Qualitative Spatial Representation And Reasoning An Overview Pdf

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Qualitative Spatial Representation and Reasoning with the Region Connection Calculus

This paper surveys the work of the qualitative spatial reasoning group at the University of Leeds. The group has developed a number of logical calculi for representing and reasoning with qualitative spatial relations over regions. We motivate the use of regions as the primary spatial entity and show how a rich language can be built up from surprisingly few primitives. This language can distinguish between convex and a variety of concave shapes and there is also an extension which handles regions with uncertain boundaries. We also present a variety of reasoning techniques, both for static and dynamic situations. A number of possible application areas are briefly mentioned.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs and how to get involved. August Subjects: Artificial Intelligence cs. AI ; Robotics cs.

The ability to reason in space is crucial for agents in order to make informed decisions. Current high-level qualitative approaches to spatial reasoning have serious deficiencies in not reflecting the hierarchical nature of spatial data and human spatial cognition. This article proposes a framework for hierarchical representation and reasoning about topological information, where a continuous model of space is approximated by a collection of discrete sub-models, and spatial information is hierarchically represented in discrete sub-models in a rough set manner. The work is based on the Generalized Region Connection Calculus theory, where continuous and discrete models of space are coped in a unified way. Reasoning issues such as determining the mereological part-whole relations between two rough regions are also discussed. Moreover, we consider an important problem that is closely related to map generalization in cartography and Geographical Information Science. Given a spatial configuration at a finer level, we show how to construct a configuration at a coarser level while preserving the mereological relations.

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This paper surveys the work of the qualitative spatial reasoning group at the University of Leeds. The group has developed a number of logical calculi for representing and reasoning with qualitative spatial relations over regions. We motivate the use of regions as the primary spatial entity and show how a rich language can be built up from surprisingly few primitives. This language can distinguish between convex and a variety of concave shapes and there is also an extension which handles regions with uncertain boundaries. We also present a variety of reasoning techniques, both for static and dynamic situations. A number of possible application areas are briefly mentioned.


For one, Qualitative Spatial Reasoning seeks mathematical theories that qualitatively represent everyday interactions in physical space (Cohn.


Qualitative Spatial Representation and Reasoning: An Overview

Spatial—temporal reasoning is an area of artificial intelligence which draws from the fields of computer science , cognitive science , and cognitive psychology. The theoretic goal—on the cognitive side—involves representing and reasoning spatial-temporal knowledge in mind. The applied goal—on the computing side—involves developing high-level control systems of automata for navigating and understanding time and space.

It seems that you're in Germany. We have a dedicated site for Germany. Spatial knowledge representation and reasoning with spatial knowledge are relevant issues for many application areas such as robotics, geographical information systems, and computer vision. Exceeding purely quantitative approaches, more recently initiated qualitative approaches allow for dealing with spatial information on a more abstract level that is closer to the way humans think and speak.

Чатрукьян знал: как только Джабба узнает, что Стратмор обошел фильтры, разразится скандал. Какая разница? - подумал.  - Я должен выполнять свои обязанности.

Он это сделал.

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 Я был. Но сейчас я. ГЛАВА 69 - Эй, мистер. Беккер, шедший по залу в направлении выстроившихся в ряд платных телефонов, остановился и оглянулся. К нему приближалась девушка, с которой он столкнулся в туалетной комнате.

Вы, должно быть, много путешествуете. Голос болезненно кашлянул. - Да.


PDF | The field of Qualitative Spatial Reasoning is now an active research area in its own right within AI (and also in Geographical Information.


Сьюзан отчаянно пыталась встретиться взглядом со Стратмором. Коммандер. Северная Дакота - это Хейл.

Звонок был сделан из страны с кодом один - из Соединенных Штатов.

Даже через несколько часов после смерти лицо азиата отливало чуть розоватым загаром. Тело же его было бледно-желтого цвета - кроме крохотного красноватого кровоподтека прямо над сердцем. Скорее всего от искусственного дыхания и массажа сердца, - подумал Беккер.

Qualitative Spatial Reasoning with Topological Information

Фонтейн поднял глаза, явно удивленный этим сообщением.

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  1. Gaston P. 24.05.2021 at 07:10

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