Patents by Inventor Octavian Udrea
Octavian Udrea has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11727289Abstract: A method for improving performance of at least one hardware processor solving a top-k planning problem includes obtaining, in a memory coupled to the at least one processor, a specification of the planning problem in a planning language; obtaining, in a first iteration carried out by the at least one processor, at least one solution to the planning problem; and modifying the planning problem, in the first iteration carried out by the at least one processor, to forbid the at least one solution. The method further includes repeating, by the at least one processor, the obtaining of the at least one solution and the modifying to forbid the at least one solution, for a plurality of additional iterations, after the first iteration, until a desired number, k, of solutions to the planning problem are found or until no further solutions exist, whichever comes first.Type: GrantFiled: May 4, 2018Date of Patent: August 15, 2023Assignee: International Business Machines CorporationInventors: Michael Katz, Shirin Sohrabi Araghi, Octavian Udrea
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Publication number: 20220300852Abstract: Embodiments are provided that relate to a computer system, a computer program product, and a computer-implemented method for automating scenario planning. Embodiments involve machine learning (ML) and an artificial intelligence (AI) planner to capture a general scenario planning (GSP) problem and provide a solution to the GSP problem in the form of trajectories.Type: ApplicationFiled: March 22, 2021Publication date: September 22, 2022Applicant: International Business Machines CorporationInventors: Octavian Udrea, Shirin Sohrabi Araghi, Michael Katz, Mark David Feblowitz, Kavitha Srinivas, Oktie Hassanzadeh
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Publication number: 20220188691Abstract: The present disclosure includes a computer implemented method, system, and computer program product for automated generation of trained machine learning models and a machine learning model created using the method. The method may comprise receiving a space of possible automatically generated trained machine learning model pipelines, the space defined by a context-free grammar, generating, by a processor, a planning model from the context-free grammar, and automatically generating, by the processor, a plurality of candidate trained machine learning pipelines based upon the planning model.Type: ApplicationFiled: December 11, 2020Publication date: June 16, 2022Inventors: Michael Katz, Parikshit Ram, Shirin Sohrabi Araghi, Octavian Udrea
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Patent number: 11237933Abstract: Techniques for solving a multi-agent plan recognition problem are provided. In one example, a computer-implemented method comprises transforming, by a device operatively coupled to a processor, a problem model and an at least partially ordered sequence of observations into an artificial intelligence planning problem through a transform algorithm. The problem model can comprises a domain description from a plurality of agents and a durative action. Furthermore, at least one of the observations of the at least partially ordered sequence of observations can be a condition that changes over time. The computer-implemented method further comprises determining, by the device, plan information using an artificial intelligence planner on the artificial intelligence planning problem. The computer-implemented method further comprises translating, by the device, the plan information into information indicative of a solution to the artificial intelligence planning problem.Type: GrantFiled: December 14, 2017Date of Patent: February 1, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Anton V. Riabov, Shirin Sohrabi Araghi, Octavian Udrea
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Patent number: 11107182Abstract: Techniques for translating graphical representations of domain knowledge are provided. In one example, a computer-implemented method comprises receiving, by a device operatively coupled to a processor, a graphical representation of domain knowledge. The graphical representation comprises information indicative of a central concept and at least one chain of events associated with the central concept. The computer-implemented method further comprises translating, by the device, the graphical representation into an artificial intelligence planning problem. The artificial intelligence planning problem is expressed in an artificial intelligence description language. The translating comprises parsing the graphical representation into groupings of terms. A first grouping of terms of the grouping of terms comprises an event from the at least one chain of events and a second grouping of terms of the grouping of terms comprises the information indicative of the central concept.Type: GrantFiled: December 17, 2019Date of Patent: August 31, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Anton V. Riabov, Shirin Sohrabi Araghi, Octavian Udrea
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Patent number: 11030561Abstract: Techniques for scenario planning are provided. In one example, a computer-implemented method can comprise analyzing, by a device operatively coupled to a processor, content using a topic model. The content can be associated with a defined source and is related to one or more current events. The computer-implemented method can also comprise determining, by the device, one or more portions of the analyzed content that are relevant to one or more key risk drivers using a risk driver model. The computer-implemented method can also comprise aggregating, by the device, the determined one or more portions into one or more emerging storylines based on values of one or more attributes of the topic model.Type: GrantFiled: December 14, 2017Date of Patent: June 8, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Yuan-Chi Chang, Mark D. Feblowitz, Nagui Halim, Stuart S. Horn, Edward J. Pring, Anton V. Riabov, Edward W. Shay, Shirin Sohrabi Araghi, Deepak S. Turaga, Octavian Udrea, Fang Yuan, Peter Zimmer
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Patent number: 11023840Abstract: Techniques for scenario planning are provided. In one example, a computer-implemented method can comprise analyzing, by a device operatively coupled to a processor, content using a topic model. The content can be associated with a defined source and is related to one or more current events. The computer-implemented method can also comprise determining, by the device, one or more portions of the analyzed content that are relevant to one or more key risk drivers using a risk driver model. The computer-implemented method can also comprise aggregating, by the device, the determined one or more portions into one or more emerging storylines based on values of one or more attributes of the topic model.Type: GrantFiled: January 27, 2017Date of Patent: June 1, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Yuan-Chi Chang, Mark D. Feblowitz, Nagui Halim, Stuart S. Horn, Edward J. Pring, Anton V. Riabov, Edward W. Shay, Shirin Sohrabi Araghi, Deepak S. Turaga, Octavian Udrea, Fang Yuan, Peter Zimmer
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Publication number: 20210004741Abstract: Embodiments are provided for providing top-K quality plans streaming applications in a computing environment. A set of top-K quality plans using a quality bound for a planning problem. The planning problem may be reformulated in one or more subsequent iterations and forbidding use one or more of the set of top-K quality plans. Identifying one or more of the set top-K quality plans having a quality less than the quality bound during the one or more subsequent iterations.Type: ApplicationFiled: July 1, 2019Publication date: January 7, 2021Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Michael KATZ, Octavian UDREA, Shirin SOHRABI ARAGHI
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Patent number: 10885449Abstract: A mechanism is provided for computing a solution to a plan recognition problem. The plan recognition problem includes the model and a partially ordered sequence of observations or traces. The plan recognition is transformed into an AI planning problem such that a planner can be used to compute a solution to it. The approach is general. It addresses unreliable observations: missing observations, noisy observations (or observations that need to be discarded), and ambiguous observations). The approach does not require plan libraries or a possible set of goals. A planner can find either one solution to the resulting planning problem or multiple ranked solutions, which maps to the most plausible solution to the original problem.Type: GrantFiled: October 31, 2019Date of Patent: January 5, 2021Assignee: International Business Machines CorporationInventors: Anton Viktorovich Riabov, Shirin Sohrabi Araghi, Octavian Udrea
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Patent number: 10831629Abstract: Techniques for solving a multi-agent plan recognition problem are provided. In one example, a computer-implemented method comprises transforming, by a device operatively coupled to a processor, a problem model and an at least partially ordered sequence of observations into an artificial intelligence planning problem through a transform algorithm. The problem model can comprises a domain description from a plurality of agents and a durative action. Furthermore, at least one of the observations of the at least partially ordered sequence of observations can be a condition that changes over time. The computer-implemented method further comprises determining, by the device, plan information using an artificial intelligence planner on the artificial intelligence planning problem. The computer-implemented method further comprises translating, by the device, the plan information into information indicative of a solution to the artificial intelligence planning problem.Type: GrantFiled: January 27, 2017Date of Patent: November 10, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Anton V. Riabov, Shirin Sohrabi Araghi, Octavian Udrea
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Patent number: 10783441Abstract: In at least one embodiment, a method and a system for determining a set of plans that best match a set of preferences. The method may include receiving into a goal specification interface at least one goal to be accomplished by the set of plans; receiving into a preference engine a pattern that includes preferences; generating a planning problem by using the preference engine; generating a set of plans by at least one planner; and providing the set of plans for selection of one plan to deploy. In a further embodiment, the preferences may be an occurrence or non-occurrence of at least one component, an occurrence of one component over another component, an ordering between at least two components, an existence or non-existence of at least one tag in a final stream, an existence of one tag over another tag in the final stream.Type: GrantFiled: April 11, 2017Date of Patent: September 22, 2020Assignee: International Business Machines CorporationInventors: Anton V. Riabov, Shirin Sohrabi Araghi, Octavian Udrea
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Publication number: 20200160483Abstract: Techniques for translating graphical representations of domain knowledge are provided. In one example, a computer-implemented method comprises receiving, by a device operatively coupled to a processor, a graphical representation of domain knowledge. The graphical representation comprises information indicative of a central concept and at least one chain of events associated with the central concept. The computer-implemented method further comprises translating, by the device, the graphical representation into an artificial intelligence planning problem. The artificial intelligence planning problem is expressed in an artificial intelligence description language. The translating comprises parsing the graphical representation into groupings of terms. A first grouping of terms of the grouping of terms comprises an event from the at least one chain of events and a second grouping of terms of the grouping of terms comprises the information indicative of the central concept.Type: ApplicationFiled: December 17, 2019Publication date: May 21, 2020Inventors: Anton V. Riabov, Shirin Sohrabi Araghi, Octavian Udrea
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Publication number: 20200065687Abstract: A mechanism is provided for computing a solution to a plan recognition problem. The plan recognition problem includes the model and a partially ordered sequence of observations or traces. The plan recognition is transformed into an AI planning problem such that a planner can be used to compute a solution to it. The approach is general. It addresses unreliable observations: missing observations, noisy observations (or observations that need to be discarded), and ambiguous observations). The approach does not require plan libraries or a possible set of goals. A planner can find either one solution to the resulting planning problem or multiple ranked solutions, which maps to the most plausible solution to the original problem.Type: ApplicationFiled: October 31, 2019Publication date: February 27, 2020Inventors: Anton Viktorovich RIABOV, Shirin SOHRABI ARAGHI, Octavian UDREA
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Patent number: 10572968Abstract: Techniques for translating graphical representations of domain knowledge are provided. In one example, a computer-implemented method comprises receiving, by a device operatively coupled to a processor, a graphical representation of domain knowledge. The graphical representation comprises information indicative of a central concept and at least one chain of events associated with the central concept. The computer-implemented method further comprises translating, by the device, the graphical representation into an artificial intelligence planning problem. The artificial intelligence planning problem is expressed in an artificial intelligence description language. The translating comprises parsing the graphical representation into groupings of terms. A first grouping of terms of the grouping of terms comprises an event from the at least one chain of events and a second grouping of terms of the grouping of terms comprises the information indicative of the central concept.Type: GrantFiled: March 7, 2019Date of Patent: February 25, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Anton V. Riabov, Shirin Sohrabi Araghi, Octavian Udrea
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Patent number: 10559058Abstract: Techniques for translating graphical representations of domain knowledge are provided. In one example, a computer-implemented method comprises receiving, by a device operatively coupled to a processor, a graphical representation of domain knowledge. The graphical representation comprises information indicative of a central concept and at least one chain of events associated with the central concept. The computer-implemented method further comprises translating, by the device, the graphical representation into an artificial intelligence planning problem. The artificial intelligence planning problem is expressed in an artificial intelligence description language. The translating comprises parsing the graphical representation into groupings of terms. A first grouping of terms of the grouping of terms comprises an event from the at least one chain of events and a second grouping of terms of the grouping of terms comprises the information indicative of the central concept.Type: GrantFiled: March 8, 2019Date of Patent: February 11, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Anton V. Riabov, Shirin Sohrabi Araghi, Octavian Udrea
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Patent number: 10552749Abstract: A mechanism is provided for computing a solution to a plan recognition problem. The plan recognition problem includes the model and a partially ordered sequence of observations or traces. The plan recognition is transformed into an AI planning problem such that a planner can be used to compute a solution to it. The approach is general. It addresses unreliable observations: missing observations, noisy observations (or observations that need to be discarded), and ambiguous observations). The approach does not require plan libraries or a possible set of goals. A planner can find either one solution to the resulting planning problem or multiple ranked solutions, which maps to the most plausible solution to the original problem.Type: GrantFiled: December 8, 2015Date of Patent: February 4, 2020Assignee: International Business Machines CorporationInventors: Anton Viktorovich Riabov, Shirin Sohrabi Araghi, Octavian Udrea
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Publication number: 20200027191Abstract: Techniques for translating graphical representations of domain knowledge are provided. In one example, a computer-implemented method comprises receiving, by a device operatively coupled to a processor, a graphical representation of domain knowledge. The graphical representation comprises information indicative of a central concept and at least one chain of events associated with the central concept. The computer-implemented method further comprises translating, by the device, the graphical representation into an artificial intelligence planning problem. The artificial intelligence planning problem is expressed in an artificial intelligence description language. The translating comprises parsing the graphical representation into groupings of terms. A first grouping of terms of the grouping of terms comprises an event from the at least one chain of events and a second grouping of terms of the grouping of terms comprises the information indicative of the central concept.Type: ApplicationFiled: March 8, 2019Publication date: January 23, 2020Inventors: Anton V. Riabov, Shirin Sohrabi Araghi, Octavian Udrea
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Publication number: 20190340525Abstract: A method for improving performance of at least one hardware processor solving a top-k planning problem includes obtaining, in a memory coupled to the at least one processor, a specification of the planning problem in a planning language; obtaining, in a first iteration carried out by the at least one processor, at least one solution to the planning problem; and modifying the planning problem, in the first iteration carried out by the at least one processor, to forbid the at least one solution. The method further includes repeating, by the at least one processor, the obtaining of the at least one solution and the modifying to forbid the at least one solution, for a plurality of additional iterations, after the first iteration, until a desired number, k, of solutions to the planning problem are found or until no further solutions exist, whichever comes first.Type: ApplicationFiled: May 4, 2018Publication date: November 7, 2019Inventors: Michael KATZ, Shirin SOHRABI ARAGHI, Octavian UDREA
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Publication number: 20190206021Abstract: Techniques for translating graphical representations of domain knowledge are provided. In one example, a computer-implemented method comprises receiving, by a device operatively coupled to a processor, a graphical representation of domain knowledge. The graphical representation comprises information indicative of a central concept and at least one chain of events associated with the central concept. The computer-implemented method further comprises translating, by the device, the graphical representation into an artificial intelligence planning problem. The artificial intelligence planning problem is expressed in an artificial intelligence description language. The translating comprises parsing the graphical representation into groupings of terms. A first grouping of terms of the grouping of terms comprises an event from the at least one chain of events and a second grouping of terms of the grouping of terms comprises the information indicative of the central concept.Type: ApplicationFiled: March 7, 2019Publication date: July 4, 2019Inventors: Anton V. Riabov, Shirin Sohrabi Araghi, Octavian Udrea
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Patent number: 10242425Abstract: Techniques for translating graphical representations of domain knowledge are provided. In one example, a computer-implemented method comprises receiving, by a device operatively coupled to a processor, a graphical representation of domain knowledge. The graphical representation comprises information indicative of a central concept and at least one chain of events associated with the central concept. The computer-implemented method further comprises translating, by the device, the graphical representation into an artificial intelligence planning problem. The artificial intelligence planning problem is expressed in an artificial intelligence description language. The translating comprises parsing the graphical representation into groupings of terms. A first grouping of terms of the grouping of terms comprises an event from the at least one chain of events and a second grouping of terms of the grouping of terms comprises the information indicative of the central concept.Type: GrantFiled: December 14, 2017Date of Patent: March 26, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Anton V. Riabov, Shirin Sohrabi Araghi, Octavian Udrea