Michael S Mcnally

US Patent:

7296007, Nov 13, 2007

Filed:

Jul 6, 2004

Appl. No.:

10/885495

Inventors:

John Funge - Sunnyvale CA, US
Ron Musick - Belmont CA, US
Daniel Dobson - Atherton CA, US
Nigel Duffy - San Francisco CA, US
Michael McNally - Cupertino CA, US
Xiaoyuan Tu - Sunnyvale CA, US
Ian Wright - Mountain View CA, US
Wei Yen - Los Altos Hills CA, US
Brian Cabral - San Jose CA, US

Assignee:

AiLive, Inc. - Mountain View CA

International Classification:

G06F 17/00
G06N 5/00

US Classification:

706 47, 434350, 345156, 706 45

Abstract:

Providing dynamic learning for software agents in a simulation. Software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to the player character. The game designer provides program code, from which compile-time steps determine a set of raw features. The code might identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, might be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features.

US Patent:

7558698, Jul 7, 2009

Filed:

Aug 3, 2007

Appl. No.:

11/890262

Inventors:

John Funge - Sunnyvale CA, US
Ron Musick - Belmont CA, US
Daniel Dobson - Atherton CA, US
Nigel Duffy - San Francisco CA, US
Michael McNally - San Jose CA, US
Xiaoyuan Tu - Sunnyvale CA, US
Ian Wright - Mountain View CA, US
Wei Yen - Los Altos Hills CA, US
Brian Cabral - San Jose CA, US

Assignee:

AiLive, Inc. - Mountain View CA

International Classification:

G06G 7/00

US Classification:

702179, 706 12, 706 20, 706 46, 706 50, 707100, 707102

Abstract:

A system including at least specialized elements that are restricted to a particular domain of data analysis or processing and configurable data that permits the specialized elements to be tailored to a particular application. The configurable data expands applicability of the specialized elements to plural applications within the particular domain. The specialized elements can be provided by a supplier to a developer without the supplier having detailed knowledge of structures and internal operations used by the particular application. The particular application can be generated by the developer without the developer having detailed knowledge of internal operations used by the specialized elements.

US Patent:

7636701, Dec 22, 2009

Filed:

Oct 30, 2007

Appl. No.:

11/929170

Inventors:

John Funge - Sunnyvale CA, US
Ron Musick - Belmont CA, US
Daniel Dobson - Atherton CA, US
Nigel Duffy - San Francisco CA, US
Michael McNally - San Jose CA, US
Xiaoyuan Tu - Sunnyvale CA, US
Ian Wright - Mountain View CA, US
Wei Yen - Los Altos Hills CA, US
Brian Cabral - San Jose CA, US

Assignee:

AiLive, Inc. - Mountain View CA

International Classification:

G06N 5/00

US Classification:

706 47, 706 45

Abstract:

Providing dynamic learning for software agents in a simulation is described. The software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to a player character. A game designer provides program code, from which compile-time steps determine a set of raw features. The code may identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, may be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features.

US Patent:

7797274, Sep 14, 2010

Filed:

Dec 12, 2007

Appl. No.:

11/955188

Inventors:

William D. Strathearn - Fremont CA, US
Michael David McNally - San Jose CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 17/30

US Classification:

707609, 715229

Abstract:

A collaborative editing model for online content is described. A set of suggested edits to a version of the online content is received from multiple users. Each suggested edit in the set relates to the same version. The set of suggested edits is provided to an authorized editor, who is visually notified of differences between the version of the content and the suggested edits and conflicts existing between two or more suggested edits. Input is received from the editor resolving conflicts and accepting or rejecting suggested edits in the set. The first version of the content is modified accordingly to generate a second version of the content. Suggested edits from the set that were not accepted nor rejected and are not in conflict with the second version are carried over and can remain pending with respect to the second version.

US Patent:

8073811, Dec 6, 2011

Filed:

Aug 23, 2010

Appl. No.:

12/861372

Inventors:

William D. Strathearn - Fremont CA, US
Michael David McNally - Scotts Valley CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 17/30

US Classification:

707608, 715223, 715229

Abstract:

A collaborative editing model for online content is described. A set of suggested edits to a version of the online content is received from multiple users. Each suggested edit in the set relates to the same version. The set of suggested edits is provided to an authorized editor, who is visually notified of differences between the version of the content and the suggested edits and conflicts existing between two or more suggested edits. Input is received from the editor resolving conflicts and accepting or rejecting suggested edits in the set. The first version of the content is modified accordingly to generate a second version of the content. Suggested edits from the set that were not accepted nor rejected and are not in conflict with the second version are carried over and can remain pending with respect to the second version.

US Patent:

8291492, Oct 16, 2012

Filed:

Dec 11, 2008

Appl. No.:

12/333130

Inventors:

Michael David McNally - San Jose CA, US
Nathan Stoll - San Francisco CA, US
Scott Barta - Milpitas CA, US
Krishna Bharat - Palo Alto CA, US
Ming Lei - Fremont CA, US
Justin Lawyer - Palo Alto CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 7/04
G06F 12/00
G06F 12/14
G06F 13/00
G06F 17/30
G06F 15/16
G11C 7/00
H04L 29/06
G06Q 30/00

US Classification:

726 21, 726 4, 726 17, 705 142

Abstract:

Methods, computer program products and systems are described for online-content management. Online content from multiple contributors is received at one or more first computers for public online display. An authentication score is determined for a contributor of the multiple contributors. The contributor's name and a representation of the contributor's authentication score is published online for display on one or more second computers in association with the online content received from the contributor.

US Patent:

7263462, Aug 28, 2007

Filed:

Jan 14, 2005

Appl. No.:

11/036975

Inventors:

John Funge - Sunnyvale CA, US
Ron Musick - Belmont CA, US
Daniel Dobson - Atherton CA, US
Nigel Duffy - San Francisco CA, US
Michael McNally - Cupertino CA, US
Xiaoyuan Tu - Sunnyvale CA, US
Ian Wright - Mountain View CA, US
Wei Yen - Los Altos Hills CA, US
Brian Cabral - San Jose CA, US

Assignee:

AiLive, Inc. - Palo Alto CA

International Classification:

G06G 7/00

US Classification:

702179, 706 20, 706 46, 706 47, 706 50, 707100, 707102

Abstract:

A system including at least (1) specialized elements that are restricted to a particular domain of data analysis or processing and (2) configurable data that permits the specialized elements to be tailored to a particular application. The configurable data expands applicability of the specialized elements to plural applications within the particular domain. The specialized elements can be provided by a supplier to a developer without the supplier having detailed knowledge of structures and internal operations used by the particular application. The particular application can be generated by the developer without the developer having detailed knowledge of internal operations used by the specialized elements.