Steven A. Harp - Coon Rapids MN, US Christopher W. Geib - Minneapolis MN, US
Assignee:
Honeywell International Inc. - Morristown NJ
International Classification:
G06F 11/00
US Classification:
726 25, 726 23
Abstract:
A skeptical system protects an asset by monitoring commands of a user, predicting a plan of the user based on the monitored commands, inferring an actual plan from the predicted plan, receiving information related to an identity of the user, inferring an actual identity of the user from the information, assessing a threat based on the actual plan and the actual user identity, and selecting, from among a plurality of possible responses, a response that is appropriate to the assessed threat.
Ryan A. VanRiper - Maple Grove MN, US David Musliner - Plymouth MN, US Christopher W. Geib - Minneapolis MN, US
Assignee:
Honeywell International Inc. - Morristown NJ
International Classification:
G06F 17/30
US Classification:
707204, 707 3, 707 10
Abstract:
A system and method analyzes queries in a computer network, and identifies problem-causing queries that could be harmful to the system. If a query does not match any queries in a database, the query is transmitted to its destination. If a query matches a query in the database, that query is blocked from transmission to the destination. If a query is transmitted to its destination, and it is later determined that query caused a problem on that destination, that query is added to the database of queries. In one embodiment, a query that does not cause any problems is written to a pool of current up-to-date backup databases that may be used if the main system goes down. In another embodiment, the system tests variants of a query that caused a problem at the destination to attempt to discover other queries that could cause a problem.
Probabilistic Goal Recognition System And Method Incorporating Inferred Unobserved Actions
Christopher Geib - Minneapolis MN, US Robert Goldman - Minneapolis MN, US
International Classification:
G06F017/18
US Classification:
702/181000
Abstract:
A system and method for recognizing a goal of an actor in an environment by considering hypothesized unobserved actions. The method includes providing a plan library that includes a list of possible goals and corresponding plans. Actions of the actor are observed, and the occurrence of hypothesized unobserved actions are considered. Finally, one or more plans consistent with the observed actions and the consideration of hypothesized unobserved actions are identified.
Christopher Geib - Minneapolis MN, US Robert Goldman - Minneapolis MN, US
International Classification:
G06F011/30
US Classification:
713/200000
Abstract:
A plan recognition method is implemented by a processing system and includes monitoring actions of a user, recognizing a plan of the user based on the monitored actions, and recognizing an abandonment of the plan based on the monitored actions.
System And Method For Automatically Generating Condition-Based Activity Prompts
Karen Haigh - Greenfield MN, US Christopher Geib - Minneapolis MN, US Wende Dewing - Minneapolis MN, US Christopher Miller - St. Paul MN, US Stephen Whitlow - St. Louis Park MN, US
Assignee:
Honeywell International Inc.
International Classification:
G06F017/00
US Classification:
707/102000
Abstract:
Embodiments of the present invention provide a system for automatically generating condition based activity prompts. The system comprises a controller and at least one sensor for monitoring an actor. The controller is adapted to receive sensor data from the sensor and determine whether to generate a condition based activity prompt based upon a comparison of the sensor data to predefined data. The condition based activity prompt is related to assisting the actor in performing a particular task, providing a reminder to the actor to perform a particular task, or providing a to-do list item to the actor.
System And Method For Automated Monitoring, Recognizing, Supporting, And Responding To The Behavior Of An Actor
Christopher Miller - St. Paul MN, US Wende Dewing - Minneapolis MN, US Karen Haigh - Greenfield MN, US David Toms - Minneapolis MN, US Rand Whillock - North Oaks MN, US Christopher Geib - Minneapolis MN, US Stephen Metz - St. Paul MN, US Rose Richardson - Roseville MN, US Stephen Whitlow - Rogers MN, US John Allen - New Brighton MN, US Lawrence King - Minneapolis MN, US John Phelps - Newport ME, US Victor Riley - Shoreview MN, US Peggy Wu - Minneapolis MN, US
Assignee:
Honeywell International Inc.
International Classification:
G06F011/30 G06F015/00 G21C017/00
US Classification:
702/182000
Abstract:
An automated system and method for monitoring and supporting and actor in an environment, such as a daily living environment. The system includes at least one sensor, at least one effector and a controller adapted to provide monitoring, situation assessment, response planning, and plan execution functions. In one preferred embodiment, the controller provides a layered architecture allowing multiple modules to interact and perform the desired monitoring and support functions.
System And Method For Automatically Gathering Information Relating To An Actor In An Environment
Karen Haigh - Greenfield MN, US Christopher Geib - Minneapolis MN, US Wende Dewing - Minneapolis MN, US
International Classification:
G06F007/00
US Classification:
707003000
Abstract:
A system and method for automatically gathering information to assist in evaluating an actor in an environment. The method includes monitoring information relating to the actor. The existence of a querying situation is then automatically recognized. The querying situation implicates a mental of physical status of the actor or environment, and is based upon at least one factor apart from a direct request by the actor for assistance. In response to the recognition that a querying situation exists, a query is formulated and then automatically posed. In one embodiment, the query is posed to the actor. In another embodiment, the query is posed to a person having knowledge of the actor's activities. In yet another embodiment, the monitored information is used as the basis for recognizing the existence of a querying situation.
A plan recognition model is arranged to recognizing a plan based on observed actions as contained in an audit log. An audit log containing a collection of observed actions of at least one agent is read, and the observed actions contained in the audit log are compared to plan actions contained in plans stored in a plan library. Explanations for the observed actions are generated based on the comparison of the observed actions to plan actions, and at least one of the explanations is selected as a best fit for the observed actions. The selected explanation is provided as an output.
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