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Benjamin Grosof Phones & Addresses

  • 5 Wembley Ln, Mercer Island, WA 98040 (206) 232-3214
  • 121 Parker St, Newton Highlands, MA 02461 (617) 964-3026
  • Newton, MA
  • Denver, CO
  • New York, NY
  • 301 Post Rd E, Westport, CT 06880
  • Newton Hlds, MA
  • Kiona, WA
  • Stamford, CT

Work

Position: Clerical/White Collar

Education

Degree: Associate degree or higher

Public records

Vehicle Records

Benjamin Grosof

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Address:
5 Wembley Ln, Mercer Island, WA 98040
VIN:
JNKBV61F08M267349
Make:
INFINITI
Model:
G35
Year:
2008

Publications

Us Patents

Conflict-Handling Assimilator Service For Exchange Of Rules With Merging

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US Patent:
6910028, Jun 21, 2005
Filed:
Jul 27, 2001
Appl. No.:
09/916943
Inventors:
Hoi Yeung Chan - Stamford CT, US
Benjamin N. Grosof - Newton MA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06N005/02
US Classification:
706 47, 706 14, 706 12
Abstract:
A system and method for merging two rulesets provided in rule-based systems associated with originating applications executing at different locations, each ruleset comprising rules in potential conflict with each other, and each ruleset being in a different rule format. The rulesets to be merged are communicated to an assimilator service provided with a merge policy comprising a set of specifications of partially-ordered priorities and/or mutual-exclusion constraints. The rulesets are translated into a common core representation capable of being implemented in any logic program rule engine provided in a rule-based application at any location. The rulesets are assimilated to produce a new merged ruleset comprising logic required for resolving potential conflicts among rules in accordance with the merge policy that is implemented in any logic program rule engine provided at any location. The new merged ruleset is then translated into one of the originating application's rule format.

Flexible Procedural Attachment To Situate Reasoning Systems

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US Patent:
57781508, Jul 7, 1998
Filed:
Jul 1, 1996
Appl. No.:
8/673880
Inventors:
Hoi Yeung Chan - Stamford CT
Benjamin Nathan Grosof - New York NY
David William Levine - New York NY
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 1518
US Classification:
395 10
Abstract:
The method of the invention enables the situating of reasoning engines which have the capability to store premises as knowledge representation expressions, as well as to conclude knowledge representation expressions and/or to evaluate (or test), knowledge representation expressions and/or to respond to delivered directive events that request the engine to perform reasoning. The result of the method is a situated reasoning system which extends the given reasoning engine's functionality by augmenting it with procedural attachments, using zero or more provided attached procedures. This extension of functionality permits especially the capabilities for sensing and/or effecting and/or responding to delivered directive events. The method permits attachment of the attached procedures to be dynamic or static. The method permits the given reasoning engine to be any of a variety of kinds, corresponding to variety of knowledge representations combined with a variety of control strategies: The invention further gives a method for inter-communication between multiple situated reasoning systems.

Determination Of A Response To A Query

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US Patent:
20200026770, Jan 23, 2020
Filed:
Jul 17, 2018
Appl. No.:
16/037856
Inventors:
- Dublinn 4, IE
Benjamin Nathan Grosof - Mercer Island WA, US
Madhura Shivaram - Bangalore, IN
Guanglei Xiong - Pleasanton CA, US
Colin Connors - Campbell CA, US
Kyle Patrick Johnson - San Francisco CA, US
Emmanuel Munguia Tapia - San Jose CA, US
Mingzhu Lu - San Jose CA, US
Tsunghan Wu - Seattle WA, US
Neeru Narang - San Jose CA, US
Sukryool Kang - Sunnyvale CA, US
Kayhan Moharreri - San Jose CA, US
Assignee:
ACCENTURE GLOBAL SOLUTIONS LIMITED - Dublin 4
International Classification:
G06F 17/30
G06F 17/27
Abstract:
A system for determining a response to a query includes a receiver to receive a query along with a plurality of potential responses to the query. A detector detects a topic and a type of the query based on information extracted from text and structure. Further, a selector selects at least one of a plurality of techniques for processing the query and the plurality of potential responses, based on the topic and the type of the query. An obtainer obtains an answer by execution of each of the selected techniques for processing the query and the plurality of potential responses along with an associated confidence score. A determinator determines one of obtained answers as a correct response to the query, based on a comparison between confidence scores associated with the answers.

Ontology And Rule Based Adjudication

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US Patent:
20190244121, Aug 8, 2019
Filed:
Jul 17, 2018
Appl. No.:
16/037807
Inventors:
- Dublin 4, IE
Guanglei Xiong - Pleasanton CA, US
Mohammad Ghorbani - Foster City CA, US
Emmanuel Munguia Tapia - San Jose CA, US
Sukryool Kang - Sunnyvale CA, US
Benjamin Nathan Grosof - Mercer Island WA, US
Ashish Jain - Chennai, IN
Colin Connors - Campbell CA, US
Assignee:
ACCENTURE GLOBAL SOLUTIONS LIMITED - Dublin 4
International Classification:
G06N 5/04
Abstract:
In an example, an ontology analyzer may generate an ontology, based on a claim adjudication request. The claim adjudication request may be processed, based on the ontology to provide an ontology based inference. A rule based analyzer may identify a predefined rule corresponding to the claim adjudication request and process the request, based on the predefined rule. A conflict resolver may resolve a conflict which may occur between the ontology based inference and the rule based inference. When a conflict is detected, a predefined criteria may be selected for resolving the conflict, the predefined criteria comprising rules to select one of the ontology based inference and the rule based inference to maximize a probability of accurately processing the claim adjudication request in case of a conflict.

Explainable Artificial Intelligence

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US Patent:
20190244122, Aug 8, 2019
Filed:
Jun 26, 2018
Appl. No.:
16/019120
Inventors:
- Dublin 4, IE
Guanglei XIONG - Pleasanton CA, US
Ashish JAIN - Chennai, IN
Emmanuel MUNGUIA TAPIA - San Jose CA, US
Sukryool KANG - Sunnyvale CA, US
Benjamin Nathan GROSOF - Mercer Island WA, US
Assignee:
ACCENTURE GLOBAL SOLUTIONS LIMITED - Dublin 4
International Classification:
G06N 5/04
Abstract:
Examples of artificial intelligence-based reasoning explanation are described. In an example implementation, a knowledge model having a plurality of ontologies and a plurality of inferencing rules is generated. Once the knowledge model is generated, based on a real-world problem, a knowledge model from amongst various knowledge models is selected to be used for resolving a real-world problem. The data procured from the real-world problem is clustered and classified into an ontology of the determined knowledge model. Inferencing rules to be used for deconstructing the real-world problem are identified, and a machine reasoning is generated to provide a hypothesis for the problem and an explanation to accompany the hypothesis.

Data Translation

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US Patent:
20190244300, Aug 8, 2019
Filed:
Feb 2, 2018
Appl. No.:
15/887813
Inventors:
- Dublin, IE
Guanglei XIONG - Pleasanton CA, US
Sukryool KANG - Sunnyvale CA, US
Ashish JAIN - Chennai, IN
Colin CONNORS - Campbell CA, US
Benjamin Nathan GROSOF - Mercer Island WA, US
Neeru NARANG - San Jose CA, US
Assignee:
ACCENTURE GLOBAL SOLUTIONS LIMITED - Dublin
International Classification:
G06Q 40/08
G06F 17/30
G06N 99/00
Abstract:
A classifier receives policy data corresponding to a new policy. Further, the classifier processes the policy data to classify the policy data into an obligation class and an informational class. An information extractor then extracts metadata from the policy data that is classified into the obligation class. Subsequently, a data translator determines if there is an incremental change in the policy data based on a comparison of the policy data with policy data corresponding to existing policies. On determining the incremental change in the policy data, the data translator translates the policy data that is classified into the obligation class into a rule based on the metadata. A rules engine then receives the rule from the data translator for claims adjudication.

Outcome Driven Case Management

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US Patent:
20190005590, Jan 3, 2019
Filed:
Jun 30, 2017
Appl. No.:
15/640223
Inventors:
- Dublin, IE
Suraj Govind JADHAV - Mumbai IN, US
Saurabh MAHADIK - Mumbai, IN
Prakash GHATAGE - Bangalore, IN
Guanglei XIONG - Fremont CA, US
Emmanuel MUNGUIA TAPIA - Newark CA, US
Mohammad Jawad GHORBANI - Foster City CA, US
Kyle JOHNSON - San Francsico CA, US
Colin Patrick CONNORS - Campbell CA, US
Benjamin Nathan GROSOF - Mercer Island WA, US
International Classification:
G06Q 40/00
Abstract:
A system for orchestrating an operation is disclosed. The system includes an case orchestration engine to identify a discrepancy in the operation, and to generate a plurality of hypotheses for resolving the discrepancy. The case orchestration engine further collects evidence pertaining to the discrepancy in the operation, evaluates each of the plurality of hypotheses based on a dialogue-driven feedback received from a user, and selects one of the plurality of hypotheses for resolving the discrepancy based on the evidence and an expected outcome of the operation. The case orchestration engine provides reasons for the discrepancy along with remedial measures for resolving the discrepancy based on the selected hypothesis, and then generates a plan for performing the operation to achieve the expected outcome based on the remedial measures.
Benjamin N Grosof from Mercer Island, WA, age ~64 Get Report