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Representation (systemics)

About: Representation (systemics) is a research topic. Over the lifetime, 33821 publications have been published within this topic receiving 475461 citations.


Papers
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Book ChapterDOI
01 Jan 1983
TL;DR: In this article, three criteria for judging representations of shape are proposed, and the criteria are illustrated for the Generalized Cylinder representation of three-dimensional volumes and the Smoothed Local Symmetries representation of planar shapes.
Abstract: Three criteria for judging representations of shape are proposed. The criteria are illustrated for the Generalized Cylinder representation of three-dimensional volumes and the Smoothed Local Symmetries representation of planar shapes. A representation for the shape of surfaces is proposed, called Curvature Patches. It is used to extend Smoothed Local Symmetries to a novel three-dimensional representation.

146 citations

Journal ArticleDOI
TL;DR: This paper presents a meta-modelling framework for solving problem solving in AI by postulating a system of logic that allows us to deduce new statements from axioms and previously deduced statements, and some examples of this system include a simple theorem-proving program and a number of others.

146 citations

Journal ArticleDOI
TL;DR: The authors argue that the emphasis on representation places excessive limitations on our view of models and their epistemic value, and propose to view models as epistemic artifacts through which we gain knowledge in diverse ways.
Abstract: Representation has been one of the main themes in the recent discussion of models. Several authors have argued for a pragmatic approach to representation that takes users and their interpretations into account. It appears to me, however, that this emphasis on representation places excessive limitations on our view of models and their epistemic value. Models should rather be thought of as epistemic artifacts through which we gain knowledge in diverse ways. Approaching models this way stresses their materiality and media‐specificity. Focusing on models as multifunctional artifacts releases them from any preestablished and fixed representational relationships and leads me to argue for a twofold approach to representation.

145 citations

ReportDOI
TL;DR: Issues associated with Level 2 Information Fusion (Situation Assessment) including: user perception and perceptual reasoning representation, knowledge discovery process models, procedural versus logical reasoning about relationships, userfusion interaction through performance metrics, and syntactic and semantic representations are presented.
Abstract: : Situation assessment (SA) involves deriving relations among entities, e.g., the aggregation of object states (i.e., classification and location). While SA has been recognized in the information fusion and human factors literature, there still exist open questions regarding knowledge representation and reasoning methods to afford SA. For instance, while lots of data is collected over a region of interest, how does this information get presented to an attention constrained user? The information overload can deteriorate cognitive reasoning so a pragmatic solution to knowledge representation is needed for effective and efficient situation understanding. In this paper, we present issues associated with Level 2 Information Fusion (Situation Assessment) including: (1) user perception and perceptual reasoning representation, (2) knowledge discovery process models, (3) procedural versus logical reasoning about relationships, (4) userfusion interaction through performance metrics, and (5) syntactic and semantic representations. While a definitive conclusion is not the aim of the paper, many critical issues are proposed in order to characterize future successful strategies for knowledge representation, presentation, and reasoning for situation assessment.

145 citations

01 Jan 1991

144 citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202225
20211,580
20201,876
20191,935
20181,792
20171,391