'''Distributed artificial intelligence (DAI)''' is a subfield of [[artificial intelligence]] research dedicated to the development of distributed solutions for complex problems regarded as requiring intelligence. DAI is closely related to and a predecessor of the field of [[Multi-agent system|Multi-Agent Systems]].
== Examples ==
Many examples and descriptions exists for an '''Distributed artificial intelligence''' but essentially it is a [[knowledge management]] and [[knowledge production]] tool capable of providing a unified working method among firms, research centers, institutions, universities, think tanks, consultants, and other organizations. For comparison, an example of '''Distributed Intelligence''' is described by [http://www.pcmag.com/encyclopedia_term/0,2542,t=distributed+intelligence&i=41566,00.asp PC Magazine] as a means of dynamic knowledge creation. An example of '''Distributed artificial intelligence''' is found in the capability of creating [http://www.w3.org/RDF/ Resource Description Frameworks] as defined by the [[W3C]] Organization for the advancement of the [[Semantic Web]]. Another example of '''Distributed artificial intelligence''' has the characteristics defined as an [http://go.worldbank.org/94MMDLIVF0 Innovative System] which is one of four requirements by the [[World Bank Institute]] for a country to participate in the [http://go.worldbank.org/94MMDLIF0 knowledge economy].
== Concepts ==
The concept of ''Distributed Artificial Intelligence'' is defined as being capable of knowledge representation by disseminating tags using [http://www.w3.org/standards/semanticweb/ontology Ontologies]. The ‘’Cognitive Concepts‘’ are formed using [[Ontology|Ontologies]] that are [[Axiology|Axiologically]] Valued in the process of dynamically creating a [http://www.w3c.org/RDF/ Resource Description Framework] (RDF). An RDF is disseminated from a collection of data defined as a knowledgebase. <ref>Davis, Miles. “Industry Roadmap to Web 3.0 & Multibillion Dollar Market Opportunities”, Project10X Semantic Wave Report, 2009, pg 8 </ref> The concept of a knowledgebase disseminated RDF would follow standards such as [[XML]] file formatting to meet universal portability. Such portability allows for the desired RDF to be downloadable as an attachment to that knowledgebase and may be used with any compatible [[Agent]] or its own [[intelligent agent]]. One example is the dissemination and attachment of an RDF as part of an online encyclopedia which would transform it into a knowledgebase capable of connecting a host of [[Intelligent Agent]]s using [[Ontology]] [http://www.w3.org/standards/semanticweb/inference.html Inference]. An end-user PC operating such an [[Intelligent Agent]] or sometimes referred to as a ‘’Software Agent’’ may select any knowledgebase file and download the RDF into the [[Agent]]. Proceeding, the concept is once the RDF is animated by the [http://www.w3c.org/RDF/ Intelligent Agent], the end-users content is given semantic interoperability by [[Axiology|Axiological]] Valuation relative to the contextualization of the selected knowledgebase creating an ODIS ([http://www.iadis.net/dl/final_uploads/200604S133.PDF Ontology-based Domain Repository]).<ref> Michael Sintek, Stefan Decker: TRIPLE - A Query, Inference, and Transformation Language for the Semantic Web., First International Semantic Web Conference 2002: 364-378. </ref> Distributed Intelligence occurs when a group of [[Intelligent Agent]]s have a directive that is syntactically poised in a [[logical]] [[question]] to resolve problems using contextualization as the result for knowledge creation. Therefore, through [[Axiology|Axiological]] Valuations of the [[Resource Description Framework]]’s [[Ontology]] allows a systems approach to such [[innovation]]s as the ability to create knowledge in the form of a [[commodity]].
