Mitsubishi Denki Kabushiki Kaisha

Cbs Corporation

Brian A Schultz

Douglas A Bauman

Robert W Thompson, Jr

Simon Lowenfeld

Alan F Mandel

Hatsuhiko Naitoh

William J Trosky

John D Bartels

Nobuyoshi Wada

Richard A Hullinger

Robert Ross

A system that automatically captures one or more local news program broadcasts and separates the broadcasts into the individual news stories or segments. The system then compares the stories to historical data concerning the competitive characteristics of the stories for each station and determines the topic (local, national, crime, etc.), talent (newscaster,, newscaster,, etc.) and production (live, studio, voice-over-tape, etc.) characteristics of the stories. Other characteristics that affect the popularity and therefor the competitive characteristics of the broadcasts can also be displayed, such as pacing, average story length, news-to-advertisement ratio, broadcast ordering (news then weather then news then sports, etc.), etc. The characteristics are displayed in a visual format, such as a graph, with other historical data, such as show ratings that can be divided into increments such as &frac14; hour, and optionally with the actual video/audio broadcast allowing assessment of competitors local news broadcasts.

System for analyzing television programs

An artificial intelligence software shell for plant operation simulation includes a blackboard module including a database having objects representing plant elements and concepts. A rule-based knowledge source module and a case-based knowledge source module, in communication with the blackboard module, operate on specific predefined blackboard objects. A user interface module, in communication with the blackboard module, enables a user to view blackboard status information. A control module, in communication with the blackboard module and the knowledge source modules, receives input data and controls operation of the knowledge source modules in accordance with a predetermined knowledge source priority scheme.

Artificial intelligence software shell for plant operation simulation

An artificial intelligence software shell for plant operation simulation includes a blackboard module including a database having objects representing plant elements and concepts. A rule-based knowledge source module and a case-based knowledge source module, in communication with the blackboard module, operate on specific predefined blackboard objects. The case-based knowledge source module includes cases having past data points on a time scale. Present data is compared with the past data in the cases both on a time scale and on a magnitude scale for determining levels of closeness in time and magnitude. An input data module, in communication with the blackboard module, enables a user to input data to the shell. A control module, in communication with the knowledge source modules and the input data module, receives all input data and controls operation of the knowledge source modules in accordance with a predetermined knowledge source priority scheme.

Case-based knowledge source for artificial intelligence software shell

An artificial intelligence software shell for plant operation simulation includes a blackboard module including a database having objects representing plant elements and concepts. A rule-based knowledge source module and a case-based knowledge source module, in communication with the blackboard module, operate on specific predefined blackboard objects. An input data module, in communication with the blackboard module, enables a user to input data to the shell. A control module, in communication with the knowledge source modules and the input data module, receives all input data and controls operation of the knowledge source modules in accordance with a predetermined knowledge source interruptibility/priority scheme. The control module including an event detector module having a hash table defined by a chaining algorithm.

Interruptibility/priority control scheme for artificial intelligence

An artificial intelligence software shell for plant operation simulation includes a blackboard module including a database having objects representing plant elements and concepts. A rule-based knowledge source module or a case-based knowledge source module, in communication with the blackboard module, operate on specific predefined blackboard objects. An input data module, in communication with the blackboard module, enables a user to input data to the shell. A control module, in communication with the knowledge source modules and the input data module, receives all input data and controls operation of the knowledge source modules in accordance with a predetermined knowledge source priority scheme. The control module including an event detector module having a message evaluator that checks messages for syntax errors before searching a hash table structure in the event detector.

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Pittsburgh, PA, United States of America

Brian A Schultz