Programming languages are often classified according to their paradigms, e.g. imperative, functional, logic, constraint-based, object-oriented, or aspect-oriented. A paradigm characterizes the style,
This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and method
"The book is focused on the developments and prospective challenging problems in the area of mind game playing (i.e. playing games that require mental skills) using Computational Intelligence (CI) met
Structured in a problem-solution format, this undergraduate text motivates the student to think through the programming process. New to the second edition are added chapters on suffix trees, games and
This book is about synchronous programming for the design of, safety critical, embedded systems, such as automotive, avionics, nuclear power plants, telecommunication and multimedia. The techniques pr
Solving optimization problems in complex systems often requires the implementation of advanced mathematical techniques. Quadratic programming (QP) is one technique that allows for the optimization of
Game Theoretic Risk Analysis of Security Threats introduces reliability and risk analysis in the face of threats by intelligent agents. More specifically, game-theoretic models are developed for ident
This is the only advanced programming book on R, the enormously successful open-source system based on the S language. It is written by John Chambers, the author of the S language from which R evolve
This state-of-the-art survey, reflecting on the teaching of programming, has been written by a group of primarily Scandinavian researchers and educators with special interest and experience in the sub
"Linear and Nonlinear Programming" is considered a classic textbook in Optimization. While it is a classic, it also reflects modern theoretical insights. These insights provide structure to what migh
This book investigates models in cooperative game theory in which the players have the possibility to cooperate partially. In a crisp game the agents are either fully involved or not involved at all i
In the pages of this text readers will find nothing less than a unified treatment of linear programming. Without sacrificing mathematical rigor, the main emphasis of the book is on models and applicat
The book is an introductory textbook mainly for students of computer science and mathematics. Its guiding phrase is "what every theoretical computer scientist should know about linear programming". A
Industrial Robots Programming focuses on designing and building robotic manufacturing cells, and explores the capabilities of today s industrial equipment as well as the latest computer and software t
The work described in this book was first presented at the Second Workshop on Genetic Programming, Theory and Practice, organized by the Center for the Study of Complex Systems at the University of Mi
Originally published in 1981, this was the first textbook on programming in the Prolog language and is still the definitive introductory text on Prolog. Though many Prolog textbooks have been publishe
The use of constraints had its scientific and commercial breakthrough in the 1990s. Programming with constraints makes it possible to model and specify problems with uncertain, incomplete information
Bilevel programming problems are hierarchical optimization problems where the constraints of one problem (the so-called upper level problem) are defined in part by a second parametric optimization
"This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research. There is substantial attention to programming, output analysis, pseudo-ran
This book is on applications of game theory. It contains a lot of examples of applications of game theory together with the background of those games considered and a list of unsolved problems. Also w
Semidefinite programming (SDP) is one of the most exciting and active research areas in optimization. It has and continues to attract researchers with very diverse backgrounds, including experts in
This book concerns programming techniques like object-oriented programming and generic (template) programming. These modern techniques have proven to increase flexibility, modularization, code reuse a
A workbook for programmers who are new to Prolog and who wish to write useful Prolog programs, by the first author of the runaway bestseller "Programming in Prolog" (with C.S. Mellish).
Here is a presentation of LISP which is both practical and theoretical. For the practical, the syntax of the language, the programming styles, and the semantics of computation are carefully developed.
Nonlinear programming provides an excellent opportunity to explore an interesting variety of pure and solidly applicable mathematics, numerical analysis, and computing. This text develops some of the
This book explores how traditional institutions of education are affected by the current discourse and practices of ‘learning’; and more specifically, how the evolution towards so-called ‘learning env
The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies
Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical system
This volume sheds light on debates about personalised learning in teacher education by exploring the popular emergence of personalising learning in education and hence its significance in teacher educ
‘Behavioral Neuroscience of Learning and Memory’ brings together the opinions and expertise of some of the world’s foremost neuroscientists in the field of learning and memory research. The volume pro
This integrated collection of perspectives on the spaces of teaching and learning uses ‘learning space’ to place educational practice in context. It considers the complex relationships involved in the
This book focuses on the game-theoretical semantics and epistemic logic of Jaakko Hintikka. Hintikka was a prodigious and esteemed philosopher and logician, and his death in August 2015 was a huge los
This book presents an introduction to Evolutionary Game Theory (EGT) which is an emerging field in the area of complex systems attracting the attention of researchers from disparate scientific communi
This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer
This book analyzes the nature and requirements of workplace e-learning based on relevant theories such as adult learning, community of practice, organizational learning, and the systems thinking. By i
This book explores the theoretical foundations of gamification in learning and education. It has become increasingly difficult to engage and motivate students. Gamification not only makes learning int
This is the first book to connect the concepts of active learning and deep learning, and to delineate theory and practice through collaboration between scholars in higher education from three countrie
This book offers several insights into cross-cultural and multilingual learning, drawing upon recent research within two main areas: Language Studies and Multilingual Language Learning/Teaching. It pl
This book describes lessons learned from the implementation of research based learning at Maastricht University. Well-known for its problem based learning (PBL) educational model, Maastricht Universit
This book addresses the theory and practice of using digital resources for contemporary learning, and how such resources can be designed, developed, and employed in a variety of learning activities an
