Thomas Aquinas and Hervaeus Natalis share a correlational theory of intentionality. When I cognize a thing, I am in a real relation with the thing cognized and at the same time the thing is in a relation of reason with me. Hervaeus coins the term “intentionality” to designate precisely this relation of reason. First and second intentionality express two stages of this relation. First intentionality refers to the relation that a thing has to the mind, while second intentionality indicates the (...) relation that a thing qua cognized has to the mind. Thus, first intentionality involves direct cognition, while second intentionality reflexive cognition. This theory of intentionality has two purposes: first, to de-psychologize the cognitive process and second, to allow the application of Aristotle’s table of categories to the sphere of the mental. Through his detailed analysis of the relation of intentionality, Hervaeus clarifies some of Thomas’s obscurer points, but at the same time he has to solve a delicate problem of circularity entailed by the notion of intentionality as a relation of reason. (shrink)

-/- Human beings are conscious not only of the world around them but also of themselves: their activities, their bodies, and their mental lives. They are, that is, self-conscious (or, equivalently, self-aware). Self-consciousness can be understood as an awareness of oneself. But a self-conscious subject is not just aware of something that merely happens to be themselves, as one is if one sees an old photograph without realising that it is of oneself. Rather a self-conscious subject is aware of themselves (...) as themselves; it is manifest to them that they themselves are the object of awareness. Self-consciousness is a form of consciousness that is paradigmatically expressed in English by the words “I”, “me”, and “my”, terms that each of us uses to refer to ourselves as such. -/- A central topic throughout the history of philosophy—and increasingly so since the seventeenth century—the phenomena surrounding self-consciousness prompt a variety of fundamental philosophical and scientific questions, including its relation to consciousness; its semantic and epistemic features; its realisation in both conceptual and non-conceptual representation; and its connection to our conception of an objective world populated with others like ourselves. (shrink)

Computational complexity is a discipline of computer science and mathematics which classifies computational problems depending on their inherent difficulty, i.e. categorizes algorithms according to their performance, and relates these classes to each other. P problems are a class of computational problems that can be solved in polynomial time using a deterministic Turing machine while solutions to NP problems can be verified in polynomial time, but we still do not know whether they can be solved in polynomial time as well. A (...) solution for the so-called NP-complete problems will also be a solution for any other such problems. Its artificial-intelligence analogue is the class of AI-complete problems, for which a complete mathematical formalization still does not exist. In this chapter we will focus on analysing computational classes to better understand possible formalizations of AI-complete problems, and to see whether a universal algorithm, such as a Turing test, could exist for all AI-complete problems. In order to better observe how modern computer science tries to deal with computational complexity issues, we present several different deep-learning strategies involving optimization methods to see that the inability to exactly solve a problem from a higher order computational class does not mean there is not a satisfactory solution using state-of-the-art machine-learning techniques. Such methods are compared to philosophical issues and psychological research regarding human abilities of solving analogous NP-complete problems, to fortify the claim that we do not need to have an exact and correct way of solving AI-complete problems to nevertheless possibly achieve the notion of strong AI. (shrink)