Chiara Porcelluzzi | Università degli Studi di Bari (original) (raw)
Conference Presentations by Chiara Porcelluzzi
Understanding the nature of consciousness is a problem widely discussed both in Philosophy and Ne... more Understanding the nature of consciousness is a problem widely discussed both in Philosophy and Neuroscience. Several positions have been presented in both disciplines (e.g. materialism, functionalism, epiphenomenalism), each focusing on different aspects and proposing different definitions. While these positions greatly vary in their characterization of consciousness, they agree on some basic concepts such as self-awareness and self-recognition in relation to the perception of the environment. Moving from these basic concepts, we will try to describe to which extent the idea of consciousness can be applied to a classical approach to the immune system. This model, called the "self / non-self model", postulates that the immune system is able to recognize threat to the host as it is able to distinguish the cells of the organism (the self) from the dangerous substances/cells (the non-self). To complete our presentation, we will describe some parallelisms between the immune system and the brain such as multilayering and strong networking. Moreover, moving from biology to bio-inspired computation, we will present the achievement of the computational intelligence models based on these systems (artificial immune system and neural networks respectively). Notably, artificial immune system and neural networks often achieve similar results. Finally, taking into account the fact that neural networks are one of the most used tool to study artificial consciousness, we will illustrate why artificial immune systems should be considered as viable candidate for an in silico consciousness.
Thesis Chapters by Chiara Porcelluzzi
Essays by Chiara Porcelluzzi
Talks by Chiara Porcelluzzi
Papers by Chiara Porcelluzzi
The Significance of Philosophical Scepticism, 1984
Understanding the nature of consciousness is a problem widely discussed both in Philosophy and Ne... more Understanding the nature of consciousness is a problem widely discussed both in Philosophy and Neuroscience. Several positions have been presented in both disciplines (e.g. materialism, functionalism, epiphenomenalism), each focusing on different aspects and proposing different definitions. While these positions greatly vary in their characterization of consciousness, they agree on some basic concepts such as self-awareness and self-recognition in relation to the perception of the environment. Moving from these basic concepts, we will try to describe to which extent the idea of consciousness can be applied to a classical approach to the immune system. This model, called the "self / non-self model", postulates that the immune system is able to recognize threat to the host as it is able to distinguish the cells of the organism (the self) from the dangerous substances/cells (the non-self). To complete our presentation, we will describe some parallelisms between the immune system and the brain such as multilayering and strong networking. Moreover, moving from biology to bio-inspired computation, we will present the achievement of the computational intelligence models based on these systems (artificial immune system and neural networks respectively). Notably, artificial immune system and neural networks often achieve similar results. Finally, taking into account the fact that neural networks are one of the most used tool to study artificial consciousness, we will illustrate why artificial immune systems should be considered as viable candidate for an in silico consciousness.