As robots are becoming more and more complex, with higher degrees-of-freedom, lighter limbs, and springy joints, it becomes harder to control their movements. New approaches, inspired from neuroscience, are attracting increased attention among computer scientists dealing with motor control. The focus in this thesis is on how robots can learn to control their limbs by learning how their bodies w...

This paper evaluates our current knowledge about the nature of internal war and some of the research being undertaken to increase this knowledge. There were 380 conflicts in the world in the 19 years following World War II, involving 101 (81 percent) of the 123 independent countries in the world. During this period, there were from 13 to 30 new conflicts each year and an average of 13.6 on-goin...

A new kind of quantum statistics which interpolates between Bose and Fermi statistics is proposed beginning with the assumption that the quantum state of a many-particle system is a functional on the internal space of the particles. The quantum commutation relations for such particle creation and annihilation operators are derived, and statistical partition function and thermodynamical properti...

We consider an ultracold gas of (noncondensed) bosons or fermions with two internal states, and we study the effect of a gradient of the transition frequency between these states. When a pi/2 rf pulse is applied to the sample, exchange effects during collisions transfer the atoms into internal states which depend on the direction of their velocity. This results, after a short time, in a spatial...

GPOMDP is an algorithm for estimating the gradient of the average reward for arbitrary Partially Observable Markov Decision Processes (POMDPs) controlled by parameterized stochastic policies. It applies to purely reactive (memoryless) policies, or policies that generate actions as a function of finite histories of observations. Based on the fact that maintenance of a belief state is sufficient ...

Introduction: C. elegans neural network is a good sample for neural networks studies, because its structural details are completely determined. In this study, the virtual neural network of this worm that was proposed by Suzuki et al. for control of movement was reconstructed by adding newly discovered synapses for each of these network neurons. These synapses are newly discovered in the actu...

In this paper, we propose a new method of differential fault analysis of SHA-3 which is based on the differential relations of the algorithm. Employing those differential relations in the fault analysis of SHA-3 gives new features to the proposed attacks, e.g., the high probability of fault detection and the possibility of re-checking initial faults and the possibility to recover internal state...