A geometric reasoning system for moving an object while maintaining contact with others

1985 ◽  
Author(s):  
A. Koutsou
Keyword(s):  
Geometric Reasoning ◽  
Reasoning System

A Product Design Method Based on Integrated Geometric and Rule-Based Reasoning

2009 ◽  
Vol 628-629 ◽  
pp. 7-12
Author(s):  
Zhi Yi Pan ◽  
X.Y. Cao ◽  
Y. Wu ◽  
Shun De Gao
Keyword(s):  
Product Design ◽  
Design Method ◽  
Geometric Reasoning ◽  
Rule Based ◽  
Improve Design ◽  
Design Scheme ◽  
Reasoning System ◽  
Tooling Design ◽  
Design Software ◽  
Target Design

Though rule-based reasoning system is easy to create and convenient to extend, it is not flexible because of the demand for precise matching. Geometric reasoning system can obtain engineering semantic from CAD model and connect geometric topology with design knowledge, but it can not drive product design directly. Utilizing the complementary of rule-based reasoning and geometric reasoning, a product design method based on integrated geometric and rule-based reasoning is presented. The method can standardize the expression of design scheme which is from geometric reasoning, and dock seamlessly design scheme and input condition in rule-based reasoning system. Furthermore, the result of rule-based reasoning can drive product design directly. The operation of human-computer interaction and designer’s experience needed are decreased greatly. Digital target in locater is significant to harmonize aircraft tie-in. there are different types in it, and the amount of it is huge, so its design process is complicated and fussy. On the basis of the method, a rapid design software package for locator digital target design is developed and has been applied in aircraft assembly tooling design. The application has proved the method can improve design efficiency, standardization and intelligence.

A multi-level geometric reasoning system for vision

1988 ◽  
Vol 37 (1-3) ◽  
pp. 291-332 ◽  
Author(s):  
Michele Barry ◽  
David Cyrluk ◽  
Deepak Kapur ◽  
Joseph Mundy ◽  
Van-Duc Nguyen
Keyword(s):  
Geometric Reasoning ◽  
Reasoning System ◽  
Multi Level

scholarly journals Fuzzy Logic for Incidence Geometry

2016 ◽  
Vol 2016 ◽  
pp. 1-18 ◽  
Author(s):  
Alex Tserkovny
Keyword(s):  
Fuzzy Logic ◽  
Spatial Reasoning ◽  
Geometric Reasoning ◽  
Conditional Inference ◽  
Incidence Geometry ◽  
Mathematical Framework ◽  
Human Language ◽  
Mathematical Apparatus ◽  
Reasoning System ◽  
Fuzzy Degree

The paper presents a mathematical framework for approximate geometric reasoning with extended objects in the context of Geography, in which all entities and their relationships are described by human language. These entities could be labelled by commonly used names of landmarks, water areas, and so forth. Unlike single points that are given in Cartesian coordinates, these geographic entities are extended in space and often loosely defined, but people easily perform spatial reasoning with extended geographic objects “as if they were points.” Unfortunately, up to date, geographic information systems (GIS) miss the capability of geometric reasoning with extended objects. The aim of the paper is to present a mathematical apparatus for approximate geometric reasoning with extended objects that is usable in GIS. In the paper we discuss the fuzzy logic (Aliev and Tserkovny, 2011) as a reasoning system for geometry of extended objects, as well as a basis for fuzzification of the axioms of incidence geometry. The same fuzzy logic was used for fuzzification of Euclid’s first postulate. Fuzzy equivalence relation “extended lines sameness” is introduced. For its approximation we also utilize a fuzzy conditional inference, which is based on proposed fuzzy “degree of indiscernibility” and “discernibility measure” of extended points.

Dual systems for all: Higher-order, role-based relational reasoning as a uniquely derived feature of human cognition

2019 ◽  
Vol 42 ◽  
Author(s):  
Daniel J. Povinelli ◽  
Gabrielle C. Glorioso ◽  
Shannon L. Kuznar ◽  
Mateja Pavlic
Keyword(s):  
Temporal Reasoning ◽  
Higher Order ◽  
Important Case ◽  
Human Cognition ◽  
Relational Reasoning ◽  
Dual Systems ◽  
First Order ◽  
Reasoning System ◽  
Role Based

Abstract Hoerl and McCormack demonstrate that although animals possess a sophisticated temporal updating system, there is no evidence that they also possess a temporal reasoning system. This important case study is directly related to the broader claim that although animals are manifestly capable of first-order (perceptually-based) relational reasoning, they lack the capacity for higher-order, role-based relational reasoning. We argue this distinction applies to all domains of cognition.

DECISION-MAKING ON INVESTMENT OF IT-INNOVATION BASED ON FUZZY EXPERT INFORMATION

2018 ◽  
pp. 103-111
Author(s):  
Olga Olegovna Eremenko ◽  
Lyubov Borisovna Aminul ◽  
Elena Vitalievna Chertina
Keyword(s):  
Decision Making ◽  
Individual Characteristics ◽  
Production Model ◽  
Investment Management ◽  
It Projects ◽  
Product Model ◽  
Project Cost ◽  
Reasoning System ◽  
Managerial Decisions ◽  
The Individual

The subject of the research is the process of making managerial decisions for innovative IT projects investing. The paper focuses on the new approach to decision making on investing innovative IT projects using expert survey in a fuzzy reasoning system. As input information, expert estimates of projects have been aggregated into six indicators having a linguistic description of the individual characteristics of the project type "high", "medium", and "low". The task of decision making investing has been formalized and the term-set of the output variable Des has been defined: to invest 50-75% of the project cost; to invest 20-50% of the project cost; to invest 10-20% of the project cost; to send the project for revision; to turn down investing project. The fuzzy product model of making investment management decisions has been developed; it adequately describes the process of investment management. The expediency of using constructed production model on a practical example is shown.

scholarly journals Using extended siamese networks to provide decision support in aquaculture operations

2021 ◽  
Author(s):  
Bjørn Magnus Mathisen ◽  
Kerstin Bach ◽  
Agnar Aamodt
Keyword(s):  
Neural Networks ◽  
Decision Support ◽  
Similar Case ◽  
Decision Makers ◽  
Similarity Function ◽  
Case Based Reasoning ◽  
Similarity Learning ◽  
Reasoning System ◽  
Siamese Networks ◽  
Case Based

AbstractAquaculture as an industry is quickly expanding. As a result, new aquaculture sites are being established at more exposed locations previously deemed unfit because they are more difficult and resource demanding to safely operate than are traditional sites. To help the industry deal with these challenges, we have developed a decision support system to support decision makers in establishing better plans and make decisions that facilitate operating these sites in an optimal manner. We propose a case-based reasoning system called aquaculture case-based reasoning (AQCBR), which is able to predict the success of an aquaculture operation at a specific site, based on previously applied and recorded cases. In particular, AQCBR is trained to learn a similarity function between recorded operational situations/cases and use the most similar case to provide explanation-by-example information for its predictions. The novelty of AQCBR is that it uses extended Siamese neural networks to learn the similarity between cases. Our extensive experimental evaluation shows that extended Siamese neural networks outperform state-of-the-art methods for similarity learning in this task, demonstrating the effectiveness and the feasibility of our approach.

Challenges and Opportunities in Collaborative Vulnerability Research Workflows

2020 ◽  
Vol 64 (1) ◽  
pp. 420-424
Author(s):  
Ryan Mullins ◽  
Deirdre Kelliher ◽  
Ben Nargi ◽  
Mike Keeney ◽  
Nathan Schurr
Keyword(s):  
Human Performance ◽  
Collaborative Work ◽  
Research Process ◽  
Workflow Model ◽  
Human Vulnerability ◽  
Research Teams ◽  
Reasoning System ◽  
Challenges And Opportunities ◽  
New Research ◽  
Future Work

Recently, cyber reasoning systems demonstrated near-human performance characteristics when they autonomously identified, proved, and mitigated vulnerabilities in software during a competitive event. New research seeks to augment human vulnerability research teams with cyber reasoning system teammates in collaborative work environments. However, the literature lacks a concrete understanding of vulnerability research workflows and practices, limiting designers’, engineers’, and researchers’ ability to successfully integrate these artificially intelligent entities into teams. This paper contributes a general workflow model of the vulnerability research process, and identifies specific collaboration challenges and opportunities anchored in this model. Contributions were derived from a qualitative field study of work habits, behaviors, and practices of human vulnerability research teams. These contributions will inform future work in the vulnerability research domain by establishing an empirically-driven workflow model that can be adapted to specific organizational and functional constraints placed on individual and teams.

Geometric reasoning with logic and algebra

1988 ◽  
Vol 37 (1-3) ◽  
pp. 37-60 ◽  
Author(s):  
Dennis S. Arnon
Keyword(s):  
Geometric Reasoning ◽  
And Algebra
Sign in / Sign up

Export Citation Format

Share Document