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Foundations of Empirical Software Engineering
Although software engineering can trace its beginnings to a NATO conf- ence in 1968, it cannot be said to have become an empirical science until the 1970s with the advent of the work of Prof. Victor Robert Basili of the University of Maryland. In addition to the need to engineer software was the need to understand software. Much like other sciences, such as physics, chemistry, and biology, software engineering needed a discipline of obs- vation, theory formation, experimentation, and feedback. By applying the scientific method to the software engineering domain, Basili developed concepts like the Goal-Question-Metric method, the Quality-Improvement- Paradigm, and the Experience Factory to he...
Artificial Life VII
The term "artificial life" describes research into synthetic systems that possess some of the essential properties of life. This interdisciplinary field includes biologists, computer scientists, physicists, chemists, geneticists, and others. Artificial life may be viewed as an attempt to understand high-level behavior from low-level rules—for example, how the simple interactions between ants and their environment lead to complex trail-following behavior. An understanding of such relationships in particular systems can suggest novel solutions to complex real-world problems such as disease prevention, stock-market prediction, and data mining on the Internet. Since their inception in 1987, the Artificial Life meetings have grown from small workshops to truly international conferences, reflecting the field's increasing appeal to researchers in all areas of science.
Cellular Automata
This volume contains the proceedings of the Fifth International Conference on Cellular Automata for Research and Industry (ACRI 2002) that was held in - neva on October 9–11, 2002. After more modest beginnings in 1994 as a largely Italian conference, over the years ACRI has gradually become ?rmly established as one of the premier conferences in the ?eld of cellular automata in Europe and beyond. Althoughthe?eldofcellularautomataisarelativelyoldandestablishedone, these simple but powerful systems and their newer variations continue to attract the interest of researchers after more than half a century since the seminal work of Ulam and Von Neumann. The ACRI series of conferences has the ambi...
Cellular Automata
This book constitutes the refereed proceedings of the 6th International Conference on Cellular Automata for Research and Industry, ACRI 2004, held in Amsterdam, The Netherlands in October 2004. The 60 revised full papers and 30 poster papers presented were carefully reviewed and selected from 150 submissions. The papers are devoted to methods and theory; evolved cellular automata; traffic, networks, and communication; applications in science and engineering; biomedical applications, natural phenomena and ecology; and social and economical applications.
Knowledge-Based System Diagnosis, Supervision, and Control
It is in the area of Systems Diagnosis. Supervision and Control that Knowledge-Based Techniques have had their most significant impact in recent years. In this volume. Spyros Tzafestas has ably put together the current state of the art of the application of Artificial Intelligence concepts to problems of Systems Diagnosis. All the authors in this edited work are distinguished internationally. recognized experts on various aspects of Artificial Intelligence and its applications. and the coverage of the field that they provide is both readable and authoritative. The sixteen chapters break down in a natural way into three broad categories i.e •• (a) introduction to the applications of Exper...
Learning in Graphical Models
In the past decade, a number of different research communities within the computational sciences have studied learning in networks, starting from a number of different points of view. There has been substantial progress in these different communities and surprising convergence has developed between the formalisms. The awareness of this convergence and the growing interest of researchers in understanding the essential unity of the subject underlies the current volume. Two research communities which have used graphical or network formalisms to particular advantage are the belief network community and the neural network community. Belief networks arose within computer science and statistics and...
Data-Driven Computational Neuroscience
Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.
Clinical Information Systems
As its name implies, this book deals with clinical information systems. The clinical information system (or CIS) is an automated system with a long term database containing clinical information used for patient care. This definition excludes business systems (no clinical data), physiological monitoring systems (no long term database), and many research systems (not used in patient care). The theses of this book are (a) that CIS technology is mature, (b) that the CIS will have a major impact upon patient care and the health delivery system, and (c) that the number of commercial systems which now offer these potential benefits is very small. The objective of this book is to establish the above...
