MXPA01007653A - Metodo para simulacion de respuesta humana a estimulo. - Google Patents

Metodo para simulacion de respuesta humana a estimulo.

Info

Publication number
MXPA01007653A
MXPA01007653A MXPA01007653A MXPA01007653A MXPA01007653A MX PA01007653 A MXPA01007653 A MX PA01007653A MX PA01007653 A MXPA01007653 A MX PA01007653A MX PA01007653 A MXPA01007653 A MX PA01007653A MX PA01007653 A MXPA01007653 A MX PA01007653A
Authority
MX
Mexico
Prior art keywords
simulation
customer
stimulus
outcomes
development
Prior art date
Application number
MXPA01007653A
Other languages
English (en)
Inventor
Douglas B Hall
Original Assignee
Richard Saunders Internat
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 Richard Saunders Internat filed Critical Richard Saunders Internat
Publication of MXPA01007653A publication Critical patent/MXPA01007653A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/12—Computing arrangements based on biological models using genetic models
    • G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G06N5/022—Knowledge engineering; Knowledge acquisition
    • G06N5/025—Extracting rules from data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0202—Market predictions or forecasting for commercial activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0276—Advertisement creation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Accounting & Taxation (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Artificial Intelligence (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Game Theory and Decision Science (AREA)
  • Computational Linguistics (AREA)
  • Economics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biomedical Technology (AREA)
  • Algebra (AREA)
  • Pure & Applied Mathematics (AREA)
  • Physiology (AREA)
  • Genetics & Genomics (AREA)
  • Computational Mathematics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Se proporciona un metodo para simular la reaccion del cliente a estimulo con base en resultados historicos observables de clientes. Las modalidades de la invencion describen una serie de pasos que cuando se toman juntos, alcanzan un resultado de prediccion de la simulacion del cliente de una pluralidad de entradas de fuente sin premisas anteriores de relacion entre entradas y resultados simulados. La invencion comprende una serie de pasos que efectua la construccion del modelo de simulacion a partir del cual se hacen los resultados de prediccion del cliente. Los diversos marcos requeridos para crear el modelo de simulacion preferido incluyen: desarrollo de base de datos del cliente, desarrollo de arquetipos del estimulo, desarrollo de datos de modelo, construccion de modelo, simulacion de reaccion futura del cliente y cursos de accion sugeridos con base en los resultados de la simulacion.
MXPA01007653A 1999-01-27 2000-01-27 Metodo para simulacion de respuesta humana a estimulo. MXPA01007653A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11741399P 1999-01-27 1999-01-27
PCT/US2000/002195 WO2000045317A2 (en) 1999-01-27 2000-01-27 Method for simulation of human response to stimulus

Publications (1)

Publication Number Publication Date
MXPA01007653A true MXPA01007653A (es) 2003-06-24

Family

ID=22372794

Family Applications (1)

Application Number Title Priority Date Filing Date
MXPA01007653A MXPA01007653A (es) 1999-01-27 2000-01-27 Metodo para simulacion de respuesta humana a estimulo.

Country Status (13)

Country Link
US (3) US20030225786A1 (es)
EP (1) EP1228457A2 (es)
JP (1) JP2003524221A (es)
KR (1) KR20010101736A (es)
CN (1) CN1630866A (es)
AU (1) AU780078B2 (es)
BR (1) BR0007786A (es)
CA (1) CA2359693A1 (es)
EA (1) EA200100803A2 (es)
IL (1) IL144524A0 (es)
MX (1) MXPA01007653A (es)
WO (1) WO2000045317A2 (es)
ZA (1) ZA200106157B (es)

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Also Published As

Publication number Publication date
JP2003524221A (ja) 2003-08-12
ZA200106157B (en) 2002-06-20
CN1630866A (zh) 2005-06-22
EP1228457A2 (en) 2002-08-07
CA2359693A1 (en) 2000-08-03
EA200100803A2 (ru) 2002-12-26
WO2000045317A2 (en) 2000-08-03
US20070011122A1 (en) 2007-01-11
WO2000045317A8 (en) 2002-06-06
BR0007786A (pt) 2002-05-07
KR20010101736A (ko) 2001-11-14
US20090043719A1 (en) 2009-02-12
AU3352600A (en) 2000-08-18
AU780078B2 (en) 2005-02-24
US20030225786A1 (en) 2003-12-04
IL144524A0 (en) 2002-05-23

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