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CO2019007636A2 - Toma de acciones basadas en gráfico físico - Google Patents

Toma de acciones basadas en gráfico físico

Info

Publication number
CO2019007636A2
CO2019007636A2 CONC2019/0007636A CO2019007636A CO2019007636A2 CO 2019007636 A2 CO2019007636 A2 CO 2019007636A2 CO 2019007636 A CO2019007636 A CO 2019007636A CO 2019007636 A2 CO2019007636 A2 CO 2019007636A2
Authority
CO
Colombia
Prior art keywords
physical
actions
agent
commands
actions based
Prior art date
Application number
CONC2019/0007636A
Other languages
English (en)
Inventor
Vijay Mital
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 CO2019007636A2 publication Critical patent/CO2019007636A2/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/53—Querying
    • G06F16/532—Query formulation, e.g. graphical querying
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/901—Indexing; Data structures therefor; Storage structures
    • G06F16/9024—Graphs; Linked lists
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G06N5/045—Explanation of inference; Explainable artificial intelligence [XAI]; Interpretable artificial intelligence
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803—Home automation networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial 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]
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223—Execution procedure of a spoken command

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Automation & Control Theory (AREA)
  • User Interface Of Digital Computer (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Navigation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Image Analysis (AREA)
  • Manipulator (AREA)
  • Pharmaceuticals Containing Other Organic And Inorganic Compounds (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 observado por una pluralidad de sensores. El agente luego usa la consulta o consultas contra el gráfico físico. En respuesta a las respuestas a las mismas, el agente identifica las acciones a realizar. Tales acciones podrían incluir acciones como presentar 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).
CONC2019/0007636A 2017-01-18 2019-07-16 Toma de acciones basadas en gráfico físico CO2019007636A2 (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
CO2019007636A2 true CO2019007636A2 (es) 2019-07-31

Family

ID=62841410

Family Applications (1)

Application Number Title Priority Date Filing Date
CONC2019/0007636A CO2019007636A2 (es) 2017-01-18 2019-07-16 Toma de acciones basadas en gráfico físico

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)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12320636B2 (en) * 2021-08-10 2025-06-03 Xerox Corporation Interacting with machines using natural language input and a state graph

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
JP6048590B2 (ja) * 2013-10-21 2016-12-21 株式会社島津製作所 包括的２次元クロマトグラフ用データ処理装置
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
DE112015002480T5 (de) * 2014-05-26 2017-03-02 Agt International Gmbh System und Verfahren zur Erfassung von in Überwachungssystemen verwendeten Sensoren
WO2015195765A1 (en) * 2014-06-17 2015-12-23 Nant Vision, Inc. Activity recognition systems and methods
US10592093B2 (en) * 2014-10-09 2020-03-17 Splunk Inc. Anomaly detection
US20160328576A1 (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
PH12019550122A1 (en) 2020-02-10
BR112019012808A2 (pt) 2019-12-03
CL2019001929A1 (es) 2019-11-29
RU2019125863A (ru) 2021-02-19
CA3046332A1 (en) 2018-07-26
IL267900A (en) 2019-09-26
JP2020505691A (ja) 2020-02-20
CN110192209A (zh) 2019-08-30
KR20190107029A (ko) 2019-09-18
US20180203881A1 (en) 2018-07-19
SG11201905466YA (en) 2019-08-27
EP3571640A1 (en) 2019-11-27
AU2018210202A1 (en) 2019-07-11
MX2019008497A (es) 2019-09-10
WO2018136280A1 (en) 2018-07-26

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