Know When to Hold Em, Know When to Fold Em: WMC and Spatial Reasoning

2014 ◽  
Author(s):  
Allison J. Jaeger ◽  
Andrew F. Jarosz ◽  
Jennifer Wiley
Keyword(s):  
Spatial Reasoning

Operators and directions: Processing similarities in arithmetic and spatial reasoning

1997 ◽  
Author(s):  
Richard A. Carlson ◽  
Myeong-Ho Sohn
Keyword(s):  
Spatial Reasoning

Spatial reasoning and learning in virtual reality

2001 ◽  
Author(s):  
John R. Rani ◽  
Thomas E. Dawson ◽  
Julia H. Chariker
Keyword(s):  
Virtual Reality ◽  
Spatial Reasoning

Evidence Accumulation for Spatial Reasoning.

1984 ◽  
Author(s):  
T. Matsuyama ◽  
V. S. S. Hwang ◽  
L. S. Davis
Keyword(s):  
Spatial Reasoning ◽  
Evidence Accumulation

THE IMPORTANCE OF SPATIAL REASONING SKILLS IN UNDERGRADUATE GEOLOGY STUDENTS AND THE EFFECT OF WEEKLY SPATIAL SKILL TRAININGS – WITH A SPECIFIC FOCUS ON THE GENDER GAP

2016 ◽  
Author(s):  
Anne U. Gold ◽  
◽  
Philip Pendergast ◽  
Carol J. Ormand ◽  
David Budd ◽  
...  
Keyword(s):  
Gender Gap ◽  
Spatial Reasoning ◽  
Spatial Skill ◽  
Specific Focus ◽  
Reasoning Skills

scholarly journals Modeling Imprecise and Bipolar Algebraic and Topological Relations using Morphological Dilations

2021 ◽  
Vol 5 (1) ◽  
pp. 1-20
Author(s):  
Isabelle Bloch
Keyword(s):  
Information Processing ◽  
Fuzzy Sets ◽  
Mathematical Morphology ◽  
Complete Lattice ◽  
Spatial Reasoning ◽  
Topological Relations ◽  
Preference Modeling ◽  
Logical Sense ◽  
Bipolar Fuzzy Sets ◽  
Core Features

Abstract In many domains of information processing, such as knowledge representation, preference modeling, argumentation, multi-criteria decision analysis, spatial reasoning, both vagueness, or imprecision, and bipolarity, encompassing positive and negative parts of information, are core features of the information to be modeled and processed. This led to the development of the concept of bipolar fuzzy sets, and of associated models and tools, such as fusion and aggregation, similarity and distances, mathematical morphology. Here we propose to extend these tools by defining algebraic and topological relations between bipolar fuzzy sets, including intersection, inclusion, adjacency and RCC relations widely used in mereotopology, based on bipolar connectives (in a logical sense) and on mathematical morphology operators. These definitions are shown to have the desired properties and to be consistent with existing definitions on sets and fuzzy sets, while providing an additional bipolar feature. The proposed relations can be used for instance for preference modeling or spatial reasoning. They apply more generally to any type of functions taking values in a poset or a complete lattice, such as L-fuzzy sets.

scholarly journals Arithmetic Word Problems Revisited: Cognitive Processes and Academic Performance in Secondary School

2021 ◽  
Vol 11 (4) ◽  
pp. 155
Author(s):  
Gonzalo Duque de Blas ◽  
Isabel Gómez-Veiga ◽  
Juan A. García-Madruga
Keyword(s):  
Academic Performance ◽  
Word Problems ◽  
Spatial Reasoning ◽  
Deductive Reasoning ◽  
Executive Processes ◽  
Mathematical Operation ◽  
Visual Spatial ◽  
And Mathematics ◽  
The One ◽  
Memory Resources

Solving arithmetic word problems is a complex task that requires individuals to activate their working memory resources, as well as the correct performance of the underlying executive processes involved in order to inhibit semantic biases or superficial responses caused by the problem’s statement. This paper describes a study carried out with 135 students of Secondary Obligatory Education, each of whom solved 5 verbal arithmetic problems: 2 consistent problems, whose mathematical operation (add/subtract) and the verbal statement of the problem coincide, and 3 inconsistent problems, whose required operation is the inverse of the one suggested by the verbal term(s). Measures of reading comprehension, visual–spatial reasoning and deductive reasoning were also obtained. The results show the relationship between arithmetic problems and cognitive measures, as well as the ability of these problems to predict academic performance. Regression analyses confirmed that arithmetic word problems were the only measure with significant power of association with academic achievement in both History/Geography (β = 0.25) and Mathematics (β = 0.23).

There is no way! Ternary qualitative spatial reasoning for error detection in map data

2021 ◽  
Author(s):  
Ivan Majic ◽  
Elham Naghizade ◽  
Stephan Winter ◽  
Martin Tomko
Keyword(s):  
Error Detection ◽  
Spatial Reasoning ◽  
Qualitative Spatial Reasoning ◽  
Map Data

scholarly journals Co-attention Spatial Reasoning for Visual Question Answering

2021 ◽  
Vol 1828 (1) ◽  
pp. 012145
Author(s):  
Ye Qin ◽  
Zhiping Zhou ◽  
Chen Biao ◽  
Li Wenjie
Keyword(s):  
Question Answering ◽  
Spatial Reasoning ◽  
Visual Question Answering

Malleability of Spatial Reasoning With Short-Term and Long-Term Robotics Interventions

2021 ◽  
Author(s):  
K. Francis ◽  
S. Rothschuh ◽  
D. Poscente ◽  
B. Davis
Keyword(s):  
Spatial Reasoning ◽  
Short Term

scholarly journals Filtering Link Outliers in Vehicle Trajectories by Spatial Reasoning

2021 ◽  
Vol 10 (5) ◽  
pp. 333
Author(s):  
Junli Liu ◽  
Miaomiao Pan ◽  
Xianfeng Song ◽  
Jing Wang ◽  
Kemin Zhu ◽  
...  
Keyword(s):  
Urban Areas ◽  
Spatial Reasoning ◽  
Sampling Interval ◽  
Global Navigation Satellite Systems ◽  
Quality Analysis ◽  
Ancillary Data ◽  
Satellite Systems ◽  
Positioning Errors ◽  
Vehicle Trajectories ◽  
Global Navigation Satellite

Vehicle trajectories derived from Global Navigation Satellite Systems (GNSS) are used in various traffic applications based on trajectory quality analysis for the development of successful traffic models. A trajectory consists of points and links that are connected, where both the points and links are subject to positioning errors in the GNSS. Existing trajectory filters focus on point outliers, but neglect link outliers on tracks caused by a long sampling interval. In this study, four categories of link outliers are defined, i.e., radial, drift, clustered, and shortcut; current available algorithms are applied to filter apparent point outliers for the first three categories, and a novel filtering approach is proposed for link outliers of the fourth category in urban areas using spatial reasoning rules without ancillary data. The proposed approach first measures specific geometric properties of links from trajectory databases and then evaluates the similarities of geometric measures among the links, following a set of spatial reasoning rules to determine link outliers. We tested this approach using taxi trajectory datasets for Beijing with a built-in sampling interval of 50 to 65 s. The results show that clustered links (27.14%) account for the majority of link outliers, followed by shortcut (6.53%), radial (3.91%), and drift (0.62%) outliers.

Sign in / Sign up

Export Citation Format

Share Document