Fundamentals of the Theory of Planning the Search for Space Objects

Fundamentals of the Theory of Planning the Search for Space Objects PDF

Author: Stanislav S. Veniaminov

Publisher: Cambridge Scholars Publishing

Published: 2020-02-24

Total Pages: 202

ISBN-13: 152754754X

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This book develops an original theory of the search for space objects, on which only crude orbital information is known. It uses a special principle to construct a plan for searching for such objects through optical or radar sensors. This principle maximally eliminates the loss of the sought-for object and provides an economical use of the resources used in the search. This book will be of great interest for astronomers-observers, space control services, space researchers, and students at technical universities.

Planning Algorithms

Planning Algorithms PDF

Author: Steven Michael LaValle

Publisher:

Published: 2006

Total Pages: 826

ISBN-13: 9780511241338

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Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that integrates literature from several fields into a coherent source for teaching and reference in applications including robotics, computational biology, computer graphics, manufacturing, aerospace applications, and medicine.

Foundations of the Planning Enterprise

Foundations of the Planning Enterprise PDF

Author: Patsy Healey

Publisher: Routledge

Published: 2017-03-02

Total Pages: 579

ISBN-13: 1351936042

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Planning Theory has a history of common debates about ideas and practices and is rooted in a critical concern for the 'improvement' of human and environmental well-being, particularly as pursued through interventions which seek to shape environmental conditions and place qualities.. The first volume in this three volume series, Foundations of the Planning Enterprise, includes articles and papers which offer a unique general introduction to planning theory. The authors review the subject's development, its recurrent themes, its contemporary preoccupation as rational scientific management and its relations to other fields. The editors supplement the collection with an introductory overview as well as detailed introductions to each part. This will be an essential purchase for planning libraries around the world.

Foundations of Knowledge Acquisition

Foundations of Knowledge Acquisition PDF

Author: Alan L. Meyrowitz

Publisher: Springer Science & Business Media

Published: 2007-08-19

Total Pages: 341

ISBN-13: 0585273669

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One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact of successful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain about the methods by which machines and humans might learn, significant progress has been made.

Foundations of Knowledge Acquisition

Foundations of Knowledge Acquisition PDF

Author: Susan Chipman

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 347

ISBN-13: 1461531721

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One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact ofsuccessful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain aboutthe methods by which machines and humans might learn, significant progress has been made.

Basics of Robotics

Basics of Robotics PDF

Author: Adam Morecki

Publisher: Springer

Published: 2014-05-04

Total Pages: 589

ISBN-13: 3709125324

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This volume contains the basic concepts of modern robotics, basic definitions, systematics of robots in industry, service, medicine and underwater activity. Important information on walking and mili-walking machines are included as well as possible applications of microrobots in medicine, agriculture, underwater activity.

Algorithmic Foundations of Robotics XIII

Algorithmic Foundations of Robotics XIII PDF

Author: Marco Morales

Publisher: Springer Nature

Published: 2020-05-07

Total Pages: 959

ISBN-13: 3030440516

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This book gathers the outcomes of the thirteenth Workshop on the Algorithmic Foundations of Robotics (WAFR), the premier event for showcasing cutting-edge research on algorithmic robotics. The latest WAFR, held at Universidad Politécnica de Yucatán in Mérida, México on December 9–11, 2018, continued this tradition. This book contains fifty-four papers presented at WAFR, which highlight the latest research on fundamental algorithmic robotics (e.g., planning, learning, navigation, control, manipulation, optimality, completeness, and complexity) demonstrated through several applications involving multi-robot systems, perception, and contact manipulation. Addressing a diverse range of topics in papers prepared by expert contributors, the book reflects the state of the art and outlines future directions in the field of algorithmic robotics.

Spatial Information Theory. Cognitive and Computational Foundations of Geographic Information Science

Spatial Information Theory. Cognitive and Computational Foundations of Geographic Information Science PDF

Author: Christian Freksa

Publisher: Springer

Published: 2003-07-31

Total Pages: 484

ISBN-13: 3540483845

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The Conference on Spatial Information Theory – COSIT – grew out of a series of workshops / NATO Advanced Study Institutes / NSF specialist meetings concerned with cognitive and applied aspects of representing large-scale space, particularly geographic space. In these meetings, the need for a well-founded theory of spatial information processing was identified. The COSIT conference series was established in 1993 as a biennial interdisciplinary European conference on the representation and processing of information about large-scale space, after a successful international conference on the topic had been organized by Andrew Frank et al. in Pisa, Italy, in 1992 (frequently referred to as ‘COSIT zero’). After two successful European conferences with strong North-American participation (COSIT ’93, held on the Island of Elba, Italy; COSIT ’95, held in Semmering, Austria), the conference became a truly international enterprise when COSIT ’97 was held in the Laurel Highlands, Pennsylvania, USA. COSIT ’99 will take place in Stade, Germany. All aspects of large-scale space, i. e. spaces too large to be seen from a single vantage point, are addressed in the COSIT conferences. These include spaces of geographic scale, as well as smaller spaces in which humans, animals, or autonomous robots have to find their way around. Spatial information theory also deals with the description of objects, processes, or events in spatial environments and it forms the foundation for the construction of Geographic Information Systems (GIS) and for spatial information and communication system design in general.

A Computational Perspective on Visual Attention

A Computational Perspective on Visual Attention PDF

Author: John K. Tsotsos

Publisher: MIT Press

Published: 2021-06-22

Total Pages: 333

ISBN-13: 026254380X

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The derivation, exposition, and justification of the Selective Tuning model of vision and attention. Although William James declared in 1890, "Everyone knows what attention is," today there are many different and sometimes opposing views on the subject. This fragmented theoretical landscape may be because most of the theories and models of attention offer explanations in natural language or in a pictorial manner rather than providing a quantitative and unambiguous statement of the theory. They focus on the manifestations of attention instead of its rationale. In this book, John Tsotsos develops a formal model of visual attention with the goal of providing a theoretical explanation for why humans (and animals) must have the capacity to attend. He takes a unique approach to the theory, using the full breadth of the language of computation—rather than simply the language of mathematics—as the formal means of description. The result, the Selective Tuning model of vision and attention, explains attentive behavior in humans and provides a foundation for building computer systems that see with human-like characteristics. The overarching conclusion is that human vision is based on a general purpose processor that can be dynamically tuned to the task and the scene viewed on a moment-by-moment basis. Tsotsos offers a comprehensive, up-to-date overview of attention theories and models and a full description of the Selective Tuning model, confining the formal elements to two chapters and two appendixes. The text is accompanied by more than 100 illustrations in black and white and color; additional color illustrations and movies are available on the book's Web site.