Chemical Systems for Wetware Artificial Life: Selected Perspectives in Synthetic Cell Research.
Pasquale StanoPublished in: International journal of molecular sciences (2023)
The recent and important advances in bottom-up synthetic biology (SB), in particular in the field of the so-called "synthetic cells" (SCs) (or "artificial cells", or "protocells"), lead us to consider the role of wetware technologies in the "Sciences of Artificial", where they constitute the third pillar, alongside the more well-known pillars hardware (robotics) and software (Artificial Intelligence, AI). In this article, it will be highlighted how wetware approaches can help to model life and cognition from a unique perspective, complementary to robotics and AI. It is suggested that, through SB, it is possible to explore novel forms of bio-inspired technologies and systems, in particular chemical AI. Furthermore, attention is paid to the concept of semantic information and its quantification, following the strategy recently introduced by Kolchinsky and Wolpert. Semantic information, in turn, is linked to the processes of generation of "meaning", interpreted here through the lens of autonomy and cognition in artificial systems, emphasizing its role in chemical ones.
Keyphrases
- artificial intelligence
- machine learning
- induced apoptosis
- big data
- deep learning
- cell cycle arrest
- mild cognitive impairment
- endoplasmic reticulum stress
- white matter
- single cell
- working memory
- cell death
- healthcare
- stem cells
- oxidative stress
- cell proliferation
- health information
- sensitive detection
- pi k akt
- mesenchymal stem cells
- social media
- advanced cancer