7. A system for implementing intelligent agent services, comprising: a host system computer; and an application executing on the host system computer, the application implementing: generating an ontological domain for an individual based upon information elements, wherein a set of information elements represents a behavior of the individual at a point in time, the generating including creating subdomains of contextually organized collections of a plurality of sets of the information elements, the subdomains including any orthogonally related data identified among a plurality of behaviors; determining relevance of relationships among the plurality of sets of the information elements in the ontological domain, the relevance determined based upon measurable aspects, wherein a relationship determined to be relevant is identified as an interest of the individual; identifying sources of information topically related to the interest; searching the sources of information using the plurality of sets of the information elements having the relationship determined to be relevant to identify a solution for satisfying the interest; and detecting the behavior of the individual, gathering the information elements from a portion of the sources in response to the detecting; wherein detectable behaviors represent behavioral indicators that occur within a physical and virtual geography and in relation to time, the detectable behaviors including a transaction, a presence of the individual at a location, a presence of the individual at a function, and a computer query; wherein the presence of the individual at a function is determined by analyzing a combination of activities conducted by the individual at the sources.
7. A system for implementing intelligent agent services, comprising: a host system computer; and an application executing on the host system computer, the application implementing: generating an ontological domain for an individual based upon information elements, wherein a set of information elements represents a behavior of the individual at a point in time, the generating including creating subdomains of contextually organized collections of a plurality of sets of the information elements, the subdomains including any orthogonally related data identified among a plurality of behaviors; determining relevance of relationships among the plurality of sets of the information elements in the ontological domain, the relevance determined based upon measurable aspects, wherein a relationship determined to be relevant is identified as an interest of the individual; identifying sources of information topically related to the interest; searching the sources of information using the plurality of sets of the information elements having the relationship determined to be relevant to identify a solution for satisfying the interest; and detecting the behavior of the individual, gathering the information elements from a portion of the sources in response to the detecting; wherein detectable behaviors represent behavioral indicators that occur within a physical and virtual geography and in relation to time, the detectable behaviors including a transaction, a presence of the individual at a location, a presence of the individual at a function, and a computer query; wherein the presence of the individual at a function is determined by analyzing a combination of activities conducted by the individual at the sources. 10. The system of claim 7 , wherein the application further implements: dynamically updating the ontological domain over time by iteratively gathering the information elements from sources in response to detecting behaviors of the individual, and updating the subdomains to reflect the iterative gathering; and updating the interest based upon updates made to the ontological domain.