# US 12,010,594 B2 · Multicast expert system information dissemination system and method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,010,594 B2 - Document ID: US12010594B2 - Status: Granted - Kind: B2 - Application number: 17/862,356 - Filed: 2022-07-11 - Published: 2022-11-03 - Granted: 2024-06-11 - Earliest claimed: 2021-05-17 - Applicants: Robert D. Pedersen - Inventors: Robert D. Pedersen - Web page: https://patentgrep.com/patent/US12010594B2 ## CPC - H04W 4/18: Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals - H04L 12/1845: {broadcast or multicast in a specific location, e.g. geocast (protocols for adapting network applications to user terminal location H04L67/52; services specially adapted for wireless communication networks making use of the location of users or terminals H04W4/02)} - H04W 4/025: {using location based information parameters} - H04W 4/14: Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD] - H04L 12/189: {in combination with wireless systems (selective distribution or broadcast in wireless communication networks H04W4/06)} - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract Multicast expert system information dissemination systems and methods making use of artificial intelligence are provided. The systems and methods include a wireless device for receiving RF multicast information messages from a content provider wherein said information is descriptive of objects potentially of interest to users of the device. Received multicast messages may include information parameters about objects of potentially interest to the user. The wireless device also includes a knowledge base prestored in the wireless device descriptive of the user's level of interest in various objects. Artificial intelligence expert system control is used to evaluate a combination of the user's level of interest in the object information and distance from the user to the location where the object may be obtained. The artificial intelligence expert system derives a user advisory action index. In one embodiment the artificial intelligence may be implemented using fuzzy logic inference engine apparatus. ## Claims ### Claim 1 A method of artificial intelligence expert system analysis and evaluation of remote opportunities or situations of interest to a mobile user and available from a remote content provider comprising: a. a specifically programmed wireless device communication computer system comprising electronic memory and telecommunication interfaces; b. storing in said electronic memory executable artificial intelligence expert system program code; c. storing in said electronic memory parameters descriptive of said remote opportunities or situations of interest to said mobile user; d. receiving via said telecommunication interfaces and storing in said electronic memory parameters for derivation of the location said mobile user; e. registering with said remote content provider parameters descriptive of said remote opportunities or situations of interest to said mobile user; f. receiving from said remote content provider and storing in said electronic memory parameters descriptive of a remote opportunity or situation of interest to said mobile user including availability and location of said remote opportunity or situation, said parameters originating from one or more sources proximate said remote opportunity or situation of interest to said mobile user; g. said specifically programmed wireless device communication computer system performing at least the following operations: i. accessing from said electronic memory said parameters descriptive of a remote opportunity or situation of interest to said mobile user received from said remote content provider and further comprising information descriptive the availability and location of said remote opportunity or situation of interest to said mobile user; ii. accessing from said electronic memory said parameters for derivation of the location said mobile user; iii. deriving a parameter defining a distance or travel time between said mobile user and said location of said remote opportunity or situation of interest to said mobile user without disclosing said mobile user location thereby protecting privacy of said mobile user; iv. artificial intelligence expert system analysis of expert defined combinations of multidimensional matrix parameters with individual parameter ranges wherein said multidimensional matrix further comprises expert defined propositional logic inference rules defining multiple conditional relationships between said expert defined combinations of multidimensional matrix parameters; v. artificial intelligence expert system derivation of advisory action indices based on analysis of said expert defined combinations of multidimensional matrix parameters providing recommended mobile user actions regarding said remote opportunity or situation; vi. prioritization of multiple simultaneously occurring remote opportunities or situations of interest to said mobile user based on respective advisory action indices; and, vii. wherein derivation of advisory action indices by said artificial intelligence expert system minimizes cognitive distraction of said mobile user in evaluation of said remote opportunity or situation of interest. ### Claim 2 (depends on 1) The method of claim 1 wherein a first parameter of said multidimensional matrix defines a mobile user's level of interest in a particular defined object or situation of interest to said mobile user, said level of interest being within a set of ranges of expert defined possible ranges of level of interest in said particular defined object or situation of interest. ### Claim 3 (depends on 2) The method of claim 2 wherein a second parameter of said multidimensional matrix defines a calculated distance or travel time from current said mobile user's location to the location of said particular defined object or situation of interest to said mobile user, said calculated distance or travel time being within a set of expert defined possible defined ranges of said calculated distance or travel times. ### Claim 4 (depends on 3) The method of claim 3 wherein said artificial intelligence expert system derivation of advisory action indices is based on analysis of expert defined propositional logic statements relating expert defined combinations of said level of interest parameter and said calculated distance or travel time parameter. ### Claim 5 (depends on 3) The method of claim 3 wherein one or more additional parameters of said multidimensional matrix defines one or more of roadway conditions or traffic conditions between said mobile user current location and the location of said particular defined object or situation of interest to said mobile user. ### Claim 6 (depends on 5) The method of claim 5 wherein said artificial intelligence expert system derivation of advisory action indices is based on analysis of expert defined propositional logic statements relating expert defined combinations of said level of interest parameter, said calculated distance or travel time parameter, and said one or more of roadway conditions or traffic conditions parameters. ### Claim 7 (depends on 1) The method of claim 1 wherein multiple mobile users are organized in subgroups with common interests by said remote content provider to receive multicast advisory messages from said remote content provider intended for individual subgroups without any of said multiple mobile users disclosing their location to said remote content provider. ### Claim 8 (depends on 7) The method of claim 7 wherein multicast technology allows for the multicast advisory messages to be delivered to multiple mobile users in select individual cell sites or clusters of cell sites in defined proximity to said remote content provider thereby limiting the geographic area to mobile users that are located within said defined proximity to the remote content provider. ### Claim 9 (depends on 8) The method of claim 8 wherein the mobile user may be one of multiple mobile users assigned the same multicast addresses. ### Claim 10 (depends on 7) The method of claim 7 wherein said mobile user receives multicast advisory messages addressed to a private address of said mobile user. ### Claim 11 The method of 7 wherein said multicast advisory messages are simultaneously disseminated throughout the network to a selected group of mobile users without being made available to other mobile users including those that maybe located within radio frequency range of said selected group of mobile users. ### Claim 12 The method of 7 wherein information for said multicast advisory messages is organized in a remote content provider database of layered information with more detailed information available in the lower layers of the database. ### Claim 13 The method of 12 wherein information for a first multicast advisory message is filtered to limit transmitted information to that from the highest-level layers of said remote content provider database and is sufficient to determine a particular mobile user's interest in an opportunity or situation of interest to said mobile user and available from said remote content provider. ### Claim 14 The method of 13 wherein said first multicast advisory message filtering assists the mobile user in evaluation of that opportunity or situation without requiring unnecessary user attention to received information from said remote content provider that may be of lesser interest. ### Claim 15 The method of 14 wherein after receiving filtered said first multicast advisory message, said mobile user contacts said remote content provider only if further information descriptive of the opportunity or situation of interest is desired. ### Claim 16 The method of 15 wherein said multicast advisory message dissemination comprises voice communications to said mobile users describing opportunities or situations presented by said remote content provider, answering questions from said mobile user, or providing other further information to said mobile users. ### Claim 17 (depends on 12) The method of claim 12 wherein said remote content provider database is accessible from a content provider processor, said remote content provider database comprising information descriptive of said opportunities or situations of interest to said mobile user and further comprising one or more of control information, status information, history information, audio information, video information, image information, operational information, contact information, internet address information, telephone number information, received message information, alarm information or other information useful to said remote content provider. ### Claim 18 (depends on 17) The method of claim 17 wherein said remote content provider database is partially or completely located remote from said remote content provider in a distributed database including distributed cloud-based databases or other remote information storage systems. ### Claim 19 (depends on 1) The method of claim 1 wherein said remote content provider uses a time/clock unit for providing accurate time information disseminated to remote mobile users to ensure coordinated and accurate time available throughout the multicast expert system information dissemination, thereby providing coordination of time sensitive multicast advisory messages describing opportunities or situations of interest to a mobile user and available from a remote content provider. ### Claim 20 (depends on 1) The method of claim 1 wherein database information of said remote content provider may be periodically updated by said remote content provider.