Systems and methods for virtual population mutual relationship management using electronic computer driven networks
OwnerDeborah Sterlinginventor
Life of this patent
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Abstract
A method and system for creating and managing Virtual Population mutual relationships is disclosed. The method uses a Rich Semantic Model component, expert system components, and various interface components and other components to dynamically alter the visitation experience as received by the Visitor at a computer and to allow the Visitor control over their Virtual Representative that controls this personal experience.
Claims78
A method for dynamically creating and managing mutual relationships between a virtual visitor and a virtual enterprise expert on an electronic network, comprising the steps of:
- (i) Providing a virtual population, the semantic model of which is rendered specific to one or more real world populations, said virtual population comprising instances of said model;
- (ii) Providing expert system software which effects a virtual enterprise expert, said software tailored to a particular virtual population;
- and
- (iii) Applying said expert system software to an instance of said semantic model to create a unique virtual visitation experience.
A method for dynamically creating and managing mutual relationships between a virtual visitor and a virtual enterprise expert on an electronic network, comprising the steps of:
- (i) Providing a virtual population, the semantic model of which is rendered specific to one or more real world populations, said virtual population comprising instances of said model;
- (ii) Providing software accessible to a real world enterprise expert, said software permitting said real world expert to create one or more expert rules which can be applied to instances of said semantic model;
- (iii) Providing expert system software which effects a virtual enterprise expert, said software tailored to a particular virtual population;
- and
- (iv) Applying said expert system software to an instance of said semantic model to create a unique virtual visitation experience in accordance with the real world expert rules, the interests and/or desires of the visitor, and the expert knowledge of the expert system software.
A system for dynamically creating and managing mutual relationships between a virtual visitor and a virtual enterprise expert on an electronic network, comprising:
- (i) A virtual population, the semantic model of which is rendered specific to one or more real world populations, said virtual population comprising instances of said model;
- and
- (ii) Software accessible to a real world enterprise expert, said software permitting said real world expert to create one or more expert rules which can be applied to instances of said semantic model;
- and
- (iii) Expert system software which effects a virtual enterprise expert, said software tailored to a particular virtual population;
- wherein the application of said expert system software to an instance of said semantic model creates a unique virtual visitation experience in accordance with the real world rules, the interests and/or desires of the visitor, and the expert knowledge of the expert system software.
A system for conducting real-time dynamic marketing on the Internet comprising:
- (i) A web site which contains information which can be dynamically altered and made available to a web site visitor;
- (ii) Expert system software which effects a virtual enterprise expert, said software tailored to a particular virtual population;
- and
- (iv) A stored, retrievable, and updateable virtual population accessible through a machine-readable database, the semantic model of which is rendered specific to one or more real world populations, said virtual population comprising instances of said model.
A system for creating and maintaining a virtual mutual relationship, said system being accessed by a user through a network by one or more networked computers and comprising:
- (i) A database comprising a richly semantically modeled virtual population;
- (ii) One or more expert systems in communication with said database and said software associated with a network site, said expert systems(s) being capable of performing at least one or more of the following tasks:
- (a.) applying expert rules to instances of said semantically modeled population to produce a reasoned result;
- (b.) applying expert system knowledge to instances of said semantically modeled population to produce a reasoned result;
- (c.) observing and understanding its own activity;
- (d.) learning new information as such information is generated;
- (e.) creating new expert rules automatically;
- and
- (f.) reporting on (a)-(e) above.
Dependencies are inferred from the claim text.