| Title: | All-Optical Reinforcement Learning In Solitonic X-Junctions |
| Author(s): | Alonzo M; Moscatelli D; Bastiani L; Belardini A; Soci C; Fazio E; |
| Address: | "Department of Fundamental and Applied Sciences for Engineering, Sapienza Universita di Roma, via Scarpa 16, 00161, Roma, Italy. Centre for Disruptive Photonic Technologies, Nanyang Technological University, 21 Nanyang Link, 637371, Singapore, Singapore. Department of Fundamental and Applied Sciences for Engineering, Sapienza Universita di Roma, via Scarpa 16, 00161, Roma, Italy. eugenio.fazio@uniroma1.it" |
| DOI: | 10.1038/s41598-018-24084-w |
| ISSN/ISBN: | 2045-2322 (Electronic) 2045-2322 (Linking) |
| Abstract: | "Ethology has shown that animal groups or colonies can perform complex calculation distributing simple decision-making processes to the group members. For example ant colonies can optimize the trajectories towards the food by performing both a reinforcement (or a cancellation) of the pheromone traces and a switch from one path to another with stronger pheromone. Such ant's processes can be implemented in a photonic hardware to reproduce stigmergic signal processing. We present innovative, completely integrated X-junctions realized using solitonic waveguides which can provide both ant's decision-making processes. The proposed X-junctions can switch from symmetric (50/50) to asymmetric behaviors (80/20) using optical feedbacks, vanishing unused output channels or reinforcing the used ones" |
| Keywords: | "Animals Ants/metabolism/*physiology Behavior, Animal/*physiology Decision Making Feedback, Physiological Pheromones/*metabolism Reinforcement, Psychology Spatial Learning;" |
| Notes: | "MedlineAlonzo, M Moscatelli, D Bastiani, L Belardini, A Soci, C Fazio, E eng Research Support, Non-U.S. Gov't England 2018/04/11 Sci Rep. 2018 Apr 9; 8(1):5716. doi: 10.1038/s41598-018-24084-w" |
