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To this end we propose the KnowRob knowledge processing system for robots.
In this article, we discuss why the requirements of a robot knowledge processing system differ from what is commonly investigated in AI research, and propose to re-consider a KR system as a semantically annotated view on information and algorithms that are often already available as part of the robot's control system.
An experimental knowledge processing system can induce automatically the new knowledge fact that Ayercillin, an item unknown to the system and hence not appearing in Figure 10, is most likely to be a drug, precisely a penicillin.
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Ideas and concepts of distributed systems, artificial intelligence, and soft computing are merged into a unique architecture to provide the cooperation, flexibility, and adaptability required by knowledge processing in intelligent control systems.
The overall knowledge processing capacity of healthcare systems can be thought to be distributed between two sources: human resources (i.e., healthcare professionals) and information technology (Medical Informatics).
The system renders three major advantages: with product modeling, engineers' tasks can be focused on product design and not on design drawing; being integrated with an AI technology, the system sets up a design environment with field knowledge by which design efficiency can be improved significantly; and a new frame-rule structure for knowledge processing has been incorporated into the system.
And the kind of knowledge that's in a natural language processing system like Powerset is using is sort of like that.
The test group used the EAR method (including the Prolog processing system and SES) to create knowledge, while the control group used a text editor, the Prolog processing system, and SES to create Prolog code.
However, on the basis of the current knowledge about the brain, suggesting that the visual processing system and the verbal processing system are anatomically and functionally independent, this model seems to be outdated.
This paper investigates the appropriateness of knowledge management system (KMS) designs for different organizational knowledge processing challenges.
From this knowledge-based perspective, "ontology is defined as a theory (system) of concepts/vocabulary used as building blocks of an information processing system" (Mizoguchi et al. 1995).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com