Visting Seminar: The Human Nervous System: a source of inspiration for models, algorithms and chemicals to tackle complexity and chaos

Speaker: Dr Pier Luigi Gentili, Department of Chemistry, Biology and Biotechnology, University of Perugia, Italy
UCL Contact: Steve Marchant (Visitors from outside UCL please email in advance).
Date/Time: 04 Sep 14, 12:00 - 13:00
Venue: 1.02

Abstract

Science is urged to win the Complexity Challenges. One strategy to try to win at least few Complexity Challenges is the interdisciplinary research line of Natural Computing. It draws inspiration from nature to propose new algorithms, new chemicals to compute, and new models to interpret Natural Complexity. A wealthy source of inspiration is the human nervous system. In fact, it allows humans to take decisions in complex situations by handling both vague and accurate information, and it recognizes quite easily variable patterns. Therefore, it is worthwhile studying deeply the working principles of the human nervous system to try to reproduce them artificially. I am analyzing the human nervous system at the computational, algorithmic and implementation levels to develop Chemical Artificial Intelligence that will be a valuable tool to face the Complexity Challenges. In this seminar, I will present (1) a theory that combines fuzzy logic and the Bayesian probabilistic inference to model human perception; (2) two strategies to implement fuzzy logic at the molecular level; (3) the use of algorithms like the Adaptive-Neuro-Fuzzy-Inference-System (ANFIS) and the Feed-Forward-Neural-Network (FFNN) to predict chaotic time series.

Dr Pier Luigi Gentili