ISBN: 9798183630909 - generative economic agents: building multi-agent llm simulations for market behavioral testing (6 risultati)

Taschenbuch. Condizione: Neu. Neuware - Reactive PublishingGenerative Economic Agents introduces a groundbreaking framework for simulating realistic market behavior using multi-agent systems powered by large language models (LLMs).In this technical guide, you will discover how to design, build, and evaluate generative economic agents that interact within complex market environments. Moving beyond traditional equation-based models, the book explores how LLM-driven agents can exhibit emergent behaviors, adaptive strategies, and realistic decision-making under uncertainty-capabilities essential for rigorous market behavioral testing.What You'll Learn- Core principles of generative agents in economic contexts- Architecting multi-agent LLM simulations for market dynamics- Techniques for modeling agent cognition, interaction protocols, and strategic adaptation- Methods for designing controlled experiments to test market hypotheses- Validation approaches, performance metrics, and techniques to mitigate hallucination and bias in agent behavior- Implementation patterns in Python for scalable simulation environmentsWritten for quantitative researchers, AI practitioners, algorithmic traders, and economists, this book bridges the gap between cutting-edge language model technology and practical market simulation. Whether you are exploring policy impacts, testing trading strategies, or investigating emergent market phenomena, Generative Economic Agents provides the conceptual foundations and technical tools needed to construct sophisticated, behaviorally rich economic simulations.Clear, code-supported, and focused on reproducible results, this work equips readers to move from theoretical exploration to functional market testing environments.…

Paperback. Condizione: new. Paperback. Reactive PublishingGenerative Economic Agents introduces a groundbreaking framework for simulating realistic market behavior using multi-agent systems powered by large language models (LLMs).In this technical guide, you will discover how to design, build, and evaluate generative economic agents that interact within complex market environments. Moving beyond traditional equation-based models, the book explores how LLM-driven agents can exhibit emergent behaviors, adaptive strategies, and realistic decision-making under uncertainty-capabilities essential for rigorous market behavioral testing.What You'll LearnCore principles of generative agents in economic contextsArchitecting multi-agent LLM simulations for market dynamicsTechniques for modeling agent cognition, interaction protocols, and strategic adaptationMethods for designing controlled experiments to test market hypothesesValidation approaches, performance metrics, and techniques to mitigate hallucination and bias in agent behaviorImplementation patterns in Python for scalable simulation environmentsWritten for quantitative researchers, AI practitioners, algorithmic traders, and economists, this book bridges the gap between cutting-edge language model technology and practical market simulation. Whether you are exploring policy impacts, testing trading strategies, or investigating emergent market phenomena, Generative Economic Agents provides the conceptual foundations and technical tools needed to construct sophisticated, behaviorally rich economic simulations.Clear, code-supported, and focused on reproducible results, this work equips readers to move from theoretical exploration to functional market testing environments. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Reactive PublishingGenerative Economic Agents introduces a groundbreaking framework for simulating realistic market behavior using multi-agent systems powered by large language models (LLMs).In this technical guide, you will discover how to design, build, and evaluate generative economic agents that interact within complex market environments. Moving beyond traditional equation-based models, the book explores how LLM-driven agents can exhibit emergent behaviors, adaptive strategies, and realistic decision-making under uncertainty-capabilities essential for rigorous market behavioral testing.What You'll LearnCore principles of generative agents in economic contextsArchitecting multi-agent LLM simulations for market dynamicsTechniques for modeling agent cognition, interaction protocols, and strategic adaptationMethods for designing controlled experiments to test market hypothesesValidation approaches, performance metrics, and techniques to mitigate hallucination and bias in agent behaviorImplementation patterns in Python for scalable simulation environmentsWritten for quantitative researchers, AI practitioners, algorithmic traders, and economists, this book bridges the gap between cutting-edge language model technology and practical market simulation. Whether you are exploring policy impacts, testing trading strategies, or investigating emergent market phenomena, Generative Economic Agents provides the conceptual foundations and technical tools needed to construct sophisticated, behaviorally rich economic simulations.Clear, code-supported, and focused on reproducible results, this work equips readers to move from theoretical exploration to functional market testing environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…