Introduction to Logic Programming, Genesereth Michael, Chaudhri Vinay K.
Автор: Miroslav Kubat Название: An Introduction to Machine Learning ISBN: 3319348868 ISBN-13(EAN): 9783319348865 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications.
Автор: Michael Genesereth, Vinay K. Chaudhri Название: Introduction to Logic Programming ISBN: 1681737248 ISBN-13(EAN): 9781681737249 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 95170.00 T Наличие на складе: Нет в наличии. Описание: Takes an innovative, model-theoretic approach to logic programming. The authors begin with the fundamental notion of datasets, i.e., sets of ground atoms. They then introduce actions, i.e., additions and deletions of ground atoms; and define dynamic logic programs as sets of action definitions.
Автор: Jagdeep Kaur; Amit Kumar Название: An Introduction to Fuzzy Linear Programming Problems ISBN: 3319312731 ISBN-13(EAN): 9783319312736 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The main focus is on showing current methods for finding the fuzzy optimal solution of fully fuzzy linear programming problems in which all the parameters and decision variables are represented by non-negative fuzzy numbers.
Автор: Haslum Patrik, Lipovetzky Nir, Magazzeni Daniele Название: An Introduction to the Planning Domain Definition Language ISBN: 1627058753 ISBN-13(EAN): 9781627058759 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 72070.00 T Наличие на складе: Нет в наличии. Описание: Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given situation. AI planning is model-based: a planning system takes as input a description (or model) of the initial situation, the actions available to change it, and the goal condition to output a plan composed of those actions that will accomplish the goal when executed from the initial situation. The Planning Domain Definition Language (PDDL) is a formal knowledge representation language designed to express planning models. Developed by the planning research community as a means of facilitating systems comparison, it has become a de-facto standard input language of many planning systems, although it is not the only modelling language for planning. Several variants of PDDL have emerged that capture planning problems of different natures and complexities, with a focus on deterministic problems. The purpose of this book is two-fold. First, we present a unified and current account of PDDL, covering the subsets of PDDL that express discrete, numeric, temporal, and hybrid planning. Second, we want to introduce readers to the art of modelling planning problems in this language, through educational examples that demonstrate how PDDL is used to model realistic planning problems. The book is intended for advanced students and researchers in AI who want to dive into the mechanics of AI planning, as well as those who want to be able to use AI planning systems without an in-depth explanation of the algorithms and implementation techniques they use.
Автор: Patrik Haslum, Nir Lipovetzky, Daniele Magazzeni, Christian Muise Название: An Introduction to the Planning Domain Definition Language ISBN: 1681735121 ISBN-13(EAN): 9781681735122 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 93330.00 T Наличие на складе: Нет в наличии. Описание: Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given situation. AI planning is model-based: a planning system takes as input a description (or model) of the initial situation, the actions available to change it, and the goal condition to output a plan composed of those actions that will accomplish the goal when executed from the initial situation. The Planning Domain Definition Language (PDDL) is a formal knowledge representation language designed to express planning models. Developed by the planning research community as a means of facilitating systems comparison, it has become a de-facto standard input language of many planning systems, although it is not the only modelling language for planning. Several variants of PDDL have emerged that capture planning problems of different natures and complexities, with a focus on deterministic problems. The purpose of this book is two-fold. First, we present a unified and current account of PDDL, covering the subsets of PDDL that express discrete, numeric, temporal, and hybrid planning. Second, we want to introduce readers to the art of modelling planning problems in this language, through educational examples that demonstrate how PDDL is used to model realistic planning problems. The book is intended for advanced students and researchers in AI who want to dive into the mechanics of AI planning, as well as those who want to be able to use AI planning systems without an in-depth explanation of the algorithms and implementation techniques they use.
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Python is a powerful programming language that can be used for the development of various types of applications. It is an Object-Oriented Programming language and it is interpreted rather than being compiled.
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Do you Want to learn more about Python Programming, Machine Learning and Artificial Intelligence ?.... then read on.
Python is a powerful programming language that can be used for the development of various types of applications. It is an Object-Oriented Programming language and it is interpreted rather than being compiled.
Python is considered to be among the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also some of the major attractions for this language. Programmers are now developing a wide range of mobile as well as web applications that we enjoy on an everyday basis.
Python Programming Crash Course doesn't make any assumptions about your background or knowledge of Python or computer programming. You need no prior knowledge to benefit from this book. You will be guided step by step using a logical and systematic approach. As new concepts, commands, or jargon are encountered they are explained in plain language, making it easy for anyone to understand.
In this Book you will learning:
Introduction ito iPython
Variables
Operators
Loops
Functions
Object-Oriented iProgramming-OOP
Modules
File ihandling
Would you like to know more?
Download the Book, Python Programming Crash Course .Scroll to the top of the page and click the "Buy now" button to get your copy now.
Автор: Kaur Jagdeep, Kumar Amit Название: An Introduction to Fuzzy Linear Programming Problems: Theory, Methods and Applications ISBN: 3319810030 ISBN-13(EAN): 9783319810034 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The main focus is on showing current methods for finding the fuzzy optimal solution of fully fuzzy linear programming problems in which all the parameters and decision variables are represented by non-negative fuzzy numbers.
Автор: J.-J. Ch. Meyer, W. van der Hoek Название: Epistemic Logic for AI and Computer Science ISBN: 0521602807 ISBN-13(EAN): 9780521602808 Издательство: Cambridge Academ Рейтинг: Цена: 61240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book, based on courses taught at universities and summer schools, provides a broad introduction to the subject; many exercises are included with their solutions.
Автор: Buckland Mat Название: Programming Game AI by Example ISBN: 1556220782 ISBN-13(EAN): 9781556220784 Издательство: Jones & Bartlett Рейтинг: Цена: 54900.00 T Наличие на складе: Невозможна поставка. Описание: With the recent success of such games as Microsoft`s Halo, artificial intelligence has taken a bigger role in the gaming industry and a few books have emerged with an academic, theoretical approach to the topic.
Автор: Barfoot Timothy D Название: State Estimation for Robotics ISBN: 1107159393 ISBN-13(EAN): 9781107159396 Издательство: Cambridge Academ Рейтинг: Цена: 95030.00 T Наличие на складе: Невозможна поставка. Описание: This book is intended for students and practitioners of robotics who are interested in using noisy sensor data to estimate the position, orientation, and other state variables of robots as they move through the three-dimensional world. It covers classical and modern techniques commonly used in robotics today.
Автор: Mendel Jerry Название: Introduction to Type-2 Fuzzy Logic Control ISBN: 1118278399 ISBN-13(EAN): 9781118278390 Издательство: Wiley Рейтинг: Цена: 118220.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Written by world-class leaders in type-2 fuzzy logic control, this book offers a self-contained reference for both researchers and students. The coverage provides both background and an extensive literature survey on fuzzy logic and related type-2 fuzzy control.
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