Class / Patent application number | Description | Number of patent applications / Date published |
706053000 | Frame-based reasoning system | 17 |
20080208788 | METHOD AND SYSTEM FOR PREDICTING CUSTOMER WALLETS - A method (and system) of predicting an unobserved target variable includes building a graphical predictive model from domain knowledge, which takes advantage of conditional independence to facilitate inference about the unobserved target variable, given observations of other variables in the graphical predictive model from a plurality of information sources. | 08-28-2008 |
20080306897 | System for Providing Healthcare Operation Specific User Interface Display Images - A system provides a user interface for viewing nursing problems with multiple levels of granularity in a knowledge base and rendered in an application that are dependent on context of problems, patient demographic information and information needed by a user interface image. A user interface system presents patient medical problem information to a user. The system includes a first search processor for automatically searching a knowledge base of information associating multiple different medical problems with corresponding attributes to find an attribute indicating a particular characteristic of a particular medical problem, in response to occurrence of an event. A display processor initiates generation of data representing a display image. The display image includes, a first image area for including data indicating candidate medical problems and associated attributes and a second image area for including data representing assigned medical problems of a particular patient and enabling a user to select a medical problem for transfer from the first image area to the second image area. | 12-11-2008 |
20090177614 | RISK ASSESSMENT BETWEEN AIRCRAFTS - A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within a first aircraft. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score. | 07-09-2009 |
20090177615 | RISK ASSESSMENT BETWEEN AIRPORTS - A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within a first airport. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score. | 07-09-2009 |
20090187529 | Method of Generating Behavior for a Graphics Character and Robotics Devices - The present invention relates to a method for determining behaviour of an autonomous entity within an environment using a weighted memory of observed objects, including the steps of: processing the weighted memory; generating an image of the environment from the perspective of the entity; recognizing visible objects within the image from a list of object types; storing data about the visible objects within the memory; and processing object data extracted from the memory in accordance with each object's type using an artificial intelligence engine in order to determine behavior for the entity. A system and software for determining behavior of an autonomous entity are also disclosed. | 07-23-2009 |
20090192974 | Decomposing Human Behavior Into Quantified Layers of Perception - A method, computer program product, and system are provided for decomposing human behavior into quantifiable layers of perception. The method for decomposing human behavior into quantifiable layers of perception may be referred to as “DAP-E,” which is an acronym representative of four main phases of the method. Theses phases include the following: decompose; aggregate; propagate; and, evaluate. For example, an embodiment of the method may include aggregating one or more outputs from one or more behavioral models to represent a statistically significant conclusion and propagating the conclusion across a social network to allow opinions of a first entity within the social network to influence a conclusion of a second entity. The method may also include updating the one or more behavioral models based on new data. In aggregating the one or more outputs, the one or more behavioral models, which may be from a field of psychology, may be correlated to one or more layers of perception relating to a topic of interest. Further, the outputs may be aggregated using a Bayesian belief network to calculate an impact that the one or more outputs have on beliefs of a decision maker. A token passing behavior algorithm may be used to weigh an opinion of an entity receiving a token when propagating the conclusion across the social network. An increase in a percent confidence score from the Bayesian belief network may result from an aggregation of updated behavioral model outputs. | 07-30-2009 |
20090204563 | GENERIC AI ARCHITECTURE FOR A MULTI-AGENT SYSTEM - The invention relates to architecture of a computer program in order to implement a multi-agent system. The architecture enables the agents to interact with a simulation or game world on a first plane and/or with robots in the real world. Said architecture has a second and third plane. Said second plane contains an abstract representation of the simulation world on the first plane which reduces on concepts. Said third plane implements the agents of the multi-agent system. Interfaces are only arranged between the first and second plane, and between the second and third plane, not however between the first and the third plane. The artificial intelligence of the agents is implemented on the second and third planes such that the simulation world of the first plane can be widened, which leads to artificial intelligence. As a result, the architecture provides a KI-middleware for, for example, computer games. | 08-13-2009 |
20090222401 | Detecting Presence/Absence of an Information Signal - A method including receiving inputs; determining an expected variance of the inputs; and testing a first hypothesis that the inputs include a signal. | 09-03-2009 |
20090307177 | CALL GROUP MANAGEMENT USING THE SESSION INITIATION PROTOCOL - A method, apparatus, and electronic device for hierarchical communications are disclosed. A connection interface | 12-10-2009 |
20100023474 | Decision Tree Coalescing for Document Ranking - Machine-learned ranking algorithms, e.g. for ranking search results, often use a sequence of decision trees involving decision nodes based on threshold values of features. Modules, systems and methods of optimizing such algorithms involve analyzing threshold feature values to determine threshold intervals for each feature and grouping decision trees according to the feature used in a root decision node. Then coalescing the decision trees within each group to form a coalesced group tree for each group and finally coalescing the coalesced group trees to form a coalesced tree that implements the algorithm. | 01-28-2010 |
20100082521 | Attribute-Based Hierarchy Management For Estimation And Forecasting - Computer-implemented systems and methods generate forecasts or estimates with respect to one or more attributes contained in an attribute-based hierarchy. Physical hierarchical data and attribute input data are received so that an attribute-based hierarchy can be created. A mapping table is created that indicates relationships between the attribute-based hierarchy and the physical hierarchy, wherein the attribute-based hierarchy is accessed during model forecasting analysis or model estimation analysis. | 04-01-2010 |
20100125543 | Method and Apparatus to Facilitate Using a Hierarchical Task Model With Respect to Corresponding End Users - One automatically accesses ( | 05-20-2010 |
20110016078 | PREDICTIVE ANALYTIC METHOD AND APPARATUS - A computerized project management analytical system and method that develops and manages an ontology that links objects and is capable of being mined. The ontology is comprised of a project ontology framework, a matching engine and a project status matrix that illustrates a multi-relational view of the project status, of confidence levels, or interdiction points and/or positions on project timelines. | 01-20-2011 |
20120166382 | System and Method for Classifying Data Streams with Very Large Cardinality - An object and attributes that describe that object are identified. The attributes are grouped into attribute patterns, and classification classes are identified. For each identified class a sketch table containing a plurality of parallel hash tables is created. For the object to be classified, each attribute pattern is processed using the all of the hash functions for each sketch table, resulting in a plurality of values under each sketch table for a single attribute pattern. The lowest value is selected for each sketch table. The distribution of values across all sketch tables is evaluated for each attribute pattern, producing a discriminatory power for each attribute pattern. Attribute patterns having a discriminatory power above a given threshold are selected and added to the associated sketch table values. The sketch table with the largest overall sum is identified, and the associated class is assigned to the object belonging to the attribute patterns. | 06-28-2012 |
20120191640 | MINING TEMPORAL PATTERNS IN LONGITUDINAL EVENT DATA USING DISCRETE EVENT MATRICES AND SPARSE CODING - Methods and systems for event pattern mining are shown that include representing longitudinal event data in a measurable geometric space as a temporal event matrix representation (TEMR) using spatial temporal shapes, wherein event data is organized into hierarchical categories of event type and performing temporal event pattern mining with a processor by locating visual event patterns among the spatial temporal shapes of said TEMR using a constraint sparse coding framework. | 07-26-2012 |
20150019474 | INFLUENCE MAXIMIZATION WITH VIRAL PRODUCT DESIGN - The disclosure includes use of a feature-aware propagation model to identify one or more features of a product and one or more person(s), or members of a social network, to target, or user, for marketing the product having the identified features. The one or more person(s) identified using the model may be the person(s), or member(s), of a social network determined to have a maximum capability, relative to other members of the social network, for influencing the members of the social network in adopting, e.g., purchasing, a product having the identified features. In addition, parameters of the model may be determined using information about the social network, user preferences, and the products and features of the products. | 01-15-2015 |
20180025283 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM | 01-25-2018 |