegger's most important work.

Ontology is the philosophical discipline which aims to understand how things in the world are divided into categories and how these categories are related together. This is exactly what information scientists aim for in creating structured, automated representations, called ‘ontologies,’ for managing information in fields such as science, government, industry, and healthcare. Currently, these systems are designed in a variety of different ways, so they cannot share data with one another. They are often idiosyncratically structured, accessible only to those who created them, and unable to serve as inputs for automated reasoning. This volume shows, in a non-technical way and using examples from medicine and biology, how the rigorous application of theories and insights from philosophical ontology can improve the ontologies upon which information management depends.