Generative Economic Agents: Building Multi-Agent LLM Simulations for Market Behavioral Testing

Name: Generative Economic Agents: Building Multi-Agent LLM Simulations for Market Behavioral Testing
Brand: Independently Published
SKU: 9798183630909
Price: 4311.0 INR
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by Danny Munrow , Oliver J. Thatch

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ISBN13: 9798183630909
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: June 21, 2026
Pages: 556
Original Price: USD 39.99
Language: English
Edition: N/A
Item Weight: 663 grams
BISAC Subject(s): Artificial Intelligence / Natural Language Processing

About The Book

Reactive Publishing

Generative 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 environments

Written 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.

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