The theory of information integration provides a unified, general approach to the three disciplines of cognitive, social, and developmental psychology. Each of these volumes illustrates how the concepts and methods of this experimentally-grounded theory may be productively applied to core problems in one of these three disciplines.

The book deals with two focal issues: 1. The structural rules according to which information is organized in perception (Part I). 2. The rules on how pieces of information are integrated and transformed into judgements (Part II).Included in Part I are theories on neural mechanisms and models linking perception and memory. Part II refers to simple physical and complex semantic dimensions. Antecedents in animal behaviour are explored too. The book is intended for a broad readership; it should stimulate research which will link topics that have been traditionally separated.Features of the book are: - a synopsis of discrete, structural and quantitative aspects of perception linking perception with higher cognition and memory. - an overview on new approaches and findings from East and West on perceptual organization and rules inherent to judgement. - the chapters are strongly interconnected and didactical in tone. Introductions are designed to increase readability of the work.

Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application. Written by three of the most respected experts in the field, this book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. This text is an ideal resource for database practitioners in industry, including data warehouse engineers, database system designers, data architects/enterprise architects, database researchers, statisticians, and data analysts; students in data analytics and knowledge discovery; and other data professionals working at the R&D and implementation levels. - Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand - Enables you to build your own algorithms and implement your own data integration applications

A unified, general theory of functional cognition is presented in this book. Its generality appears in the titles of the 13 chapters listed below. Its unity appears in the effectiveness of the same methods and concepts across all of these areas. Generality and unity both stem from the foundation axiom of purposiveness. The axiom of purposiveness has been made effective through capability for functional measurement of values, which embody the goal-directed character of purposiveness. This measurement capability is based on the general cognitive algebra established in information integration theory. Functional theory can thus be made precise and effective near the level of everyday phenomenology. The book is written at a relatively simple level, directed at readers in every field of psychology. Among its characteristics are: * self-sufficient theory near the level of everyday phenomenology; * foundation on structure of the internal world; and * solid grounding in experimental analysis.

Some years ago we, the editors of this volume, found out about each other's deeply rooted interest in the concept of time, the usage of time, and the effects of shortage of time on human thought and behavior. Since then we have fostered the idea of bringing together different perspectives in this area. We are now, there fore, very content that our idea has materialized in the present volume. There is both anecdotal and empirical evidence to suggest that time con straints may affect behavior. Managers and other professional decision makers frequently identify time pressure as a major constraint on their behavior (Isen berg, 1984). Chamberlain and Zika (1990) provide empirical support for this view, showing that complaints of insufficient time are the most frequently report ed everyday minor stressors or hassles for all groups of people except the elderly. Similarly, studies in occupational settings have identified time pressure as one of the central components of workload (Derrich, 1988; O'Donnel & Eggemeier, 1986).

This book constitutes the refereed proceedings of the Third International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2004 held at Wilheminenburg Castle, Austria in February 2004. The 18 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 64 submissions. Among the topics covered are data integration, data security, logic programming and databases, relational reasoning, database queries, higher-order data models, updates, database views, OLAP, belief modeling, fixpoint computations, interaction schemes, plan databases, etc.