{"id":8597,"date":"2023-07-21T10:09:52","date_gmt":"2023-07-21T10:09:52","guid":{"rendered":"https:\/\/komorebi.ai\/?page_id=8597"},"modified":"2023-09-21T14:25:40","modified_gmt":"2023-09-21T14:25:40","slug":"augmented-probability-simulation-methods-for-sequential-games","status":"publish","type":"page","link":"https:\/\/komorebi.ai\/es\/augmented-probability-simulation-methods-for-sequential-games\/","title":{"rendered":"Augmented probability simulation methods for sequential games"},"content":{"rendered":"\t\t
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Augmented probability simulation methods for sequential games<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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European Journal of Operational Research, 2023<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The study presents a robust <\/span>framework <\/b>with computational algorithms designed <\/span>to aid decision-making in sequential games<\/b>.\u00a0<\/span><\/p>

The framework offers methods for solving games with complete information, evaluating the solidity of solutions, and approximating adversarial risk analysis for situations with incomplete information.\u00a0<\/span><\/p>

Existing simulation-based approaches can falter with large decision sets or continuous decisions due to inefficiency or lack of precision. To address these issues, the study introduces a novel method utilizing augmented probability simulation. Though the framework can apply to multi-stage sequential games, the focus of the discussion is on two-stage sequential defend-attack problems.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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A scalable algorithm framework is proposed for decision-making in sequential games, relevant to areas like cybersecurity, machine learning and business competition.<\/p><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Where does it apply?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The research introduces a robust decision-making framework with computational algorithms for sequential games. The presented framework shines <\/span>in sequential defend-attack scenarios<\/b>, making it highly relevant for areas like <\/span>cybersecurity <\/b>and adversarial machine learning.\u00a0<\/span><\/p>

Though the study focuses on two-stage games, the framework can conceptually apply to multi-stage sequential games. The critical advantage of this method is its <\/span>scalability<\/b>, making it suitable for high-dimensional problems and situations where standard methods fail. Consequently, it finds.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Why does it matters?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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This research presents a groundbreaking framework with computational algorithms that offer robust solutions for sequential games. It introduces a novel solution method known as augmented probability simulation, which is advantageous over existing methods, especially in cases of large or continuous decision sets.\u00a0<\/span><\/p>

This <\/span>method <\/b>allows the simultaneous assessment and optimization of decision scenarios,<\/span> easing the process of reaching optimal solutions<\/b>. Overall, it offers a powerful tool for decision-making in sequential games, providing a more efficient and scalable approach to problem-solving.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Augmented probability simulation methods for sequential games<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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European Journal of Operational Research, 2023<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tAlberto Torres<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tCTO<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tScalability, Adversarial Risk Analysis<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Otras publicaciones<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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TUN-AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Evaluaci\u00f3n del efecto de la inversi\u00f3n en publicidad sobre las ventas<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Generaci\u00f3n personalizada de imagen a partir de texto a usando gradientes est\u00e9ticos<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Un m\u00e9todo de Aprendizaje Autom\u00e1tico, para la estimaci\u00f3n precisa de la biomasa de at\u00fan; beneficiando a la industria pesquera, organizaciones de gesti\u00f3n pesquera y la pesca sostenible.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Predicciones precisas de ventas basadas en la inversi\u00f3n en publicidad para ayudar en la toma de decisiones\u00a0 para la planificaci\u00f3n estrat\u00e9gica de la inversi\u00f3n publicitaria, asignaci\u00f3n de presupuestos y planificaci\u00f3n de campa\u00f1as de marketing.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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El estudio introduce la metodolog\u00eda de Gradientes Est\u00e9ticos para personalizar modelos generativos de difusi\u00f3n, mejorando la experiencia del usuario e impactando campos como el arte digital, el dise\u00f1o y el marketing.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tPredictive Analytics, Fisheries<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tAdvertising, Sales Forecasting<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Saber m\u00e1s>><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Saber m\u00e1s >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Saber m\u00e1s >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Augmented probability simulation methods for sequential games European Journal of Operational Research, 2023 Abstract The study presents a robust framework with computational algorithms designed to aid decision-making in sequential games. The framework offers methods for solving games with complete information, evaluating the solidity of solutions, and approximating adversarial risk analysis for situations with incomplete information. […]<\/p>\n","protected":false},"author":1,"featured_media":8730,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"yoast_head":"\nAugmented probability simulation methods for sequential games - Komorebi AI<\/title>\n<meta name=\"description\" content=\"Scalable algorithm framework proposed for decision-making in sequential games, relevant to cybersecurity, machine learning, and business.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/komorebi.ai\/es\/augmented-probability-simulation-methods-for-sequential-games\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Augmented probability simulation methods for sequential games - Komorebi AI\" \/>\n<meta property=\"og:description\" content=\"Scalable algorithm framework proposed for decision-making in sequential games, relevant to cybersecurity, machine learning, and business.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/komorebi.ai\/es\/augmented-probability-simulation-methods-for-sequential-games\/\" \/>\n<meta property=\"og:site_name\" content=\"Komorebi AI\" \/>\n<meta property=\"article:modified_time\" content=\"2023-09-21T14:25:40+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/komorebi.ai\/wp-content\/uploads\/2023\/07\/ciberseguridad-2.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2000\" \/>\n\t<meta property=\"og:image:height\" content=\"1334\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/komorebi.ai\/augmented-probability-simulation-methods-for-sequential-games\/\",\"url\":\"https:\/\/komorebi.ai\/augmented-probability-simulation-methods-for-sequential-games\/\",\"name\":\"Augmented probability simulation methods for sequential games - 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