Computer Science and Artificial Intelligence

Computer Science and Artificial Intelligence
Author: National Research Council,Commission on Physical Sciences, Mathematics, and Applications,Naval Studies Board,Panel on Computer Science and Artificial Intelligence
Publsiher: National Academies Press
Total Pages: 29
Release: 1997-07-10
Genre: Computers
ISBN: 9780309058315

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The focus of this report is on artificial intelligence (AI) and human-computer interface (HCI) technology. Observations, conclusions, and recommendations regarding AI and HCI are presented in terms of six grand challenge areas which serve to identify key scientific and engineering issues and opportunities. Chapter 1 presents the panel's definitions of these and related terms. Chapter 2 presents the panel's general observations and recommendations regarding AI and HCI. Finally, Chapter 3 discusses computer science, AI, and HCI in terms of the six selected "grand challenge" areas and three time horizons, that is, short term (within the next 2 years), midterm (2 to 6 years), and long term (more than 6 years from now) and presents additional recommendations in these areas.

Logic for Computer Science and Artificial Intelligence

Logic for Computer Science and Artificial Intelligence
Author: Ricardo Caferra
Publsiher: John Wiley & Sons
Total Pages: 523
Release: 2013-02-04
Genre: Technology & Engineering
ISBN: 9781118604267

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Logic and its components (propositional, first-order,non-classical) play a key role in Computer Science and ArtificialIntelligence. While a large amount of information exists scatteredthroughout various media (books, journal articles, webpages, etc.),the diffuse nature of these sources is problematic and logic as atopic benefits from a unified approach. Logic for Computer Scienceand Artificial Intelligence utilizes this format, surveying thetableaux, resolution, Davis and Putnam methods, logic programming,as well as for example unification and subsumption. Fornon-classical logics, the translation method is detailed. Logic for Computer Science and Artificial Intelligence is theclassroom-tested result of several years of teaching at GrenobleINP (Ensimag). It is conceived to allow self-instruction for abeginner with basic knowledge in Mathematics and Computer Science,but is also highly suitable for use in traditional courses. Thereader is guided by clearly motivated concepts, introductions,historical remarks, side notes concerning connections with otherdisciplines, and numerous exercises, complete with detailedsolutions, The title provides the reader with the tools needed toarrive naturally at practical implementations of the concepts andtechniques discussed, allowing for the design of algorithms tosolve problems.

Applications of Computational Science in Artificial Intelligence

Applications of Computational Science in Artificial Intelligence
Author: Anand Nayyar,Sandeep Kumar,Akshat Agrawal
Publsiher: Engineering Science Reference
Total Pages: 315
Release: 2022
Genre: Artificial intelligence
ISBN: 1799890139

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Delivers technological solutions to improve smart technologies architecture, healthcare, and environmental sustainability. The book also provides background on key aspects such as computational solutions, computation framework, smart prediction, and healthcare solutions.

Intelligent Support for Computer Science Education

Intelligent Support for Computer Science Education
Author: Barbara Di Eugenio,Davide Fossati,Nick Green
Publsiher: CRC Press
Total Pages: 306
Release: 2021-09-23
Genre: Computers
ISBN: 9781351684859

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Intelligent Support for Computer Science Education presents the authors’ research journey into the effectiveness of human tutoring, with the goal of developing educational technology that can be used to improve introductory Computer Science education at the undergraduate level. Nowadays, Computer Science education is central to the concerns of society, as attested by the penetration of information technology in all aspects of our lives; consequently, in the last few years interest in Computer Science at all levels of schooling, especially at the college level, has been flourishing. However, introductory concepts in Computer Science such as data structures and recursion are difficult for novices to grasp. Key Features: Includes a comprehensive and succinct overview of the Computer Science education landscape at all levels of education. Provides in-depth analysis of one-on-one human tutoring dialogues in introductory Computer Science at college level. Describes a scalable, plug-in based Intelligent Tutoring System architecture, portable to different topics and pedagogical strategies. Presents systematic, controlled evaluation of different versions of the system in ecologically valid settings (18 actual classes and their laboratory sessions). Provides a time-series analysis of student behavior when interacting with the system. This book will be of special interest to the Computer Science education community, specifically instructors of introductory courses at the college level, and Advanced Placement (AP) courses at the high school level. Additionally, all the authors’ work is relevant to the Educational Technology community, especially to those working in Intelligent Tutoring Systems, their interfaces, and Educational Data Mining, in particular as applied to human-human pedagogical interactions and to user interaction with educational software.

Law Computer Science and Artificial Intelligence

Law  Computer Science  and Artificial Intelligence
Author: Ajit Narayanan,Mervyn Bennun
Publsiher: Intellect Books
Total Pages: 265
Release: 1998
Genre: Computers
ISBN: 1871516595

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This text examines the interaction between the disciplines of law, computer science and artificial intelligence. The chapters are grouped into theory, implications and applications sections, in an attempt to identify separate, but interrelated methodological stances.

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence
Author: Wolfgang Ertel
Publsiher: Springer
Total Pages: 356
Release: 2018-01-18
Genre: Computers
ISBN: 9783319584874

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This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning. Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW); discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW); includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW). Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.

Algorithms Discover The Computer Science and Artificial Intelligence Used to Solve Everyday Human Problems Optimize Habits Learn Anything and Organize Your Life

Algorithms  Discover The Computer Science and Artificial Intelligence Used to Solve Everyday Human Problems  Optimize Habits  Learn Anything and Organize Your Life
Author: Trustgenics
Publsiher: Thomas William
Total Pages: 135
Release: 2019-07-22
Genre: Computers
ISBN: 9182736450XXX

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Now, you might look at this title and shy away, thinking that a book with "algorithms" in its title must be just for techies and computer scientists. However, this book is very accessible to those with no background in computer science. In fact it is a must-listen for anyone interested in what our digital future looks like. Today, many decisions that could be made by human beings, from predicting earthquakes to interpreting languages, can now be made by computer algorithms with advanced analytic capabilities. Every day we make millions of decisions, from selecting a life partner, to organizing your closet, to scheduling your life, to having a conversation. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Studies continue to show that the algorithms can do a better job than experts in a range of fields. Everywhere you look, artificial intelligence is beginning to permeate all types of industries, and expectations are that it will continue to grow in the future. Imagine the possibilities: More accurate medical diagnoses. Better military strategies that could save lives. Detect abnormal genes in an unborn child. Predict changes in weather and earthquake. Safer self-driving cars that have learned your personal preferences. Analyze DNA samples and identify potential medical risks. Smart homes that will anticipate your every needs. Predicting where cyber hackers and online threats may occur. Artificial intelligence is reshaping health care, science, engineering, and life. The results will make our lives more productive, better organized, and essentially much happier. Get started Now!

50 Years of Artificial Intelligence

50 Years of Artificial Intelligence
Author: Max Lungarella,Fumiya Iida,Josh Bongard,Rolf Pfeifer
Publsiher: Springer Science & Business Media
Total Pages: 398
Release: 2007-12-10
Genre: Computers
ISBN: 9783540772958

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This Festschrift volume, published in celebration of the 50th Anniversary of Artificial Intelligence, includes 34 refereed papers written by leading researchers in the field of Artificial Intelligence. The papers were carefully selected from the invited lectures given at the 50th Anniversary Summit of AI, held at the Centro Stefano Franscini, Monte Verità, Ascona, Switzerland, July 9-14, 2006. The summit provided a venue for discussions on a broad range of topics.

Epistemic Logic for AI and Computer Science

Epistemic Logic for AI and Computer Science
Author: J.-J. Ch. Meyer,W. van der Hoek
Publsiher: Cambridge University Press
Total Pages: 372
Release: 2004-03-25
Genre: Computers
ISBN: 0521602807

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A broad introduction to the subject; many exercises with full solutions are provided.

Logics for Computer and Data Sciences and Artificial Intelligence

Logics for Computer and Data Sciences  and Artificial Intelligence
Author: Lech T. Polkowski
Publsiher: Springer
Total Pages: 362
Release: 2021-12-18
Genre: Technology & Engineering
ISBN: 3030916790

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This volume offers the reader a systematic and throughout account of branches of logic instrumental for computer science, data science and artificial intelligence. Addressed in it are propositional, predicate, modal, epistemic, dynamic, temporal logics as well as applicable in data science many-valued logics and logics of concepts (rough logics). It offers a look into second-order logics and approximate logics of parts. The book concludes with appendices on set theory, algebraic structures, computability, complexity, MV-algebras and transition systems, automata and formal grammars. By this composition of the text, the reader obtains a self-contained exposition that can serve as the textbook on logics and relevant disciplines as well as a reference text.

The Ecology of Computation

The Ecology of Computation
Author: Bernardo A. Huberman
Publsiher: Elsevier Science Limited
Total Pages: 342
Release: 1988
Genre: Computers
ISBN: UOM:39015013028009

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Propelled by advances in software design and increasing connectivity, distributed computational systems are acquiring characteristics reminiscent of social and biological organizations. This volume is a collection of articles dealing with the nature, design and implementation of these open computational systems. Although varied in their approach and methodology, the articles are related by the goal of understanding and building computational ecologies. They are grouped in three major sections. The first deals with general issues underlying open systems, studies of computational ecologies, and their similarities with social organizations. The second part deals with actual implementations of distributed computation, and the third discusses the overriding problem of designing suitable languages for open systems. All the articles are highly interdisciplinary, emphasizing the application of ecological ideas, game theory, market mechanisms, and evolutionary biology in the study of open systems.

Artificial Intelligence Today

Artificial Intelligence Today
Author: Michael J. Wooldridge,Manuela Veloso
Publsiher: Springer Science & Business Media
Total Pages: 487
Release: 1999-08-18
Genre: Computers
ISBN: 9783540664284

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Artificial Intelligence is one of the most fascinating and unusual areas of academic study to have emerged this century. For some, AI is a true scientific discipline, that has made important and fundamental contributions to the use of computation for our understanding of nature and phenomena of the human mind; for others, AI is the black art of computer science. Artificial Intelligence Today provides a showcase for the field of AI as it stands today. The editors invited contributions both from traditional subfields of AI, such as theorem proving, as well as from subfields that have emerged more recently, such as agents, AI and the Internet, or synthetic actors. The papers themselves are a mixture of more specialized research papers and authorative survey papers. The secondary purpose of this book is to celebrate Springer-Verlag's Lecture Notes in Artificial Intelligence series.

Artificial Intelligence and Social Work

Artificial Intelligence and Social Work
Author: Milind Tambe,Eric Rice
Publsiher: Cambridge University Press
Total Pages: 280
Release: 2018-11-29
Genre: Computers
ISBN: 9781108425995

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An introductory guide with real-life examples on using AI to help homeless youth, diabetes patients, and other social welfare interventions.

Artificial Intelligence

Artificial Intelligence
Author: David L. Poole,Alan K. Mackworth
Publsiher: Cambridge University Press
Total Pages: 820
Release: 2017-09-25
Genre: Computers
ISBN: 9781107195394

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Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

Topics in Expert System Design

Topics in Expert System Design
Author: C. Tasso,G. Guida
Publsiher: Elsevier
Total Pages: 447
Release: 2014-06-28
Genre: Computers
ISBN: 9781483297774

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Expert Systems are so far the most promising achievement of artificial intelligence research. Decision making, planning, design, control, supervision and diagnosis are areas where they are showing great potential. However, the establishment of expert system technology and its actual industrial impact are still limited by the lack of a sound, general and reliable design and construction methodology. This book has a dual purpose: to offer concrete guidelines and tools to the designers of expert systems, and to promote basic and applied research on methodologies and tools. It is a coordinated collection of papers from researchers in the USA and Europe, examining important and emerging topics, methodological advances and practical experience obtained in specific applications. Each paper includes a survey introduction, and a comprehensive bibliography is provided.