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Intelligent Agent

Technological standards presented are based on the Qaaba Cloud Inference Engine.

An Intelligent Agent is the emergence of Synthetic Intelligence or sometimes referred to as Good Old Fashioned Artificial Intelligence (GOFAI). The foremost significant difference between an Intelligent Agent and modern OOD applications is in its three part design which is made up of Axiological Resource Descriptive Frameworks (ARDFs), executable code, and content. The three part design allows for:
  • information dissemination without structured processes,
  • change and the ability to rapidly deploy change, and
  • allows for non-programmer types to maintain applications declaratively with minimal database management skills.

The application and use of our Semantic Web 3 Intelligent Agent streamlines a network of Domain Repositories. Streamlining Domain Repositories creates a network for Distributed Intelligence that enables governments and institutions to model and rapidly deploy more ICT based services and decrease time to value results.

The foremost significant advantage to the Intelligent Agent is that an unlimited number of applications may be quickly modeled and rapidly deployed. ARDFs reduces the development costs of pennies to the hundreds-of-dollars for many applications.

Semantics.

There are two methodologies to derive reasoning regarding interpretability of content (e.g., human and machine). Semantics relative to an Intelligent Agent is the interoperability between value theory of meaning and knowledge at the machine level and people. The Intelligent Agent provides the ability to create a unified working method between a collective of interdisciplinary Ontology-based and Aramaic-based Domain Repositories with people using a process referred to as the triangulation of data. For example, an ARDF driven Intelligent Agent could triangulate data of court cases with case laws, rules of evidence, and procedures.


Created by admin. Last Modification: Friday 05 of October, 2012 16:54:09 EDT by admin.