Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments in search such as...
The recommended entry point to start exploring the NIO.2 API, also known as “JSR 203: More New I/O
APIs for the Java Platform” (NIO.2), is the new abstract class java.nio.file.Path. This class is a
milestone of NIO.2, and every application that involves I/O operations will exploit the powerful facilities
of this...
Many people do not realise that mathematics provides the foundation for the
devices we use to handle information in the modern world. Most of those who
do know probably think that the parts of mathematics involved are quite ‘classical’,
such as Fourier analysis and differential equations. In fact, a great deal
of...
These proceedings contain the papers that were presented at the 5th International
Conference on Language and Automata Theory and Applications (LATA
2011), held in Tarragona, Spain, during May 26–31, 2011.
The scope of LATA is rather broad, including: algebraic language theory;
algorithms for semi-structured...
As both a highly readable tutorial and a definitive reference for over a million Mathematica users worldwide, this book covers every aspect of Mathematica. It is an essential resource for all users of Mathematica from beginners to experts. This expanded fifth edition presents Mathematica Version 5 for the first time and is important for...
The main objective of this book is to provide the students with the opportunity to improve their
programming skills using the MATLAB environment to implement algorithms and to teach the use of
MATLAB as a tool in solving problems in engineering. This book includes the coverage of basics of
MATLAB and application of MATLAB software to...
Expert F# 3.0 is about practical programming in a beautiful language that puts the power and elegance of data-rich functional programming into the hands of professional developers. In combination with .NET, F# achieves unrivaled levels of programmer productivity and program clarity.
Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics, and machine learning. Filled with interesting new experimental results, Learning in Embedded Systems explores algorithms that learn efficiently from trial-and error experience with an external world. It is the first...
Although Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and computational logic, Bergadano and Gunetti propose that most of the research in ILP has in fact come from machine learning, particularly in the evolution of inductive reasoning from pattern recognition, through...
The term problem solving is used in many disciplines, sometimes with different perspectives.
As one of the important topics in artiï¬cial intelligence (AI) research, it is a computerized
process of human problem-solving behaviors. So the aim of problem solving is to develop
techniques that program computers to ï¬nd solutions...
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...
This collaborative volume presents recent trends arising from the fruitful interaction between the themes of combinatorics on words, automata and formal language theory, and number theory. Presenting several important tools and concepts, the authors also reveal some of the exciting and important relationships that exist between these...
