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Author:
Publisher:
ISBN: 9780934613132
Category : Artificial intelligence
Languages : en
Pages : 1165
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Book Description
Author:
Publisher:
ISBN: 9780934613132
Category : Artificial intelligence
Languages : en
Pages : 1165
Get Book Here
Book Description
Author: C.S. Krishnamoorthy
Publisher: CRC Press
ISBN: 1351465597
Category : Computers
Languages : en
Pages : 320
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Book Description
This book provides a comprehensive presentation of artificial intelligence (AI) methodologies and tools valuable for solving a wide spectrum of engineering problems. What's more, it offers these AI tools on an accompanying disk with easy-to-use software. Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); Design Synthesis; Design Critiquing; and Case-Based Reasoning. KBES are the most popular AI-based tools and have been successfully applied to planning, diagnosis, classification, monitoring, and design problems. Case studies are provided with problems in engineering design for better understanding of the problem-solving models using the four methodologies in an integrated software environment. Throughout the book, examples are given so that students and engineers can acquire skills in the use of AI-based methodologies for application to practical problems ranging from diagnosis to planning, design, and construction and manufacturing in various disciplines of engineering. Artificial Intelligence and Expert Systems for Engineers is a must-have reference for students, teachers, research scholars, and professionals working in the area of civil engineering design in particular and engineering design in general.
Author: American Association for Artificial Intelligence
Publisher:
ISBN: 9780934613132
Category :
Languages : en
Pages : 764
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Book Description
Author: Bozzano G Luisa
Publisher: Academic Press
ISBN: 0323139965
Category : Computers
Languages : en
Pages : 541
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Book Description
Artificial Intelligence in Engineering Design, Volume II: Models of Innovative Design, Reasoning About Physical Systems, and Reasoning About Geometry focuses on the processes, programs, techniques, and technologies involved in the employment of artificial intelligence in engineering design. The selection first takes a look at the automated reuse of design plans in BOGART and ARGO, an analogical reasoning system for solving design problems. Topics include analogy mechanisms in ARGO, analogical reasoning and learning, ARGO development environment, using VEXED to construct a design plan, and how BOGART reuses a design plan. The text then ponders on retrieval strategies in a case-based design system and case-based design, including the functions-to-structure design task in the domain of physical devices, design retrieval, proposition, and modification, and the multi-layered case representation. The publication examines mechanism comparison and classification for design; a case-based approach to the design of mechanical linkages; and studies of heuristic knowledge-based approaches for automated configuration generation and innovation. Topics include applications of stress field estimation to geometric optimization, simplification and abstraction operators, mechanism comparison and classification, linkage synthesis, analytic synthesis techniques, and system architecture. The selection is a valuable reference for readers interested in the use of artificial intelligence in engineering design.
Author: D. Sriram
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 480
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Book Description
Author: Daniel S. Weld
Publisher: Morgan Kaufmann
ISBN: 1483214478
Category : Science
Languages : en
Pages : 733
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Book Description
Readings in Qualitative Reasoning about Physical Systems describes the automated reasoning about the physical world using qualitative representations. This text is divided into nine chapters, each focusing on some aspect of qualitative physics. The first chapter deal with qualitative physics, which is concerned with representing and reasoning about the physical world. The goal of qualitative physics is to capture both the commonsense knowledge of the person on the street and the tacit knowledge underlying the quantitative knowledge used by engineers and scientists. The succeeding chapter discusses the qualitative calculus and its role in constructing an envisionment that includes behavior over both mythical time and elapsed time. These topics are followed by reviews of the mathematical aspects of qualitative reasoning, history-based simulation and temporal reasoning, as well as the intelligence in scientific computing. The final chapters are devoted to automated modeling for qualitative reasoning and causal explanations of behavior. These chapters also examine the qualitative kinematics of reasoning about shape and space. This book will prove useful to psychologists and psychiatrists.
Author: Henry Petroski
Publisher: Cambridge University Press
ISBN: 9780521466493
Category : Art
Languages : en
Pages : 228
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Book Description
Case histories of engineering success and failure are presented to enrich understanding of the design process.
Author: Shi-Yu Huang
Publisher: Springer Science & Business Media
ISBN: 940157975X
Category : Computers
Languages : en
Pages : 472
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Book Description
Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge. The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit. It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage. The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention.
Author: S.G. Tzafestas
Publisher: Springer Science & Business Media
ISBN: 9401103054
Category : Computers
Languages : en
Pages : 778
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Book Description
This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.
Author: Norman Foo
Publisher: Springer Science & Business Media
ISBN: 9783540615323
Category : Artificial intelligence
Languages : en
Pages : 694
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Book Description
This volume constitutes the refereed proceedings of the 4th Pacific Rim International Conference on Artificial Intelligence, PRICAI '96, held in Cairns, Queensland, Australia in August 1996. The 56 revised full papers included in the book were carefully selected for presentation at the conference from a total of 175 submissions. The topics covered are machine learning, interactive systems, knowledge representation, reasoning about change, neural nets and uncertainty, natural language, constraint satisfaction and optimization, qualitative reasoning, automated deduction, nonmonotonic reasoning, intelligent agents, planning, and pattern recognition.
