MX385459B - Bodega de estrategia en la interaccion estrategica entre partes. - Google Patents

Bodega de estrategia en la interaccion estrategica entre partes.

Info

Publication number
MX385459B
MX385459B MX2019012664A MX2019012664A MX385459B MX 385459 B MX385459 B MX 385459B MX 2019012664 A MX2019012664 A MX 2019012664A MX 2019012664 A MX2019012664 A MX 2019012664A MX 385459 B MX385459 B MX 385459B
Authority
MX
Mexico
Prior art keywords
strategy
samples
regret
parties
data store
Prior art date
Application number
MX2019012664A
Other languages
English (en)
Other versions
MX2019012664A (es
Inventor
Hui Li
Kailiang Hu
Le Song
Original Assignee
Advanced New Technologies Co Ltd
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 Advanced New Technologies Co Ltd filed Critical Advanced New Technologies Co Ltd
Publication of MX2019012664A publication Critical patent/MX2019012664A/es
Publication of MX385459B publication Critical patent/MX385459B/es

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Classifications

    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/70—Game security or game management aspects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/45—Controlling the progress of the video game
    • A63F13/47—Controlling the progress of the video game involving branching, e.g. choosing one of several possible scenarios at a given point in time
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/60—Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor
    • A63F13/67—Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor adaptively or by learning from player actions, e.g. skill level adjustment or by storing successful combat sequences for re-use
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/80—Special adaptations for executing a specific game genre or game mode
    • A63F13/822—Strategy games; Role-playing games
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2228—Indexing structures
    • G06F16/2246—Trees, e.g. B+trees
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/042—Knowledge-based neural networks; Logical representations of neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0499—Feedforward networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F1/00—Card games
    • A63F2001/005—Poker
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/60—Methods for processing data by generating or executing the game program
    • A63F2300/63—Methods for processing data by generating or executing the game program for controlling the execution of the game in time
    • A63F2300/632—Methods for processing data by generating or executing the game program for controlling the execution of the game in time by branching, e.g. choosing one of several possible story developments at a given point in time

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Strategic Management (AREA)
  • Educational Administration (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Game Theory and Decision Science (AREA)
  • Marketing (AREA)
  • Databases & Information Systems (AREA)
  • Computer Security & Cryptography (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Cookers (AREA)
  • Filling Or Discharging Of Gas Storage Vessels (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Complex Calculations (AREA)

Abstract

Se describen en la presente métodos, sistemas y aparatos, incluyendo programas de computadora codificados en medios de almacenamiento por computadora, para realizar la minimización del remordimiento contrafactual (CRF) para la búsqueda de la estrategia en la iteración estratégica entre dos o más partes. Uno de los métodos incluye: almacenar múltiples muestras de remordimiento en un primer almacén de datos, en donde las múltiples muestras de remordimiento se obtiene en dos o más integraciones de un algoritmo CRF en la búsqueda de estrategia en la iteración estratégica entre dos o más partes; almacenar múltiples muestras de estrategia en un segundo almacén de datos; actualizar los parámetros de un primera red neural para pronosticar un valor de remordimiento de una posible acción en un estado de una parte con base en las múltiples muestras de remordimiento en el primer almacén de datos; y actualizar los parámetros de una segunda red neural para pronosticar un valor de la estrategia de una posible acción en un estado de la parte con base en las múltiples muestras de estrategia en el segundo almacén de datos.
MX2019012664A 2019-01-17 2019-01-17 Bodega de estrategia en la interaccion estrategica entre partes. MX385459B (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2019/072204 WO2020147075A1 (en) 2019-01-17 2019-01-17 Strategy searching in strategic interaction between parties

Publications (2)

Publication Number Publication Date
MX2019012664A MX2019012664A (es) 2021-08-20
MX385459B true MX385459B (es) 2025-03-18

Family

ID=70973020

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2019012664A MX385459B (es) 2019-01-17 2019-01-17 Bodega de estrategia en la interaccion estrategica entre partes.

Country Status (15)

Country Link
US (1) US10679125B1 (es)
EP (1) EP3704647A1 (es)
JP (1) JP7219228B2 (es)
KR (1) KR102133143B1 (es)
CN (1) CN112292701A (es)
AU (1) AU2019257474A1 (es)
BR (1) BR112019022542A2 (es)
CA (1) CA3059744C (es)
MX (1) MX385459B (es)
MY (1) MY196331A (es)
PH (1) PH12019502465B1 (es)
RU (1) RU2743626C1 (es)
SG (1) SG11201910110QA (es)
WO (1) WO2020147075A1 (es)
ZA (1) ZA201907104B (es)

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* Cited by examiner, † Cited by third party
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EP3942502A1 (en) * 2019-03-20 2022-01-26 Celo Labs Inc. Resource stabilization in a distributed network
CN112041875B (zh) * 2019-12-12 2022-04-22 支付宝(杭州)信息技术有限公司 确定执行设备的动作选择方针
KR102579203B1 (ko) * 2019-12-31 2023-09-15 한국전자통신연구원 게임 결과 예측 장치 및 방법
CN112533681B (zh) 2020-04-02 2024-07-12 支付宝(杭州)信息技术有限公司 确定执行设备的动作选择方针
CN112801305B (zh) * 2021-03-19 2021-07-16 腾讯科技（深圳）有限公司 应对策略预测处理方法、装置、计算机设备和存储介质
CN113689001B (zh) * 2021-08-30 2023-12-05 浙江大学 一种基于反事实遗憾最小化的虚拟自我对弈方法和装置
CN114580642B (zh) * 2022-03-17 2023-04-07 中国科学院自动化研究所 构建博弈ai模型和数据处理的方法、装置、设备及介质
CN115017677B (zh) * 2022-04-27 2023-07-25 中国人民解放军军事科学院战略评估咨询中心 一种面向推演仿真的行动策略预判方法及系统
CN119583214B (zh) * 2025-01-24 2025-04-11 中国科学技术大学 基于序贯反事实遗憾最小化的网络防御博弈决策方法

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH1185719A (ja) * 1997-09-03 1999-03-30 Matsushita Electric Ind Co Ltd パラメータ推定装置
RU2459254C2 (ru) * 2007-04-27 2012-08-20 Сименс Акциенгезелльшафт Способ компьютеризованного обучения одной или более нейронных сетей
US20140039913A1 (en) * 2012-07-31 2014-02-06 Tuomas W. Sandholm Medical treatment planning via sequential games
US10057367B2 (en) * 2016-03-02 2018-08-21 Huawei Technologies Canada Co., Ltd. Systems and methods for data caching in a communications network
CN106296006A (zh) * 2016-08-10 2017-01-04 哈尔滨工业大学深圳研究生院 非完备信息博弈中风险与收益均衡的最少遗憾的评估方法
US10694526B2 (en) * 2016-09-30 2020-06-23 Drexel University Adaptive pursuit learning method to mitigate small-cell interference through directionality
US11138513B2 (en) * 2017-06-13 2021-10-05 Princeton University Dynamic learning system

Also Published As

Publication number Publication date
BR112019022542A2 (pt) 2021-07-27
RU2743626C1 (ru) 2021-02-20
PH12019502465A1 (en) 2020-09-28
EP3704647A4 (en) 2020-09-09
MX2019012664A (es) 2021-08-20
CA3059744A1 (en) 2020-07-17
CA3059744C (en) 2021-08-17
ZA201907104B (en) 2022-02-23
JP2021509492A (ja) 2021-03-25
EP3704647A1 (en) 2020-09-09
KR102133143B1 (ko) 2020-07-13
US10679125B1 (en) 2020-06-09
WO2020147075A1 (en) 2020-07-23
SG11201910110QA (en) 2020-08-28
AU2019257474A1 (en) 2020-08-06
PH12019502465B1 (en) 2020-09-28
MY196331A (en) 2023-03-24
CN112292701A (zh) 2021-01-29
JP7219228B2 (ja) 2023-02-07

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