Learning Android Game Programming

A comprehensive overview of OpenMP, the standard application programming interface for shared memory parallel computing—a reference for students and professionals.

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication.Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but in terms of artificial communication.To do this, we need a concept of communication that can take into account the possibility that a communication partner may be not a human being but an al

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 re

A textbook that uses a hands-on approach to teach principles of programming languages, with Java as the implementation language.This introductory textbook teaches the principles of programming languages by using an experiential learning style, in which students learn about language features by realizing those features in a pedagogical compiler. Students use Java―the most commonly used programming language in the first two years of the computer science curriculum―as the implementation language throughout. The book also discusses a range of emerging topics in programming languages missing from existing textbooks, including concurrency, Big Data, and event-driven programming. The goal is to prepare students to design, implement, analyze, and understand both domain-specific and general-purpose programming languages. The book first develops basic concepts in languages, including means of computation using primitive values, means of combination such as variable definition and functions, an

If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought?Machine learning-programming computers to learn from data-has spread across scientific d

Machine learning -- programming computers to learn from data -- has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transactio

This collection presents the best of current work on all aspects of constraint logic programming languages, from theory through language implementation. Constraint logic programming, the notion of c

Investigating meta-programming within the logic programming paradigm, Meta-Logics and Logic Programming presents original research on an important extension of logic programming that makes it more ame

Includes tutorials, lectures, and refereed papers on all aspects of logic programming,The Joint International Conference and Symposium on Logic Programming, sponsored by the Association for Logic Prog

The annual International Logic Programming Symposium, traditionally held in North America, is one of the main international conferences sponsored by the Association of Logic Programming. The themes of

December 4-7, 1995, Portland, Oregon The International Logic Programming Symposium is one of two major international conferences sponsored by the Association of Logic Programming. It is held annually

Practical Parallel Programming provides scientists and engineers with a detailed, informative, and often critical introduction to parallel programming techniques. Parallel computers have become wide

The Tenth International Conference on Logic Programming, sponsored by the Association for Logic Programming, is a major forum for presentations of research, applications, and implementations in this i

Concurrent Constraint Programming introduces a new and rich class of programming languages based on the notion of computing with partial information, or constraints, that synthesize and extend work on

Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be comp

The third edition of Java Precisely provides a concise description of the Java programming language, version 8.0. It offers a quick reference for the reader who has already learned (or is learning) Ja

Includes tutorials, invited lectures, and refereed papers on all aspects of logic programming including: Constraints, Concurrency and Parallelism, Deductive Databases, Implementations, Meta and Higher

13-16 June 1995, Tokyo, Japan ICLP, which is sponsored by the Association for Logic Programming, is one of two major annual international conferences reporting recent research results in logic program

Conference proceedings presenting the state-of-the-art in Logic Programming.

The Structure of Typed Programming Languages describes the fundamental syntactic and semantic features of modern programming languages, carefully spelling out their impacts on language design. Using c

The past years have seen a large number of effective implementations of logic programs for a variety of computer architectures in numerous application areas. Logic programming continues to develop by

A Small Matter of Programming asks why it has been so difficult for end users to command programming power and explores the problems of end-user-driven application development that must be solved to a

To date, books on object-oriented programming have focused either on the methodology of the object-oriented paradigm or on teaching the details of a particular programming language. This collection ta

This collection of current research on logic programming languages presents results from a three-year, ESPRIT-funded effort to explore the integration of the foundational issues of functional, logic,

A comprehensive survey of the theory and applications of meta-programming, covering problems of representation and of soundness and correctness of interpreters, analysis and evaluation of meta-logic p

An introduction to game theory that offers not only theoretical tools but also the intuition and behavioral insights to apply these tools to real-world situations.This introductory text on game theory provides students with both the theoretical tools to analyze situations through the logic of game theory and the intuition and behavioral insights to apply these tools to real-world situations. It is unique among game theory texts in offering a clear, formal introduction to standard game theory while incorporating evidence from experimental data and introducing recent behavioral models. Students will not only learn about incentives, how to represent situations as games, and what agents “should” do in these situations, but they will also be presented with evidence that either confirms the theoretical assumptions or suggests a way in which the theory might be updated.Features:Each chapter begins with a motivating example that can be run as an experiment and ends with a discussion of the beh

New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process.In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization presents a robust machine learning approach that contains elements of mathematical optimization, game theory, and learning theory: an optimization method that learns from experience as more aspects of the problem are observed. This view of optimization as a process has led to some spectacular successes in modeling and systems that have become part of our daily lives. Based on the “Theoretical Machine Learning” course taught by the author at Princeton University, the second edition of this widely used graduate level text features:Thoroughly updated material throughoutNew chapters on boosting, ad

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the ne

The story of the arcane table-top game that became a pop culture phenomenon and the long-running legal battle waged by its cocreators.When Dungeons & Dragons was first released to a small hobby community, it hardly seemed destined for mainstream success--and yet this arcane tabletop role-playing game became an unlikely pop culture phenomenon. In Game Wizards, Jon Peterson chronicles the rise of Dungeons & Dragons from hobbyist pastime to mass market sensation, from the initial collaboration to the later feud of its creators, Gary Gygax and Dave Arneson. As the game's fiftieth anniversary approaches, Peterson--a noted authority on role-playing games--explains how D&D and its creators navigated their successes, setbacks, and controversies. Peterson describes Gygax and Arneson's first meeting and their work toward the 1974 release of the game; the founding of TSR and its growth as a company; and Arneson's acrimonious departure and subsequent challenges to TSR. He recounts the "Satanic Pan

The new edition of an introduction to the art of computational problem solving using Python.This book introduces students with little or no prior programming experience to the art of computational pro

An introduction to the basic concepts of game design, focusing on techniques used in commercial game production.This textbook by a well-known game designer introduces the basics of game design, coveri

This book builds a bridge between the recreational world of algorithmic puzzles (puzzles that can be solved by algorithms) and the pragmatic world of computer programming, teaching readers to program

Annette Vee attempts to lay out what is at stake when the ability to programming computers is framed as a "literacy." As her primary approach, Vee offers a series of arguments about the way the notion

What makes computer programs fast or slow? To answer this question, we have to go behind the abstractions of programming languages and look at how a computer really works. This book examines and expla

This book introduces programming to readers with a background in the arts and humanities; there are no prerequisites, and no knowledge of computation is assumed. In it, Nick Montfort reveals programmi

With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputin

We purchase video games to play them, not to save them. What happens to video gameswhen they are out of date, broken, nonfunctional, or obsolete? Should a game be considered an"ex-game" if it exists o

In The Well-Played Game, games guru Bernard De Koven explores theinteraction of play and games, offering players -- as well as game designers, educators, andscholars -- a guide to how games work. De K

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides student

Quest to Learn, an innovative school for grades 6 to 12 in New York City, grew out ofthe idea that gaming and game design offer a promising new paradigm for curriculum and learning. Thedesigners of Qu