In this paper, we discuss the dynamical issues of quantum computation. We demonstrate that fast wave function oscillations can affect the performance of Shor’s quantum algorithm by destroying required quantum interference. We also show that this destructive effect can be routinely avoided by using resonant-pulse techniques. We discuss the dynamics of resonant pulse implementations of quantum lo...

Previously, we showed that a minimally cognitive, visual agent demonstrated selective attention and reactive inhibition (Ward & Ward, in press). Surprisingly, we discovered the existence of an opponent-process architecture in our agent’s evolved, neural-network controller. Here, we investigate how opponent processes affect response control in the agent. We scale up cognitive problem solving by ...

Currently, the hidden Markov model (HMM) is the predominant model studied and used for speech recognition. There has been undeniable progress in speech recognition through the study of HMM but the huge gap that exists between user’s expectation and progress is also undeniable. There are essentially two limitation with the HMM: (1) The Markovian structure in HMM leads to limitation in what it ca...

We present a full variational treatment of the Coupled Gaussian Process Dynamical Model (CGPDM), which is a non-parametric, modular dynamical movement primitive model. Our work builds on similar developments in Gaussian state-space models, but we obviate the need for sampling, which results in a fast deterministic approximation for the posterior of latent states. We illustrate the performance o...

modeling and analysis of future prices has been hot topic for economic analysts in recent years. traditionally, the complex movements in the prices are usually taken as random or stochastic process. however, they may be produced by a deterministic nonlinear process. accuracy and efficiency of economic models in the short period forecasting is strategic and crucial for business world. nonlinear ...