Search results for: the-art-of-prolog

The Art of Prolog

Author : Leon Sterling
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This second edition contains revised chapters taking into account recent research advances. More advanced exercises have been included, and "Part II The Prolog Language" has been modified to be compatible with the new Prolog standard. This is a graduate level text that can be used for self-study.

The Practice of Prolog

Author : Leon Sterling
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Addressed to readers at different levels of programming expertise, The Practice of Prolog offers a departure from current books that focus on small programming examples requiring additional instruction in order to extend them to full programming projects. It shows how to design and organize moderate to large Prolog programs, providing a collection of eight programming projects, each with a particular application, and illustrating how a Prolog program was written to solve the application. These range from a simple learning program to designing a database for molecular biology to natural language generation from plans and stream data analysis. Leon Sterling is Associate Professor in the Department of Computer Engineering and Science at Case Western Reserve University. He is the coauthor, along with Ehud Shapiro, of The Art of Prolog. Contents: A Simple Learning Program, Richard O'Keefe. Designing a Prolog Database for Molecular Biology, Ewing Lusk, Robert Olson, Ross Overbeek, Steve Tuecke. Parallelizing a Pascal Compiler, Eran Gabber. PREDITOR: A Prolog-Based VLSI Editor, Peter B. Reintjes. Assisting Register Transfer Level Hardware Design, Paul Drongowski. Design and Implementation of a Partial Evaluation System, Arun Lakhotia, Leon Sterling. Natural Language Generation from Plans, Chris Mellish. Stream Data Analysis in Prolog, Stott Parker.

The Art and Craft of Modelling in Applied Biology

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Computational Business Analytics

Author : Subrata Das
File Size : 83.46 MB
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Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies. The book first covers core descriptive and inferential statistics for analytics. The author then enhances numerical statistical techniques with symbolic artificial intelligence (AI) and machine learning (ML) techniques for richer predictive and prescriptive analytics. With a special emphasis on methods that handle time and textual data, the text: Enriches principal component and factor analyses with subspace methods, such as latent semantic analyses Combines regression analyses with probabilistic graphical modeling, such as Bayesian networks Extends autoregression and survival analysis techniques with the Kalman filter, hidden Markov models, and dynamic Bayesian networks Embeds decision trees within influence diagrams Augments nearest-neighbor and k-means clustering techniques with support vector machines and neural networks These approaches are not replacements of traditional statistics-based analytics; rather, in most cases, a generalized technique can be reduced to the underlying traditional base technique under very restrictive conditions. The book shows how these enriched techniques offer efficient solutions in areas, including customer segmentation, churn prediction, credit risk assessment, fraud detection, and advertising campaigns.

Informatics Curricula and Teaching Methods

Author : Lillian Cassel
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Several aspects of informatics curricula and teaching methods at the university level are reported in this volume, including: *Challenges in defining an international curriculum; *The diversity in informatics curricula; *Computing programs for scientists and engineers; *Patterns of curriculum design; *Student interaction; *Teaching of programming; *Peer review in education. This book contains a selection of the papers presented at the Working Conference on Informatics Curricula, Teaching Methods and Best Practice (ICTEM 2002), which was sponsored by the International Federation for Information Processing (IFIP) Working Group 3.2, and held in Florianópolis, Brazil in July 2002. The working groups were organized in three parallel tracks. Working Group 1 discussed the "Directions and Challenges in Informatics Education". The focus of Working Group 2 was "Teaching Programming and Problem Solving". Working Group 3 discussed "Computing: The Shape of an Evolving Discipline."

Journal of the Indian Institute of Science

Author : Indian Institute of Science, Bangalore
File Size : 82.88 MB
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AI Expert

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File Size : 63.17 MB
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VLSI Prolog Processor Design and Methodology

Author : Pierluigi Civera
File Size : 71.37 MB
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In the last decade, Artificial Intelligence (AI) processing has received increasing attention, involving a wide spectrum of scientific and technological areas. Two main high-level languages have emerged as the most broadly used for AI applications: Prolog among the logic languages and Lisp among the functional languages. Both have created a demand for research on dedicated architectures able to support high performance non-numerical processing. VLSI microelectronics technology has played, and continues to play, a vital role in the developments, since it offers the possibility of concentrating a tremendous computation capability in compact, low cost, fast devices. This book describes the design of a VLSI Prolog processor, starting from the language execution model down to the abstract machine and the physical implementation. Each design stage is analyzed by performing quantitative evaluations of the influence of the architectural choices on the overall performance. Moreover, the state of the art on Prolog machines is described as reference for the adopted solutions. Special care has been taken in the description of the execution model, derived from the Warren Abstract Machine, and in the analysis of the design methodology developed for this application. If silicon compilation techniques are used, the design methodology becomes a general method for the synthesis of High Level Language processors. In this environment all the problems related to the VLSI implementation are analyzed and discussed in terms of costs and performance.

Byte

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File Size : 84.72 MB
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Advanced Prolog

Author : Peter Ross
File Size : 21.12 MB
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Prolog and Natural Language Analysis

Author : Fernando C. N. Pereira
File Size : 83.19 MB
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PC Tech Journal

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File Size : 65.69 MB
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Prolog

Author : Peter A. Leadbetter
File Size : 89.7 MB
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Prolog

Author : Anthony Dodd
File Size : 80.44 MB
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Application Programming in Quintus Prolog

Author : Robert Lucas
File Size : 21.6 MB
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Logic with Prolog

Author : Peter Gibbins
File Size : 59.91 MB
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This book is an introduction to the essential ideas of formal logic and to the new field of logic programming, which is beginning to have an impact on the traditional area of conventional software engineering. Logical concepts and how they may be implemented in the logic programming language Prolog are emphasized. The authors discuss parsers, pretty-printers, programming language interpreters, interactive proof-checkers, theorem-provers of various kinds, and implements versions of Prolog. The early part of the book deals with Prolog as a programming language, and how it can be used. The core of the book deals with the propositional and predicate calculi, which are treated conventionally, via natural deduction systems. The theory behind automatic theorem-proving is sketched. The last two chapters examine the logic of a specified small programming imperative language and the restricted logic of real Prolog. Philosophical questions are also considered.

An Introduction to Logic Programming Through Prolog

Author : J. M. Spivey
File Size : 88.73 MB
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Logic programming has increasing significance in computer science beyond the current fashion for expert systems. This book takes a software engineering rather than an expert systems/AI approach and covers logical theory, practical programming and PROLOG im

Artificial Intelligence Techniques in Prolog

Author : Yoav Shoham
File Size : 53.46 MB
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This unique book is a broad, clear presentation of artificial intelligence (AI) problem-solving techniques. It selects the most important among the well-defined algorithms and procedures in the field, explains them in plain language, and, where appropriate, provides ALGOL-like descriptions of them. Every technique is implemented in Prolog, a language that is quickly learned and allows for easy experimentation in a learning environment. The book includes complete source listings, and the software is available online. This book is ideal for hands-on courses in AI programming. It is also a useful primary or supplementary text in general introductory AI courses and a complete sourcebook for the practitioner.

Computer Language

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File Size : 52.69 MB
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Advanced techniques in Turbo Prolog

Author :
File Size : 45.63 MB
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