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Sinopsis
Reactive Publishing
Modern digital markets, from automated ad exchanges and cloud resource allocation to high-frequency auctions, rely on rigorous economic frameworks. Algorithmic Mechanism Design and Auction Theory with Python bridges the gap between theoretical microeconomics and practical software implementation.
Designed for data scientists, quantitative developers, and economists, this comprehensive guide demonstrates how to engineer incentive-compatible systems, design optimal auctions, and deploy automated bidding strategies using modern Python tools.
What You Will LearnCore Auction Theory: Implement English, Dutch, First-Price, and Second-Price (Vickrey) auctions with deterministic and strategic bidding agents.
Incentive Alignment: Build and simulate Vickrey-Clarke-Groves (VCG) mechanisms to achieve social welfare maximization and truthfulness.
Algorithmic Bidding: Train automated bidding strategies using dynamic programming, numerical optimization, and basic multi-agent reinforcement learning.
Market Dynamics: Analyze combinatorial auctions, revenue optimization, and counter-strategies against bid shading and collusive behavior.
Basic proficiency in Python and foundational knowledge of linear algebra and probability are recommended. No prior background in formal economics is required, all necessary theoretical concepts are built from first principles.
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Algorithmic Mechanism Design and Auction Theory with Python
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Algorithmic Mechanism Design and Auction Theory with Python (Paperback)
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Paperback. Condición: new. Paperback. Reactive PublishingModern digital markets, from automated ad exchanges and cloud resource allocation to high-frequency auctions, rely on rigorous economic frameworks. Algorithmic Mechanism Design and Auction Theory with Python bridges the gap between theoretical microeconomics and practical software implementation.Designed for data scientists, quantitative developers, and economists, this comprehensive guide demonstrates how to engineer incentive-compatible systems, design optimal auctions, and deploy automated bidding strategies using modern Python tools.What You Will LearnCore Auction Theory: Implement English, Dutch, First-Price, and Second-Price (Vickrey) auctions with deterministic and strategic bidding agents.Incentive Alignment: Build and simulate Vickrey-Clarke-Groves (VCG) mechanisms to achieve social welfare maximization and truthfulness.Algorithmic Bidding: Train automated bidding strategies using dynamic programming, numerical optimization, and basic multi-agent reinforcement learning.Market Dynamics: Analyze combinatorial auctions, revenue optimization, and counter-strategies against bid shading and collusive behavior.PrerequisitesBasic proficiency in Python and foundational knowledge of linear algebra and probability are recommended. No prior background in formal economics is required, all necessary theoretical concepts are built from first principles. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798192396889
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Algorithmic Mechanism Design and Auction Theory with Python
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Algorithmic Mechanism Design and Auction Theory with Python (Paperback)
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Paperback. Condición: new. Paperback. Reactive PublishingModern digital markets, from automated ad exchanges and cloud resource allocation to high-frequency auctions, rely on rigorous economic frameworks. Algorithmic Mechanism Design and Auction Theory with Python bridges the gap between theoretical microeconomics and practical software implementation.Designed for data scientists, quantitative developers, and economists, this comprehensive guide demonstrates how to engineer incentive-compatible systems, design optimal auctions, and deploy automated bidding strategies using modern Python tools.What You Will LearnCore Auction Theory: Implement English, Dutch, First-Price, and Second-Price (Vickrey) auctions with deterministic and strategic bidding agents.Incentive Alignment: Build and simulate Vickrey-Clarke-Groves (VCG) mechanisms to achieve social welfare maximization and truthfulness.Algorithmic Bidding: Train automated bidding strategies using dynamic programming, numerical optimization, and basic multi-agent reinforcement learning.Market Dynamics: Analyze combinatorial auctions, revenue optimization, and counter-strategies against bid shading and collusive behavior.PrerequisitesBasic proficiency in Python and foundational knowledge of linear algebra and probability are recommended. No prior background in formal economics is required, all necessary theoretical concepts are built from first principles. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798192396889
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Algorithmic Mechanism Design and Auction Theory with Python
Publicado por
Amazon Digital Services LLC - Kdp Aug 2026, 2026
ISBN 13: 9798192396889
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Taschenbuch. Condición: Neu. Neuware - Reactive PublishingModern digital markets, from automated ad exchanges and cloud resource allocation to high-frequency auctions, rely on rigorous economic frameworks. Algorithmic Mechanism Design and Auction Theory with Python bridges the gap between theoretical microeconomics and practical software implementation.Designed for data scientists, quantitative developers, and economists, this comprehensive guide demonstrates how to engineer incentive-compatible systems, design optimal auctions, and deploy automated bidding strategies using modern Python tools.What You Will Learn- Core Auction Theory: Implement English, Dutch, First-Price, and Second-Price (Vickrey) auctions with deterministic and strategic bidding agents.- Incentive Alignment: Build and simulate Vickrey-Clarke-Groves (VCG) mechanisms to achieve social welfare maximization and truthfulness.- Algorithmic Bidding: Train automated bidding strategies using dynamic programming, numerical optimization, and basic multi-agent reinforcement learning.- Market Dynamics: Analyze combinatorial auctions, revenue optimization, and counter-strategies against bid shading and collusive behavior.PrerequisitesBasic proficiency in Python and foundational knowledge of linear algebra and probability are recommended. No prior background in formal economics is required, all necessary theoretical concepts are built from first principles. Nº de ref. del artículo: 9798192396889
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