Ai Algorithms Data Structures And Idioms In Prolog Lisp And Java PDF Download

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Paradigms of Artificial Intelligence Programming

Paradigms of Artificial Intelligence Programming
Author: Peter Norvig
Publisher: Morgan Kaufmann
Total Pages: 946
Release: 2014-06-28
Genre: Computers
ISBN: 0080571158

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Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.


Intelligent Systems for Engineers and Scientists

Intelligent Systems for Engineers and Scientists
Author: Adrian A. Hopgood
Publisher: CRC Press
Total Pages: 441
Release: 2016-04-19
Genre: Computers
ISBN: 1439865965

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The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intellige


Learn Data Structures and Algorithms with Golang

Learn Data Structures and Algorithms with Golang
Author: Bhagvan Kommadi
Publisher: Packt Publishing Ltd
Total Pages: 324
Release: 2019-03-30
Genre: Computers
ISBN: 178961841X

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Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional setting Key FeaturesLearn the basics of data structures and algorithms and implement them efficientlyUse data structures such as arrays, stacks, trees, lists and graphs in real-world scenariosCompare the complexity of different algorithms and data structures for improved code performanceBook Description Golang is one of the fastest growing programming languages in the software industry. Its speed, simplicity, and reliability make it the perfect choice for building robust applications. This brings the need to have a solid foundation in data structures and algorithms with Go so as to build scalable applications. Complete with hands-on tutorials, this book will guide you in using the best data structures and algorithms for problem solving. The book begins with an introduction to Go data structures and algorithms. You'll learn how to store data using linked lists, arrays, stacks, and queues. Moving ahead, you'll discover how to implement sorting and searching algorithms, followed by binary search trees. This book will also help you improve the performance of your applications by stringing data types and implementing hash structures in algorithm design. Finally, you'll be able to apply traditional data structures to solve real-world problems. By the end of the book, you'll have become adept at implementing classic data structures and algorithms in Go, propelling you to become a confident Go programmer. What you will learnImprove application performance using the most suitable data structure and algorithmExplore the wide range of classic algorithms such as recursion and hashing algorithmsWork with algorithms such as garbage collection for efficient memory management Analyze the cost and benefit trade-off to identify algorithms and data structures for problem solvingExplore techniques for writing pseudocode algorithm and ace whiteboard coding in interviewsDiscover the pitfalls in selecting data structures and algorithms by predicting their speed and efficiencyWho this book is for This book is for developers who want to understand how to select the best data structures and algorithms that will help solve coding problems. Basic Go programming experience will be an added advantage.


Artificial Intelligence

Artificial Intelligence
Author: George F. Luger
Publisher: Pearson Higher Ed
Total Pages: 779
Release: 2011-11-21
Genre: Computers
ISBN: 0133001733

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI. In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.


Knowledge Based Automated Software Engineering

Knowledge Based Automated Software Engineering
Author: Katalina Grigorova
Publisher: Cambridge Scholars Publishing
Total Pages: 175
Release: 2012-03-15
Genre: Computers
ISBN: 1443838314

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The process of developing big information systems is less effective and more resource consuming than software developers expect. The most widely disseminated software engineering methods and tools applied through the life cycle of this process are characterised with a low level of process automation, insufficient component reusability and dissatisfactory final product flexibility. The efficiency of the software development process can be improved with the application of hi-tech IT instruments as: (1) non-formal business model specifications, (2) automated verification and modification of the non-formal specifications related to predefined standardised knowledge bases both for the domain and IT areas, (3) automated generation of the final software product from the verified business model, and (4) incorporation of components set for real time monitoring and tuning within the generated software. This book presents the authors’ views on Knowledge Based Automated Software Engineering (KBASE). It involves the domain scope, the implemented research methods, tools and applications. The KBASE products presented in the book are addressed to the needs of scientists, practitioners and students working in the areas of software engineering, computer science, knowledge representation, artificial intelligence, manufacturing engineering, and education.


Knowing our World: An Artificial Intelligence Perspective

Knowing our World: An Artificial Intelligence Perspective
Author: George F. Luger
Publisher: Springer Nature
Total Pages: 267
Release: 2021-07-02
Genre: Computers
ISBN: 3030718735

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Knowing our World: An Artificial Intelligence Perspective considers the methodologies of science, computation, and artificial intelligence to explore how we humans come to understand and operate in our world. While humankind’s history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals. Based on insights afforded by the challenges of AI design and program building, Knowing our World proposes a foundation for the science of epistemology. Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support clarification of these epistemic foundations. This monograph is organized in three Parts; the first three chapters introduce the reader to the foundations of computing and the philosophical background that supports the AI tradition. These three chapters describe the origins of AI, programming as iterative refinement, and the representations and very high-level language tools that support AI application building. The book’s second Part introduces three of the four paradigms that represent research and development in AI over the past seventy years: the symbol-based, connectionist, and complex adaptive systems. Luger presents several introductory programs in each area and demonstrates their use. The final three chapters present the primary theme of the book: bringing together the rationalist, empiricist, and pragmatist philosophical traditions in the context of a Bayesian world view. Luger describes Bayes' theorem with a simple proof to demonstrate epistemic insights. He describes research in model building and refinement and several philosophical issues that constrain the future growth of AI. The book concludes with his proposal of the epistemic stance of an active, pragmatic, model-revising realism.


Knowledge-Based and Intelligent Information and Engineering Systems

Knowledge-Based and Intelligent Information and Engineering Systems
Author: Rossitza Setchi
Publisher: Springer Science & Business Media
Total Pages: 682
Release: 2010-09-02
Genre: Computers
ISBN: 3642153895

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The four-volume set LNAI 6276--6279 constitutes the refereed proceedings of the 14th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2010, held in Cardiff, UK, in September 2010. The 272 revised papers presented were carefully reviewed and selected from 360 submissions. They present the results of high-quality research on a broad range of intelligent systems topics.


Intelligent and Adaptive Educational-Learning Systems

Intelligent and Adaptive Educational-Learning Systems
Author: Alejandro Peña-Ayala
Publisher: Springer Science & Business Media
Total Pages: 522
Release: 2012-08-10
Genre: Technology & Engineering
ISBN: 3642301711

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The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research. After a rigorous revision process twenty manuscripts were accepted and organized into four parts: Modeling, Content, Virtuality and Applications. This volume is of interest to researchers, practitioners, professors and postgraduate students aimed to update their knowledge and find out targets for future work in the field of artificial intelligence on education.


Evolutionary Psychology and Information Systems Research

Evolutionary Psychology and Information Systems Research
Author: Ned Kock
Publisher: Springer Science & Business Media
Total Pages: 391
Release: 2010-07-28
Genre: Computers
ISBN: 1441961399

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This book is a compilation of chapters written by leading researchers from all over the world. Those researchers’ common characteristic is that they have investigated issues at the intersection of the elds of information systems (IS) and evoluti- ary psychology (EP). The main goal of this book is to serve as a reference for IS research building on EP concepts and theories (in short, IS-EP research). The book is organized in three main parts: Part I focuses on EP concepts and theories that can be used as a basis for IS-EP research; Part II provides several exemplars of IS-EP research in practice; and Part III summarizes emerging issues and debate that can inform IS-EP research, including debate regarding philosophical foundations and credibility of related ndings. IS-EP research is generally concerned with the use of concepts and theories from EP in the study of IS, particularly regarding the impact of modern information and communication technologies on the behavior of individuals, groups, and organi- tions. From a practitioners’ perspective, the most immediate consumers of IS-EP research are those who develop and use IS, of which a large contingent are in bu- nesses that employ IS to support marketing, order-taking, production, and delivery of goods and services. In this context, IS-EP ndings may be particularly useful due to the present need to design web-based interfaces that will be used by in- viduals from different cultures, and often different countries, and whose common denominator is their human nature.