REKRIATE: A Knowledge Representation System for Object Recognition and Scene Interpretation

1990 ◽  
Author(s):  
A. Meystel ◽  
S. Bhasin ◽  
X. Chen
Keyword(s):  
Object Recognition ◽  
Knowledge Representation ◽  
Representation System ◽  
Scene Interpretation ◽  
Knowledge Representation System

A Knowledge Representation System For Searching Trajectories In Robotics

1987 ◽  
Author(s):  
Marinette Revenu ◽  
Christine Porquet ◽  
Jean-Yves Leannec ◽  
Felix Cuozzo
Keyword(s):  
Knowledge Representation ◽  
Representation System ◽  
Knowledge Representation System

Knowledge Representation System for Robot-Based Automated Assembly

1989 ◽  
Vol 111 (3) ◽  
pp. 462-469 ◽  
Author(s):  
Anil Jain ◽  
Max Donath
Keyword(s):  
Knowledge Representation ◽  
Time Error ◽  
Automated Assembly ◽  
Representation System ◽  
Knowledge Presentation ◽  
Representation Model ◽  
Proposed Model ◽  
Machine Interface ◽  
Knowledge Representation System ◽  
Object Models

The complexity of the man-machine interface and the issues of controlling a robot and ensuring that the robot does indeed complete the task are significant obstacles to the use of robots in the assembly environment. We have developed a knowledge representation model for robots in the assembly environment. The proposed model provides a means of using apriori knowledge and reasoning capabilities for specifying, controlling, and monitoring the tasks performed by robots. This knowledge representation model facilitates robot programming and real time error prevention. We describe the object models for the proposed knowledge presentation system and present the constraint enforcing environment for the modeling of assemblies. This includes the representation of constraints and the rules for simplifying constraints and motion strategies for primitives and assemblies.

A Formal Knowledge Representation System (FKRS) for the Intelligent Knowledge Base of a Cognitive Learning Engine

2011 ◽  
Vol 3 (4) ◽  
pp. 1-17 ◽  
Author(s):  
Yousheng Tian ◽  
Yingxu Wang ◽  
Marina L. Gavrilova ◽  
Guenther Ruhe
Keyword(s):  
Knowledge Representation ◽  
Knowledge Base ◽  
Cognitive Learning ◽  
Cognitive Computing ◽  
Behavioral Models ◽  
Representation System ◽  
Formal Knowledge ◽  
Knowledge Based ◽  
Knowledge Representation System ◽  
The Brain

It is recognized that the generic form of machine learning is a knowledge acquisition and manipulation process mimicking the brain. Therefore, knowledge representation as a dynamic concept network is centric in the design and implementation of the intelligent knowledge base of a Cognitive Learning Engine (CLE). This paper presents a Formal Knowledge Representation System (FKRS) for autonomous concept formation and manipulation based on concept algebra. The Object-Attribute-Relation (OAR) model for knowledge representation is adopted in the design of FKRS. The conceptual model, architectural model, and behavioral models of the FKRS system is formally designed and specified in Real-Time Process Algebra (RTPA). The FKRS system is implemented in Java as a core component towards the development of the CLE and other knowledge-based systems in cognitive computing and computational intelligence.

Sign in / Sign up

Export Citation Format

Share Document