learning theory, neural networks, statistics, and pattern recognition have discovered one another and begun to work together. Second, machine learning techniques are being applied to new kinds of problems including knowledge discovery in databases, language processing, robot control, and combinatorial

on what a set of autonomous mobile robots can or cannot achieve. We therefore study a hard task for a set of weak robots. The task is for the robots in the plane to form any arbitrary pattern that is given in advance. This task is fundamental in the sense that if the robots can form any pattern, they can

We present a detailed study of network evolution by analyzing four large online social networks with full temporal information about node and edge arrivals. For the first time at such a large scale, we study individual node arrival and edge creation processes that collectively lead to macroscopic

simulation experiments, and 40+ experiments with four physical robots, showing the viability of our approach. The key idea is that each robot keeps a single friend at a desired angle #, using some appropriate sensor. By panning the sensor by # degrees, the goal for all formations becomes simply to center

reconstruction from multiple receiver data. Using the framework of linear algebra, two different reconstruction strategies have been derived. In their general forms the resulting formulae hold for arbitrary sampling patterns in k-space. A detailed discussion is dedicated to the most practical case, namely

Abstract—This paper presents a behavior-based approach to formation maneuvers for groups of mobile robots. Complex formation maneuvers are decomposed into a sequence of maneuvers between formation patterns. The paper presents three formation control strategies. The first strategy uses relative

syllables. The sentences were produced by eight Mandarin speakers with four different focus patterns: focus on the first, second, or last word, or with no narrow focus. The f0patterns of these sentences were examined through point-by-point f0tracing, graphical comparison of averaged f0contours, f0-contour

The paper surveys work on the computational modeling of the origins and evolution of language. The main approaches are clarified and some example experiments from the domains of the evolution of communication, phonetics, lexicon formation, and syntax are discussed. 1 Introduction The paper surveys

Consider a set of anonymous mobile robots, and the patterns they can collectively form in the plane. If each robot has a compass needle that indicates North but there is no agreement on East and West (i.e., no chirality), it is known that every arbitrary pattern given in input can be formed

This article presents a study of corrective feedback and learner uptake (i.e., responses to feedback) in four immersion classrooms at the primary level. Transcripts totaling 18.3 hours of classroom interaction taken from 14 subject-matter lessons and 13 French language arts lessons were analyzed