MX2019008497A - Toma de acciones basadas en grafico fisico. - Google Patents

Toma de acciones basadas en grafico fisico.

Info

Publication number
MX2019008497A
MX2019008497A MX2019008497A MX2019008497A MX2019008497A MX 2019008497 A MX2019008497 A MX 2019008497A MX 2019008497 A MX2019008497 A MX 2019008497A MX 2019008497 A MX2019008497 A MX 2019008497A MX 2019008497 A MX2019008497 A MX 2019008497A
Authority
MX
Mexico
Prior art keywords
physical
actions
agent
graph
action based
Prior art date
Application number
MX2019008497A
Other languages
English (en)
Inventor
Mital Vijay
Original Assignee
Microsoft Technology Licensing Llc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Microsoft Technology Licensing Llc filed Critical Microsoft Technology Licensing Llc
Publication of MX2019008497A publication Critical patent/MX2019008497A/es

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/53Querying
    • G06F16/532Query formulation, e.g. graphical querying
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures
    • G06F16/9024Graphs; Linked lists
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models
    • G06N5/045Explanation of inference; Explainable artificial intelligence [XAI]; Interpretable artificial intelligence
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/28Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803Home automation networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/004Artificial life, i.e. computing arrangements simulating life
    • G06N3/006Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223Execution procedure of a spoken command

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Acoustics & Sound (AREA)
  • Artificial Intelligence (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Automation & Control Theory (AREA)
  • User Interface Of Digital Computer (AREA)
  • Navigation (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Image Analysis (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Pharmaceuticals Containing Other Organic And Inorganic Compounds (AREA)
  • Manipulator (AREA)
  • Life Sciences & Earth Sciences (AREA)

Abstract

La toma de acciones se produce con el uso de un agente que interpreta los comandos (como los comandos de lenguaje natural) de un usuario. El agente responde a los comandos formulando al menos una consulta contra un gráfico físico que representa el estado de una o más entidades físicas dentro de un espacio físico y observando por una pluralidad de sensores. El agente luego usa la consulta o consultas contra el gráfico físico. En respuesta a las repuestas a las mismas, el agente identifica las acciones a realizar. Tales acciones podrían incluir acciones como representar información al usuario y enviar comunicaciones a otros. Sin embargo, las acciones podrían incluso incluir acciones físicas. Por ejemplo, el agente puede incluir un motor de acción física que realiza acciones físicas (como a través de un robot o dron).
MX2019008497A 2017-01-18 2018-01-11 Toma de acciones basadas en grafico fisico. MX2019008497A (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201762447790P 2017-01-18 2017-01-18
US15/436,686 US20180203881A1 (en) 2017-01-18 2017-02-17 Taking action based on physical graph
PCT/US2018/013232 WO2018136280A1 (en) 2017-01-18 2018-01-11 Taking action based on physical graph

Publications (1)

Publication Number Publication Date
MX2019008497A true MX2019008497A (es) 2019-09-10

Family

ID=62841410

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2019008497A MX2019008497A (es) 2017-01-18 2018-01-11 Toma de acciones basadas en grafico fisico.

Country Status (16)

Country Link
US (1) US20180203881A1 (es)
EP (1) EP3571640A1 (es)
JP (1) JP2020505691A (es)
KR (1) KR20190107029A (es)
CN (1) CN110192209A (es)
AU (1) AU2018210202A1 (es)
BR (1) BR112019012808A2 (es)
CA (1) CA3046332A1 (es)
CL (1) CL2019001929A1 (es)
CO (1) CO2019007636A2 (es)
IL (1) IL267900A (es)
MX (1) MX2019008497A (es)
PH (1) PH12019550122A1 (es)
RU (1) RU2019125863A (es)
SG (1) SG11201905466YA (es)
WO (1) WO2018136280A1 (es)

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9230560B2 (en) * 2012-10-08 2016-01-05 Nant Holdings Ip, Llc Smart home automation systems and methods
US9871865B2 (en) * 2013-07-11 2018-01-16 Neura, Inc. Physical environment profiling through internet of things integration platform
CN105659082B (zh) * 2013-10-21 2017-07-28 株式会社岛津制作所 全2维色谱仪用数据处理装置
US9594109B2 (en) * 2014-02-17 2017-03-14 Scadata, Inc. Monitoring system for electrical equipment failure and method
US9542648B2 (en) * 2014-04-10 2017-01-10 Palo Alto Research Center Incorporated Intelligent contextually aware digital assistants
US10154321B2 (en) * 2014-05-26 2018-12-11 Agt International Gmbh System and method for registering sensors used in monitoring-systems
US9547678B2 (en) * 2014-06-17 2017-01-17 Nant Holdings Ip, Llc Activity recognition systems and methods
US10592093B2 (en) * 2014-10-09 2020-03-17 Splunk Inc. Anomaly detection
US20160328522A1 (en) * 2015-05-08 2016-11-10 YC Wellness, Inc. Integration platform and application interfaces for remote data management and security
US11202172B2 (en) * 2015-10-29 2021-12-14 Stratacache Limited System and method for managing indoor positioning data
JP6365554B2 (ja) * 2016-01-14 2018-08-01 マツダ株式会社 運転支援装置
US10313382B2 (en) * 2016-03-29 2019-06-04 The Mitre Corporation System and method for visualizing and analyzing cyber-attacks using a graph model

Also Published As

Publication number Publication date
AU2018210202A1 (en) 2019-07-11
CO2019007636A2 (es) 2019-07-31
PH12019550122A1 (en) 2020-02-10
CL2019001929A1 (es) 2019-11-29
RU2019125863A (ru) 2021-02-19
KR20190107029A (ko) 2019-09-18
BR112019012808A2 (pt) 2019-12-03
JP2020505691A (ja) 2020-02-20
US20180203881A1 (en) 2018-07-19
CN110192209A (zh) 2019-08-30
WO2018136280A1 (en) 2018-07-26
SG11201905466YA (en) 2019-08-27
EP3571640A1 (en) 2019-11-27
CA3046332A1 (en) 2018-07-26
IL267900A (en) 2019-09-26

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