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Intelligent Autonomous Systems, IAS--3
A collection of papers dealing with complete systems of intelligent robots, focusing on autonomy. The contributions cover intelligent perception, intelligent planning and control, and integrated systems.
The Oxford History of Phonology
This volume is the first to provide an up-to-date and comprehensive history of phonology, spanning the history of phonological thought from Panini to the latest advances in computational modelling and learning. This in-depth exploration provides new perspectives on where phonology has been and sheds light on where it could go next
The Origins of Vowel Systems
This book addresses the question of how the properties of human vowel systems can be explained. Though it is found that vowel systems of human languages are optimal for communicative purposes, it is not clear who is doing the optimization. If children learn a language, they learn to produce sounds that are as close as possible to those used by their parents and peers. The hypothesis is put forward that the optimization is the result of self-organization in a population of language users. Self-organization is the emergence of order on a global scale in a system where there are only local interactions. It is a phenomenon that appears in many natural systems from purely physical ones, such as c...
Parallel Problem Solving from Nature-PPSN VI
We are proud to introduce the proceedings of the Sixth International Conference on Parallel Problem Solving from Nature, PPSN VI, held in Paris, Prance, on 18-20 September 2000. PPSN VI was organized in association with the Genetic and Evolutionary Computing Conference (GECCO'2000) and the Congress on Evolutionary Computation (CEC'2000), reflecting the beneficial interaction between the conference activities in Europe and in the USA in the field of natural computation. Starting in 1990 in Dortmund, Germany (Proceedings, LNCS vol. 496, Sprin ger, 1991), this biannual meeting has been held in Brussels, Belgium (Procee dings, Elsevier, 1992), Jerusalem, Israel (Proceedings, LNCS vol. 866, Sprin...
Geometric Reasoning for Perception and Action
Geometry is a powerful tool to solve a great number of problems in robotics and computer vision. Impressive results have been obtained in these fields in the last decade. It is a new challenge to solve problems of the actual world which require the ability to reason about uncertainty and complex motion constraints by combining geometric, kinematic, and dynamic characteristics. A necessary step is to develop appropriate geometric reasoning techniques with reasonable computational complexity. This volume is based on a workshop held in Grenoble, France,in September 1991. It contains selected contributions on several important areas in the field of robotics and computer vision. The four chapters cover the following areas: - motion planning with kinematic and dynamic constraints, - motion planning and control in the presence of uncertainty, - geometric problems related to visual perception, -numerical problems linked to the implementation of practical algorithms for visual perception.
Engineering Background Knowledge for Social Robots
Social robots are embodied agents that perform knowledge-intensive tasks involving several kinds of information from different heterogeneous sources. This book, Engineering Background Knowledge for Social Robots, introduces a component-based architecture for supporting the knowledge-intensive tasks performed by social robots. The design was based on the requirements of a real socially-assistive robotic application, and all the components contribute to and benefit from the knowledge base which is its cornerstone. The knowledge base is structured by a set of interconnected and modularized ontologies which model the information, and is initially populated with linguistic, ontological and factua...
Toward a Practice of Autonomous Systems
Artificial life embodies a recent and important conceptual step in modem science: asserting that the core of intelligence and cognitive abilities is the same as the capacity for living. The recent surge of interest in artificial life has pushed a whole range of engineering traditions, such as control theory and robotics, beyond classical notions of goal and planning into biologically inspired notions of viability and adaptation, situatedness and operational closure. These proceedings serve two important functions: they address bottom-up theories of artificial intelligence and explore what can be learned from simple models such as insects about the cognitive processes and characteristic auton...
The Practical Handbook of Genetic Algorithms
The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organism
The Syllable in Speech Production
As a testament to the scope of Peter MacNeilage’s scholarly work across his 40 year career, contributions to this tribute volume represent a broad spectrum of the seminal issues addressed by phonetic and evolutionary science over a number of years. Approaches to the problems raised by attempting to understand these fundamental topics are illustrated in the broad diversity of paradigms represented in the volume. This diversity in itself is a tribute to the breadth of scholarly questions pursued by MacNeilage across his career. Chapters are arranged around five thematic areas. Two themes, Evolutionary Perspectives on Speech Production and Acquisition of Speech, reflect the major thrust of Pe...
Machine Learning
A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms. Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area. Remedying this deficiency, Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary progr...
