Artificial intelligence applications for computer-aided dispatch systems
Exemplary embodiments of the present invention provide a virtual dispatch assist system in which various types of Intelligent Agents are deployed (e.g., as part of a new CAD system architecture or as add-ons to existing CAD systems) to analyze vast amounts of historic operational data and provide various types of dispatch assist notifications and recommendations that can be used by a dispatcher or by the CAD system itself (e.g., autonomously) to make dispatch decisions.
1. A computer-aided dispatch (CAD) system comprising:
a CAD database storing CAD data; and
at least one server comprising a tangible, non-transitory computer readable medium having stored thereon an agent hoster subsystem and a notification subsystem, wherein:
the agent hoster subsystem is configured to communicate with a plurality of Intelligent Agents, each Intelligent Agent configured to perform a distinct dispatch-related analysis of the CAD data and to produce dispatch-related notifications based on such analysis autonomously without being queried; and
the notification subsystem is configured to implement a machine learning filter that uses characteristics of previous notifications provided to a given user and user feedback associated with such previous notifications to classify notifications and determine which types of notifications the given user wants to receive and which types of notifications the given user does not want to receive and to selectively present future notifications to the given user based at least in part on the determination of which types of notifications the given user wants to receive and which types of notifications the given user does not want to receive, wherein the notification system is configured to present wanted notifications along with a small percent of unwanted notifications to the given user via a notification interface so that the given user can provide additional feedback on such unwanted notifications to indicate whether the given user wants to receive such unwanted notifications in the future, and wherein the machine learning filter is updated based on such additional feedback for selectively presenting future notifications.
2. The system according to claim 1 , wherein notifications presented to the given user provide a mechanism for the given user to provide feedback regarding value of the notification to the given user.
3. The system according to claim 2 , wherein the feedback comprises a like/dislike indication.
4. The system according to claim 2 , wherein the feedback comprising a value rating.
5. The system according to claim 1 , wherein the machine learning filter implements a Bayesian classifier to classify notifications.
6. The system according to claim 1 , wherein the notification system further uses pre-defined user preferences to determine which types of notifications the given user wants to receive.
7. The system according to claim 1 , wherein the notification system is configured to learn notification preferences separately for a plurality of users.
8. The system according to claim 1 , wherein the number of definitively unwanted notifications presented to the user is configurable by an administrator.
9. The system according to claim 1 , wherein the notification system is configured to associate a number of related notifications and to selectively present either all of the related notifications or none of the related notifications.
10. The system according to claim 1 , wherein at least one of the Intelligent Agents is a machine-learning Intelligent agent that is retrained based on the user feedback.
11. A computer program product comprising a tangible, non-transitory computer readable medium having embodied therein a computer program which, when run on a computer, implements computer processes comprising:
an agent hoster subsystem configured to communicate with a plurality of Intelligent Agents, each Intelligent Agent configured to perform a distinct dispatch related analysis of computer-aided dispatch (CAD) data and to produce dispatch-related notifications based on such analysis autonomously without being queried; and
a notification subsystem configured to implement a machine learning filter that uses characteristics of previous notifications provided to a given user and user feedback associated with such previous notifications to classify notifications and determine which types of notifications the given user wants to receive and which types of notifications the given user does not want to receive and to selectively present future notifications to the given user based at least in part on the determination of which types of notifications the given user wants to receive and which types of notifications the given user does not want to receive, wherein the notification system is configured to present wanted notifications along with a small percent of unwanted notifications to the given user via a notification interface so that the given user can provide additional feedback on such unwanted notifications to indicate whether the given user wants to receive such unwanted notifications in the future, and wherein the machine learning filter is updated based on such additional feedback for selectively presenting future notifications.
12. The computer program product according to claim 11 , wherein notifications presented to the given user provide a mechanism for the given user to provide feedback regarding value of the notification to the given user.
13. The computer program product according to claim 12 , wherein the feedback comprises a like/dislike indication.
14. The computer program product according to claim 12 , wherein the feedback comprises a value rating.
15. The computer program product according to claim 11 , wherein the machine learning filter implements a Bayesian classifier to classify notifications.
16. The computer program product according to claim 11 , wherein the notification system further uses pre-defined user preferences to determine which types of notifications the given user wants to receive.
17. The computer program product according to claim 11 , wherein the notification system is configured to learn notification preferences separately for a plurality of users.
18. The computer program product according to claim 11 , wherein the number of definitively unwanted notifications presented to the user is configurable by an administrator.
19. The computer program product according to claim 11 , wherein the notification system is configured to associate a number of related notifications and to selectively present either all of the related notifications or none of the related notifications.
20. The computer program product according to claim 11 , wherein at least one of the Intelligent Agents is a machine-learning Intelligent agent that is retrained based on the user feedback.