Yuzuru Sato

Adaptive Dynamics for Interacting Markovian Processes (2006)

Sato, Yuzuru, Ay, Nihat

Dynamics of information flow in adaptively interacting stochastic processes is studied. We give an extended form of game dynamics for Markovian processes and study its behavior to observe information...

Adaptive Dynamics for Interacting Markovian Processes (2006)

Sato, Yuzuru, Ay, Nihat

Dynamics of information flow in adaptively interacting stochastic processes is studied. We give an extended form of game dynamics for Markovian processes and study its behavior to observe information...

Reference data for the density and viscosity of liquid aluminum and liquid iron (2006)

Assael, Marc J., Kakosimos, Konstantinos, Banish, R. Michael, Brillo, Jürgen, Egry, Ivan, Brooks, Robert, ...

The available experimental data for the density and viscosity of liquid aluminum and iron have been critically examined with the intention of establishing a density and a viscosity standard. All...

Adaptive Dynamics for Interacting Markovian Processes (2006)

Sato, Yuzuru, Ay, Nihat

Dynamics of information flow in adaptively interacting stochastic processes is studied. We give an extended form of game dynamics for Markovian processes and study its behavior to observe information...

Asymptotically scale-invariant occupancy of phase space makes the entropy Sq extensive (2005)

Tsallis, Constantino, Gell-Mann, Murray, Sato, Yuzuru

Phase space can be constructed for $N$ equal and distinguishable subsystems that could be (probabilistically) either {\it weakly} (or {\it "locally"}) correlated (e.g., independent, i.e.,...

On the extensivity of the entropy $S_q$ for $N \le 3$ specially correlated binary subsystems (2004)

Sato, Yuzuru, Tsallis, Constantino

Many natural and artificial systems whose range of interaction is long enough are known to exhibit (quasi)stationary states that defy the standard, Boltzmann-Gibbs statistical mechanical...

Stability and Diversity in Collective Adaptation (2004)

Sato, Yuzuru, Akiyama, Eizo, Crutchfield, James P.

We derive a class of macroscopic differential equations that describe collective adaptation, starting from a discrete-time stochastic microscopic model. The behavior of each agent is a dynamic...

Stability and Diversity in Collective Adaptation (2004)

Sato, Yuzuru, Akiyama, Eizo, Crutchfield, James P.

We derive a class of macroscopic differential equations that describe collective adaptation, starting from a discrete-time stochastic microscopic model. The behavior of each agent is a dynamic...

Stability and Diversity in Collective Adaptation (2004)

Sato, Yuzuru, Akiyama, Eizo, Crutchfield, James P.

We derive a class of macroscopic differential equations that describe collective adaptation, starting from a discrete-time stochastic microscopic model. The behavior of each agent is a dynamic...

Coupled Replicator Equations for the Dynamics of Learning in Multiagent Systems (2002)

Sato, Yuzuru, Crutchfield, James P.

Starting with a group of reinforcement-learning agents we derive coupled replicator equations that describe the dynamics of collective learning in multiagent systems. We show that, although agents...

Undecidability of the Imitation Game (1999)

Yuzuru Sato, Takashi Ikegami

This paper considers the concept of computability in the original version of the imitation game proposed by Alan M. Turing, the so-called Turing test. In the Turing test, a man, an imitating machine,...

Resonance between Noise and Delay (1998)

Ohira, Toru, Sato, Yuzuru

We propose here a stochastic binary element whose transition rate depends on its state at a fixed interval in the past. With this delayed stochastic transition this is one of the simplest dynamical...

Resonance in a Stochastic Neuron Model with Delayed Interaction (1970)

S. A. Solla, T. K. Leen, K. R. Muller, Toru Ohira, Yuzuru Sato, Jack D. Cowan

We study here a simple stochastic single neuron model with delayed self--feedback capable of generating spike trains. Simulations show that its spike trains exhibit resonant behavior between "noise"...

Chaos in learning a simple two-person game

Sato, Yuzuru, Akiyama, Eizo, Farmer, J. Doyne

We investigate the problem of learning to play the game of rock–paper–scissors. Each player attempts to improve her/his average score by adjusting the frequency of the three possible responses,...

Asymptotically scale-invariant occupancy of phase space makes the entropy Sq extensive

Tsallis, Constantino, Gell-Mann, Murray, Sato, Yuzuru

Phase space can be constructed for N equal and distinguishable subsystems that could be probabilistically either weakly correlated or strongly correlated. If they are locally correlated, we expect...

Chaos in learning a simple two-person game

Sato, Yuzuru, Akiyama, Eizo, Farmer, J. Doyne

We investigate the problem of learning to play the game of rock–paper–scissors. Each player attempts to improve her/his average score by adjusting the frequency of the three possible responses,...

Asymptotically scale-invariant occupancy of phase space makes the entropy Sq extensive

Tsallis, Constantino, Gell-Mann, Murray, Sato, Yuzuru

Phase space can be constructed for N equal and distinguishable subsystems that could be probabilistically either weakly correlated or strongly correlated. If they are locally correlated, we expect...

Computation with Switching Map Systems: Nonlinearity and Computational Complexity

Yuzuru Sato, Makoto Taiji, Takashi Ikegami

A dynamical-systems-based model of computation is studied. We demonstrate the computational ability of nonlinear mappings. There exists a switching map system with two types of baker's map to emulate...

Chaos in Learning a Simple Two Person Game

Yuzuru Sato, Eizo Akiyama, J. Doyne Farmer

We investigate the problem of learning to play a generalized rock-paper-scissors game. Each player attempts to improve her average score by adjusting the frequency of the three possible responses....