Qualitative Kinematics of Linkages
Qualitative Kinematics of Linkages

Author: Hyun-Kyung Kim

Publisher:

Published: 1990

Total Pages: 46

ISBN-13:

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An important aspect of qualitative spatial reasoning is understanding mechanisms. This paper presents a qualitative analysis of motion for mechanical linkages. In particular, we describe how to analyze the behavior of a mechanism which has a movable axis. The basic idea of our approach is to represent relative motions of the link in terms of quadrants (qualitatively representing the direction relative to a global reference frame) and relative inclinations relative to the x-axis. Using this representation ; we can derive all the possible motions of a system of linkages. This idea has been implemented and tested on several examples.

Recent Advances in Qualitative Physics
Recent Advances in Qualitative Physics

Author: Boi Faltings

Publisher: MIT Press

Published: 1992

Total Pages: 484

ISBN-13: 9780262061421

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These twenty-eight contributions report advances in one of the most active research areas in artificial intellgence. Qualitative modeling techniques are an essential part of building second generation knowledge-based systems. This book provides a timely overview of the field while also giving some indications about applications that appear to be feasible now or in the near future. Chapters are organized into sections covering modeling and simulation, ontologies, computational issues, and qualitative analysis. Modeling a physical system in order to simulate it or solve particular problems regarding the system is an important motivation of qualitative physics, involving formal procedures and concepts. The chapters in the section on modeling address the problem of how to set up and structure qualitative models, particularly for use in simulation. Ontology, or the science of being, is the basis for all modeling. Accordingly, chapters on ontologies discuss problems fundamental for finding representational formalism and inference mechanisms appropriate for different aspects of reasoning about physical systems. Computational issues arising from attempts to turn qualitative theories into practical software are then taken up. In addition to simulation and modeling, qualitative physics can be used to solve particular problems dealing with physical systems, and the concluding chapters present techniques for tasks ranging from the analysis of behavior to conceptual design.

Kinematics of Mechanical Systems
Kinematics of Mechanical Systems

Author: Jorge Angeles

Publisher: Springer Nature

Published: 2022-11-04

Total Pages: 343

ISBN-13: 3031095448

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This book is aimed to provide comprehensive and systematic knowledge of kinematic synthesis as developed up to date. Modern mechanical systems require advance kinematics knowledge to support mechanism design with sound theories and methods. The book includes not only the classical foundations of kinematic synthesis, but also the latest advances developed by the authors. Moreover, many examples are included to illustrate both methods and their supporting theory. The focus is on systems of rigid bodies forming closed loops. The four-bar linkage, representing the foundations of mechanical systems, is given due attention, in its three domains: planar, spherical, and spatial. The book contains six chapters, the first two covering fundamentals for kinematic synthesis, including qualitative synthesis. Chapters 3–5 describe, in full detail, the function, motion, and path syntheses of single-dof linkages. In the last chapter, the synthesis of single-dof complex linkages, including six-bar and ten-bar linkages, is introduced. The book is suitable for graduate students of mechanical engineering, researchers of mechanism and robot design, and machine design engineers.

Knowledge-Based Systems, Four-Volume Set
Knowledge-Based Systems, Four-Volume Set

Author: Cornelius T. Leondes

Publisher: Elsevier

Published: 2000-07-11

Total Pages: 1554

ISBN-13: 0080535283

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The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for reliable electric power system operation. In medicine they support complex diagnoses, while in business they inform the process of strategic planning. Programmed securities trading and the defeat of chess champion Kasparov by IBM's Big Blue are two familiar examples of dedicated knowledge bases in combination with an expert system for decision-making.With volumes covering "Implementation," "Optimization," "Computer Techniques," and "Systems and Applications," this comprehensive set constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.

STAIRS 2004
STAIRS 2004

Author: Eva Onaindia

Publisher: IOS Press

Published: 2004

Total Pages: 284

ISBN-13: 9781586034511

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This book presents some of the best ideas that are currently developed in doctoral theses in the area of Artificial Intelligence from all over Europe and beyond. It will provide the reader with papers about the newest formal and practical approaches written by the emerging intelligentsia in Artificial Intelligence. STAIRS-2004 reaches out to the best young researchers worldwide who present their solutions to advance AI and to bridge between its different subdisciplines, such as Multi-agent Systems, Natural Language Processing, Machine Learning, Uncertainty Management, Constraint Programming, and Intelligent User Interfaces. The topics of the papers cover a broad range in Artificial Intelligence including areas such as Knowledge Representation and Reasoning, Machine Learning, Web Mining, Search, Agents, Robotics and Information Extraction.

Handbook of Knowledge Representation
Handbook of Knowledge Representation

Author: Frank van Harmelen

Publisher: Elsevier

Published: 2008-01-08

Total Pages: 1035

ISBN-13: 0080557023

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Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily

Spatial Reasoning and Planning
Spatial Reasoning and Planning

Author: Jiming Liu

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 187

ISBN-13: 3642188796

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Spatial reasoning and planning is a core constituent in robotics, graphics, computer-aided design, and geographic information systems. After a review of previous work in the related areas, Liu and Daneshmend present a unified framework for qualitative spatial representation and reasoning. This paves the way for a generation of solutions to spatial problems where the geometric knowledge is imprecise. Many graphical illustrations and detailed algorithm descriptions help the reader to comprehend the solution paths and to develop their own applications. The book is written as a self-contained text for researchers and graduate students. The methodologies, algorithmic details, and case studies presented can be used as course material as well as a convenient reference.

Artificial Intelligence and Symbolic Mathematical Computing
Artificial Intelligence and Symbolic Mathematical Computing

Author: Jacques Calmet

Publisher: Springer Science & Business Media

Published: 1993-10-05

Total Pages: 324

ISBN-13: 9783540573227

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This volume contains the papers, updated in some cases, presented at the first AISMC (Artificial Intelligence and Symbolic Mathematical Computations)conference, held in Karlsruhe, August 3-6, 1992. This was the first conference to be devoted to such a topic after a long period when SMC made no appearance in AI conferences, though it used to be welcome in the early days of AI. Some conferences were held recently on mathematics and AI, but none was directly comparable in scope to this conference. Because of the novelty of the domain, authors were given longer allocations of time than usual in which to present their work. As a result, extended and fruitful discussions followed each paper. The introductory chapter in this book, which was not presented during the conference, reflects in many ways the flavor of these discussions and aims to set out the framework for future activities in this domain of research. In addition to the introduction, the volume contains 20 papers.

The Configuration Space Method for Kinematic Design of Mechanisms
The Configuration Space Method for Kinematic Design of Mechanisms

Author: Elisha Sacks

Publisher: MIT Press

Published: 2010

Total Pages: 213

ISBN-13: 0262013894

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A novel algorithmic approach to mechanism design based on a geometric representation of kinematic function called configuration space partitions. This book presents the configuration space method for computer-aided design of mechanisms with changing part contacts. Configuration space is a complete and compact geometric representation of part motions and part interactions that supports the core mechanism design tasks of analysis, synthesis, and tolerancing. It is the first general algorithmic treatment of the kinematics of higher pairs with changing contacts. It will help designers detect and correct design flaws and unexpected kinematic behaviors, as demonstrated in the book's four case studies taken from industry. After presenting the configuration space framework and algorithms for mechanism kinematics, the authors describe algorithms for kinematic analysis, tolerancing, and synthesis based on configuration spaces. The case studies follow, illustrating the application of the configuration space method to the analysis and design of automotive, micro-mechanical, and optical mechanisms. Appendixes offer a catalog of higher-pair mechanisms and a description of HIPAIR, an open source C++ mechanical design system that implements some of the configuration space methods described in the book, including configuration space visualization and kinematic simulation. HIPAIR comes with an interactive graphical user interface and many sample mechanism input files. The Configuration Space Method for Kinematic Design of Mechanisms will be a valuable resource for students, researchers, and engineers in mechanical engineering, computer science, and robotics.