This book originates from the International Symposium on Compositionality, COMPOS'97, held in Bad Malente, Germany in September 1997. The 25 chapters presented in revised full version reflect the current state of the art in the area of compositional reasoning about concurrency. The book is a valuable reference for researchers and professionals interested in formal systems design and analysis; it also is well suited for self study and use in advanced courses.

This book originates from the International Symposium on Compositionality, COMPOS'97, held in Bad Malente, Germany in September 1997. The 25 chapters presented in revised full version reflect the current state of the art in the area of compositional reasoning about concurrency. The book is a valuable reference for researchers and professionals interested in formal systems design and analysis; it also is well suited for self study and use in advanced courses.

By highlighting relations between experimental and theoretical work, this volume explores new ways of addressing one of the central challenges in the study of language and cognition. The articles bring together work by leading scholars and younger researchers in psychology, linguistics and philosophy. An introductory chapter lays out the background on concept composition, a problem that is stimulating much new research in cognitive science. Researchers in this interdisciplinary domain aim to explain how meanings of complex expressions are derived from simple lexical concepts and to show how these meanings connect to concept representations. Traditionally, much of the work on concept composition has been carried out within separate disciplines, where cognitive psychologists have concentrated on concept representations, and linguists and philosophers have focused on the meaning and use of logical operators. This volume demonstrates an important change in this situation, where convergence points between these three disciplines in cognitive science are emerging and are leading to new findings and theoretical insights. This book is open access under a CC BY license.

In this book leading scholars from every relevant field report on all aspects of compositionality, the notion that the meaning of an expression can be derived from its parts. Understanding how compositionality works is a central element of syntactic and semantic analysis and a challenge for models of cognition. It is a key concept in linguistics and philosophy and in the cognitive sciences more generally, and is without question one of the most exciting fields in the study of language and mind. The authors of this book report critically on lines of research in different disciplines, revealing the connections between them and highlighting current problems and opportunities. The force and justification of compositionality have long been contentious. First proposed by Frege as the notion that the meaning of an expression is generally determined by the meaning and syntax of its components, it has since been deployed as a constraint on the relation between theories of syntax and semantics, as a means of analysis, and more recently as underlying the structures of representational systems, such as computer programs and neural architectures. The Oxford Handbook of Compositionality explores these and many other dimensions of this challenging field. It will appeal to researchers and advanced students in linguistics and philosophy and to everyone concerned with the study of language and cognition including those working in neuroscience, computational science, and bio-informatics.

This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated examples and code chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package “compositions,” it is also a general introductory text on Compositional Data Analysis. Awareness of their special characteristics spread in the Geosciences in the early sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, research has expanded our understanding of their theoretical principles and the potentials and limitations of their interpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications with regard to software. The book is intended for scientists interested in statistically analyzing their compositional data. The subject enjoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum of recent applications also covers areas like medicine, official statistics, and economics. Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained.

Recent theoretical and experimental research on action and language processing in humans and animals clearly demonstrates the strict interaction and co-dependence between language and action. This has been demonstrated in neuroscientific investigations (e.g. Cappa&Perani, 2003; Pulvermuller 2003; Rizzolatti&Arbib, 1998), psychology experiments (e.g. Glenberg&Kaschak, 2002; Pecher&Zwaan 2005), evolutionary psychology (e.g. Corballis 2002) and computational modelling (e.g. Cangelosi&Parisi 2004; Massera et al. 2008). All these studies have important implication both for the understanding of the action basis of cognition in natural and artificial cognitive systems, as well as for the design of cognitive and communicative capabilities in robots (Cangelosi et al. 2005). The journal “Frontiers in Neurorobotics” is seeking submissions of new articles in the topic of action and language integration both in natural cognitive systems (e.g. humans and animals) and in artificial cognitive agents (robots and simulated agents). Manuscripts can regard new theoretical and computational investigations, as well as new neuroscientific and psychological investigations. Review articles in this topic are also welcome.