Essay Abstract
Physical theories are expected to explain the phenomena around us. Algorithmically, this means that a computer program simulating the dynamics of a certain physical system must be able to predict experimental results. Fundamental theories, in addition, are also expected to help us understand the ultimate nature of reality. I here propose that a theory is fundamental if it is conceptual and general. A conceptual theory is one that can be instantiated by a short computer program, whereas a general one is applicable to a large variety of situations. This algorithmic view of the construction of physical theories may be paralleled with the development of formal systems in mathematics. The parallelism between the two disciplines may even be stretched as far as to question the realism of the most basic ontological entities in the phenomena accessible to us.
Author Bio
Ines Samengo has a PhD in Physics, after which she switched to computational neuroscience, with a HFSP postoc with Prof. Alessandro Treves (Trieste), and then an Alexander von Humboldt fellowship with Prof. Andreas Herz (Berlin). She presently works in Bariloche, Argentina, as a researcher of CONICET, applying information-theoretical tools and dynamical-systems theory to the analysis of neural activity in behaving animals, aiming at disclosing the relevant features in the encoding and transmission of sensory information. She is also a professor in Instituto Balseiro, in charge of "Probability and Stochastic Processes" and "Information Theory" in Engineering in Telecommunications.