R. Rajagopalan, A model for integrated qualitative spatial and dynamical reasoning about physical systems, in: Proc. AAAI-94, Seattle, WA, 1994.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....reasoning systems use abstract descriptions of shape and topology as the basis for inferring behaviors of systems. For example, the Region Connection Calculus [34] represents topological relations, such as ovev laps and is cliscoectecl fvom, while Rajagopalan s extremal point represen tation [35] supports relative orientation and position descriptions. Qualitative physical fields [36] extend Qualitative Process Theory [29] to include qual itative spario temporal processes; for example, modeling heat flow between topologically connected sunny and shaded regions and inferring the evolution ....

R. Rajagopalan, A model for integrated qualitative spatial and dynamical reasoning about physical systems, in: Proceedings of AAAI, 1994.

.... etc [62] how the processes of protrusion and resistance cause changes in a boundary based shape description language given two shapes one can infer sequences of processes which could cause one to change into the other [126] Also worthy of note is the qualitative spatial simulation work of [145] based on the QSIM system [180] 5.1.2. Qualitative Motion Inspite of a large amount of work in mereo topological theories as a basis for common sense reasoning, very little work has been done on motion in a qualitative framework. Representation of motion as in [146, 112] is in a ....

Rajagopalan, R.: \A model for integrated qualitative spatial and dynamic reasoning about physical systems", Proc. American Conf. on AI (AAAI-94), 1994, pages 1411-1417.

....of protrusion and resistance cause changes in his boundary based shape description language mentioned in section 4.3 above given two shapes he can then infer sequences of processes which could cause one to change into the other. Also worthy of note is the qualitative spatial simulation work of [103] based on the QSIM system [129] One problem is that the conceptual neighbourhood is usually built manually for each new calculus a sometimes arduous and error prone operation if there are many relations; techniques to derive these automatically would be very useful. An analysis of the ....

R Rajagopalan. A model for integrated qualitative spatial and dynamic reasoning about physical systems. In Proc. AAAI, pages 1411--1417, 1994.

....since the parsing of the picture sets up expectations for the parsing of the text. For example, the detection of an angle in the picture may set up an expectation for the value of the angle to be specified in the text. Thus, in some sense, the picture parsing guides the parsing of the text. Raj94] also discusses the co referencing task with respect to diagrammatic reasoning. The focus of the work is on integrating qualitative spatial and dynamic reasoning for physical systems. 2.3.2 Map Understanding [YTK84] illustrates the importance of a common intermediate representation in an ....

....has focused on approximating shapes of objects. AK93] presents a method for fuzzifying qualitative spatial prepositions such as near and along . The proposed method works for irregular shaped objects and uses a shape representation based on the center and elongation axes of the object. Raj94] discusses a model for integrating qualitative spatial and dynamic reasoning about physical systems; it extends current methods by allowing for effects of translational or rotational motion on the spatial state. Generalising these models sufficiently to enable their use in a natural language ....

Raman Rajagopalan. A Model for Integrated Qualitative Spatial and Dynamic Reasoning about Physical Systems. In Proceedings of AAAI-94, pages 1411--1417, 1994. Seattle, WA. 22

....in advance. 2 A Computational Model of Spatial Relations Increasingly sophisticated approaches to the computation of spatial relations have been developed in the last couple of decades (e.g. Andr e et al. 1988; Egenhofer and Herring, 1990; Mukerjee and Joe, 1990; Abella and Kender, 1993; Rajagopalan, 1994; Schirra and Stopp, 1993; Olivier et al. 1994 ] In [ Gapp, 1994a ] the CSR 3D 1 system, a model for the computation of topological and projective relations (cf. Talmy, 1983; Herskovits, 1986 ] in 2D and 3D 1 The CSR 3D system (Computation of Spatial Relations in 3D Space) is part of ....

R. Rajagopalan. A model for integrated qualitative spatial and dynamic reasoning about physical systems. In Proc. of AAAI-94, pages 1411--1417, Seattle, WA, 1994.

....spatial reasoning systems use abstract descriptions of shape and topology as the basis for inferring behaviors of systems. For example, the Region Connection Calculus [16] represents topological relations, such as overlaps and is disconnectedfrom, while Rajagopalan s extremal point representation [63] supports relative orientation and position descriptions. Qualitative physical elds [52] extend Qualitative Process Theory [27] to include qualitative spatio temporal processes; for example, modeling heat ow between topologically connected sunny and shaded regions and inferring the evolution of ....

....a bitmap, and the output is a set of connected boundary curves. SAL represents data in terms of elds and geometric objects, explicitly utilizing metric properties of the input data. This might not be appropriate for some applications. For example, many qualitative spatial reasoning systems (e.g. [16, 63]) use logic based representations for applications where only topological properties of the input data are known (e.g. object A is to the right of object B) In contrast, analogic systems (including SAL) implicitly represent these properties for manipulation on demand [14] By basing computation ....

R. Rajagopalan. A model for integrated qualitative spatial and dynamical reasoning about physical systems. In Proceedings of AAAI, 1994.

.... processing plant with several hundred variables and over a hundred model fragments (Catino 1993; Catino Ungar 1994) Rickel has solved problems of more moderate size in the domain of plant physiology (Rickel Porter 1994) Rajagopalan has constructed models for geometric and spatial reasoning (Rajagopalan 1994). Brajnik has constructed models of lakes, damns, and turbines in the domain of water supply control (Farquhar Brajnik 1994) Modeling Language The input to QPC is a domain theory and scenario specified in the QPC modeling language. A domain theory consists of a set of quantified definitions, ....

Rajagopalan, R. 1994. A model for integrated qualitative spatial and dynamic reasoning about physical systems. In Proceedings of the Twelfth National Conference on Artificial Intelligence.

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R. Rajagopalan, A model for integrated qualitative spatial and dynamical reasoning about physical systems, in: Proc. AAAI-94, Seattle, WA, 1994.

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Rajagopalan, Raman, 1994. A model for integrated qualitative spatial and dynamic reasoning in physical systems. AAAI-94, p.1411-1417

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R. Rajagopalan. A Model for Integrated Qualitative Spatial and Dynamic Reasoning about Physical Systems. In: Proc. of AAAI-94, pp. 1411--1417, Seattle, WA, 1994.

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