programming game ai by example (18 Ergebnisse)

Paperback. Zustand: Very Good.

Paperback. Zustand: Very Good. Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: * Collaborative filtering techniques that enable online retailers to recommend products or media * Methods of clustering to detect groups of similar items in a large dataset * Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm * Optimization algorithms that search millions of possible solutions to a problem and choose the best one * Bayesian filtering, used in spam filters for classifying documents based on word types and other features * Using decision trees not only to make predictions, but to model the way decisions are made * Predicting numerical values rather than classifications to build price models * Support vector machines to match people in online dating sites * Non-negative matrix factorization to find the independent features in a dataset * Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Zustand: Very Good. This book is designed to cover the basics of C++, the powerful programming language used by developers all over the world. Its readily understandable concepts and easy syntax areused in video games, embedded systems, IoT devices, and resource-heavy AI applications. Using a self-teaching method with numerous examples and figures, the book covers all of the major C++ concepts, including pointers, classes, strings, arrays, polymorphism, inheritance, file handling, and more. Various types of the end of chapter exercises include theoretical, practical, and multiple choice (with answers) to enhance comprehension of the topics covered. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Taschenbuch. Zustand: Neu. Neuware - Unlike some operating systems, Linux doesn t try to hide the important bits from you it gives you full control of your computer. But to truly master Linux, you need to understand its internals, like how the system boots, how networking works, and what the kernel actually does.In this completely revised second edition of the perennial best seller How Linux Works, author Brian Ward makes the concepts behind Linux internals accessible to anyone curious about the inner workings of the operating system. Inside, you ll find the kind of knowledge that normally comes from years of experience doing things the hard way. You ll learn: How Linux boots, from boot loaders to init implementations (systemd, Upstart, and System V) How the kernel manages devices, device drivers, and processes How networking, interfaces, firewalls, and servers work How development tools work and relate to shared libraries How to write effective shell scriptsYou ll also explore the kernel and examine key system tasks inside user space, including system calls, input and output, and filesystems. With its combination of background, theory, real-world examples, and patient explanations, How Linux Works will teach you what you need to know to solve pesky problems and take control of your operating system.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Imagine yourself as a military officer in a conflict zone trying to identify locations of weapons caches supporting road-side bomb attacks on your country's troops. Or imagine yourself as a public health expert trying to identify the location of contaminated water that is causing diarrheal diseases in a local population. Geospatial abduction is a new technique introduced by the authors that allows such problems to be solved.Geospatial Abduction provides the mathematics underlying geospatial abduction and the algorithms to solve them in practice; it has wide applicability and can be used by practitioners and researchers in many different fields. Real-world applications of geospatial abduction to military problems are included. Compelling examples drawn from other domains as diverse as criminology, epidemiology and archaeology are covered as well. This book also includes access to a dedicated website on geospatial abduction hosted by University of Maryland.Geospatial Abduction targets practitioners working in general AI, game theory, linear programming, data mining, machine learning, and more. Those working in the fields of computer science, mathematics, geoinformation, geological and biological science will also find this book valuable.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Imagine yourself as a military officer in a conflict zone trying to identify locations of weapons caches supporting road-side bomb attacks on your country's troops. Or imagine yourself as a public health expert trying to identify the location of contaminated water that is causing diarrheal diseases in a local population. Geospatial abduction is a new technique introduced by the authors that allows such problems to be solved.Geospatial Abduction provides the mathematics underlying geospatial abduction and the algorithms to solve them in practice; it has wide applicability and can be used by practitioners and researchers in many different fields. Real-world applications of geospatial abduction to military problems are included. Compelling examples drawn from other domains as diverse as criminology, epidemiology and archaeology are covered as well. This book also includes access to a dedicated website on geospatial abduction hosted by University of Maryland.Geospatial Abduction targets practitioners working in general AI, game theory, linear programming, data mining, machine learning, and more. Those working in the fields of computer science, mathematics, geoinformation, geological and biological science will also find this book valuable.

Buch. Zustand: Neu. Neuware - The new edition of an introduction to multiagent systems that captures the state of the art in both theory and practice, suitable as textbook or reference.Multiagent systems are made up of multiple interacting intelligent agents computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. They are the enabling technology for a wide range of advanced applications relying on distributed and parallel processing of data, information, and knowledge relevant in domains ranging from industrial manufacturing to e-commerce to health care. This book offers a state-of-the-art introduction to multiagent systems, covering the field in both breadth and depth, and treating both theory and practice. It is suitable for classroom use or independent study.This second edition has been completely revised, capturing the tremendous developments in multiagent systems since the first edition appeared in 1999. Sixteen of the book's seventeen chapters were written for this edition; all chapters are by leaders in the field, with each author contributing to the broad base of knowledge and experience on which the book rests.The book covers basic concepts of computational agency from the perspective of both individual agents and agent organizations; communication among agents; coordination among agents; distributed cognition; development and engineering of multiagent systems; and background knowledge in logics and game theory. Each chapter includes references, many illustrations and examples, and exercises of varying degrees of difficulty. The chapters and the overall book are designed to be self-contained and understandable without additional material. Supplemental resources are available on the book's Web site.ContributorsRafael Bordini, Felix Brandt, Amit Chopra, Vincent Conitzer, Virginia Dignum, Jürgen Dix, Ed Durfee, Edith Elkind, Ulle Endriss, Alessandro Farinelli, Shaheen Fatima, Michael Fisher, Nicholas R. Jennings, Kevin Leyton-Brown, Evangelos Markakis, Lin Padgham, Julian Padget, Iyad Rahwan, Talal Rahwan, Alex Rogers, Jordi Sabater-Mir, Yoav Shoham, Munindar P. Singh, Kagan Tumer, Karl Tuyls, Wiebe van der Hoek, Laurent Vercouter, Meritxell Vinyals, Michael Winikoff, Michael Wooldridge, Shlomo Zilberstein.

Buch. Zustand: Neu. Neuware - Automated planning technology now plays a significant role in a variety of demanding applications, ranging from controlling space vehicles and robots to playing the game of bridge. These real-world applications create new opportunities for synergy between theory and practice: observing what works well in practice leads to better theories of planning, and better theories lead to better performance of practical applications. Automated Planning mirrors this dialogue by offering a comprehensive, up-to-date resource on both the theory and practice of automated planning. The book goes well beyond classical planning, to include temporal planning, resource scheduling, planning under uncertainty, and modern techniques for plan generation, such as task decomposition, propositional satisfiability, constraint satisfaction, and model checking. The authors combine over 30 years experience in planning research and development to offer an invaluable text to researchers, professionals, and graduate students. Provides a thorough understanding of AI planning theory and practice, and how they relate to each other Covers all the contemporary topics of planning, as well as important practical applications of planning, such as model checking and game playing Presents case studies and applications in planning engineering, space, robotics, CAD/CAM, process control, emergency operations, and games Provides lecture notes, examples of programming assignments, pointers to downloadable planning systems and related information online.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Intelligent tutoring and high school mathematics.- Generality watching: ITS caught between science and engineering.- Guidon-manage revisited: A socio-technical systems approach.- Programming environments for novices.- Granularity and context in learning.- Going from intelligent tutors to tools for learning.- Assisted mathematics: the case of discrete probabilities.- Learning recursion through the use of a mental model-based programming environment.- STUDIA: un syst¿ tutoriel intelligent coop¿tif fond¿ur la n¿ciation et sur un mod¿ dynamique de dialogue.- An iconic intention-driven its environment.- Providing problem explanation for ITS.- The Fawlty article tutor.- Towards an epistemology for Guided Discovery Tutoring: The Popperian connection.- Making processes visible: Scaffolding learning with reasoning-congruent representations.- Winch simulation: Multiple, linked representations of linear functions.- A learning environment based on multiple qualitative models.- EXPITS: an experimental environment on ITS.- Intelligent tutoring system for symbolic calculation.- Curriculum tree: A knowledge-based architecture for intelligent tutoring systems.- L'Assistance ¿'usager dans DIGITEF: un m¿nisme r¿ilisable.- R¿lution par analogie de probl¿s g¿¿iques dans une perspective tutorielle.- A pedagogical design and architecture for intelligent tutoring and aiding in supervisory control of complex systems.- Une architecture multiagent.- From elementary knowledge schemes towards heuristic expertise ¿ Designing an its in the field of parallel programming.- Answering student queries: Functionality and mechanisms.- Instruction as reasoning about multiple objectives.- Repr¿ntation des connaissances dans un g¿rateur de syst¿s d'E.I.A.O.- Knowledge representation for an intelligent tutoring system based on a multilevel causal model.- Knowledge base compilation and the language design game.- Instructional expertise.- Cognitio: An extended computational theory of cognition.- Apport du style linguistique ¿a mod¿sation cognitive d'un el¿.- A cognitive framework for Second Language error diagnosis.- Evaluation of Feature Based Modelling in subtraction.- Une mod¿sation de l'architecture cognitive d'un ¿diant pour un syst¿ tutoriel intelligent.- Bootstrapping mental constructions: a learning system about negative numbers.- Towards the theory-guided design of help systems for programming and modelling tasks.- A new architecture for Intelligent Help Systems.- The UNIX Tutor.- Tuteurs Intelligents et Intelligence Artificielle: probl¿s pos¿en construction de figures g¿¿iques.- G¿ration d'exercices en alg¿e, premi¿s approches dans le cadre du projet APLUSIX.- ADAPT: Automated debugging in an adaptive Prolog tutor.- Reference network: A genetic model for Intelligent Tutoring Systems.- Form, frequency, markedness and strategies in second language performance modelling.- Why should an ITS bother with students' explanations .- Student strategies for learning programming from a computational environment.- An intelligent language tutoring system for handling errors caused by transfer.- The application of cognitive diagnosis to the quantitative analysis of simple electrical circuits.- Student modeling and mastery learning in a computer-based programming tutor.- Application de la m¿odologie du tra¿e de mod¿ ¿n environnement d'apprentissage utilisant une strat¿e p¿gogique non directive.- Pr¿ction du niveau d'acquisition des connaissances dans la mod¿sation de l'¿diant.- Instructional planning using focus of attention.- To contradict is human.- Mise en oeuvre d'un mod¿ de l'apprenant g¿rique dans le syst¿ EDDI.- Student model diagnosis for adaptive instruction in ITS.- A systemic approach for student modelling in a multi-agent aided learning environment.- Diagnostic cognitif de l'apprenant par apprentissage symbolique.- Probabilistic student models: Bayesian Belief Networks and Knowledge Space Theory.- A framework for intelligent knowledge sequencing and task sequencing.- The use of pedagogic misrepresentation in tutorial dialogue.- Planification p¿gogique: de l'expertise humaine ¿a mod¿sation dans un STI.- COCA: A shell for intelligent tutoring systems.- Enhancing the instructional capabilities of Intelligent tutoring systems.- Measuring learning strategies and understanding: A research framework.- From testing to training: Evaluating automated diagnosis in statistics and algebra.- Detecting and reacting to the learner's motivational state.- Automated generation of examples for a tutorial in case-based argumentation.- The advantages of data flow diagrams for beginning programming.- Tools for teacher participation in ITS design.- Explanation in expert system shells: a tool for exploration and learning.- Intelligent tutoring with dumb software.- Using expert tutor knowledge to design a Self-Improving intelligent tutoring system.- Modelling expertise for educational purposes.- Distributed learning companion system: WEST revisited.- People power: A human-computer collaborative learning system.- User modeling and architecture in industrial ITSs.- CHEMPROF: ¿The chemical literacy problem¿.- The Grace Tutor: A qualified success.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications. The book not only equips readers with an understanding of multiple advanced and innovative algorithms, but also prepares them to implement systems such as those created by Google Deep Mind in actual code.This book is intended for readers who want to both understand and apply advanced concepts in a field that combines the best of two worlds - deep learning and reinforcement learning - to tap the potential of 'advanced artificial intelligence' for creating real-world applications and game-winning algorithms.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications. The book not only equips readers with an understanding of multiple advanced and innovative algorithms, but also prepares them to implement systems such as those created by Google Deep Mind in actual code.This book is intended for readers who want to both understand and apply advanced concepts in a field that combines the best of two worlds - deep learning and reinforcement learning - to tap the potential of 'advanced artificial intelligence' for creating real-world applications and game-winning algorithms.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Optimization problems were and still are the focus of mathematics from antiquity to the present. Since the beginning of our civilization, the human race has had to confront numerous technological challenges, such as finding the optimal solution of various problems including control technologies, power sources construction, applications in economy, mechanical engineering and energy distribution amongst others. These examples encompass both ancient as well as modern technologies like the first electrical energy distribution network in USA etc. Some of the key principles formulated in the middle ages were done by Johannes Kepler (Problem of the wine barrels), Johan Bernoulli (brachystochrone problem), Leonhard Euler (Calculus of Variations), Lagrange (Principle multipliers), that were formulated primarily in the ancient world and are of a geometric nature. In the beginning of the modern era, works of L.V. Kantorovich and G.B. Dantzig (so-called linear programming) can be considered amongst others. This book discusses a wide spectrum of optimization methods from classical to modern, alike heuristics. Novel as well as classical techniques is also discussed in this book, including its mutual intersection. Together with many interesting chapters, a reader will also encounter various methods used for proposed optimization approaches, such as game theory and evolutionary algorithms or modelling of evolutionary algorithm dynamics like complex networks.