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Bayesian Programming
Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in natur
Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by Pierre Bessiere, Christian Laugier and Roland Siegwart provides a unique collection of a sizable segment of the cognitive systems research community in Europe. It reports on contributions from leading academic institutions brought together within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS). This fourteen-chapter volume covers important research along two main lines: new probabilistic models and algorithms for perception and action, new probabilistic methodology and techniques for artefact conception and development. The work addresses key issues concerned with Bayesian programming, navigation, filtering, modelling and mapping, with applications in a number of different contexts.
Machine Learning
A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince 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
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...
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...
The Origins of Vowel Systems
This book addresses universal tendencies of human vowel systems from the point of view of self-organization. It uses computer simulations to show that the same universal tendencies found in human languages can be reproduced in a population of artificial agents. These agents learn and use vowels with human-like perception and production, using a learning algorithm that is cognitively plausible. The implications of these results for the evolution of language are then explored.
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.
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 Oxford History of Phonology
This volume is the first to provide an up-to-date and comprehensive history of phonology from the earliest known examples of phonological thinking, through the rise of phonology as a field in the twentieth century, and up to the most recent advances. The volume is divided into five parts. Part I offers an account of writing systems along with chapters exploring the great ancient and medieval intellectual traditions of phonological thought that form the foundation of later thinking and continue to enrich phonological theory. Chapters in Part II describe the important schools and individuals of the late nineteenth and early twentieth centuries who shaped phonology as an organized scientific fi...
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...
