89 citations · 204 across the 16 of their papers we have counts for
17 papers
Initial-State Precision as a Predictive Resource: From Tori to Strange Nonchaotic Attractors and Chaos
Song-Ju Kim
How much initial-state precision is required to predict a nonlinear system to a prescribed accuracy over a finite horizon? We formulate this inverse prediction problem through a on…
Resource allocation method using tug-of-war-based synchronization
Song-Ju Kim, Hiroyuki Yasuda, Ryoma Kitagawa +1
We propose a simple channel-allocation method based on tug-of-war (TOW) dynamics, combined with the time scheduling based on nonlinear oscillator synchronization to efficiently use…
A Balance for Fairness: Fair Distribution Utilising Physics in Games of Characteristic Function Form
Song-Ju Kim, Taiki Takahashi, Kazuo Sano
In chaotic modern society, there is an increasing demand for the realization of true 'fairness'. In Greek mythology, Themis, the 'goddess of justice', has a sword in her right hand…
All-optical logic gates in Stub photonic lattices
Bastián Real, Camilo Cantillano, Dany López-González +6
We experimentally study a Stub photonic lattice and excite their localized linear states originated from an isolated Flat Band at the center of the linear spectrum. By exciting the…
Ultrafast photonic reinforcement learning based on laser chaos
Makoto Naruse, Yuta Terashima, Atsushi Uchida +1
Reinforcement learning involves decision making in dynamic and uncertain environments, and constitutes one important element of artificial intelligence (AI). In this paper, we expe…
Single photon in hierarchical architecture for physical reinforcement learning: Photon intelligence
Makoto Naruse, Martin Berthel, Aurélien Drezet +3
Understanding and using natural processes for intelligent functionalities, referred to as natural intelligence, has recently attracted interest from a variety of fields, including…