9798183630909 - generative economic agents: building multi-agent llm simulations for market behavioral testing von thatch, oliver j. (3 Ergebnisse)

- Softcover
Anbieter: PBShop.store US, Wood Dale, IL, USAPBShop.store US
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 42,39
Versand gratisVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

- Softcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 38,36
EUR 5,84 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 54,84
EUR 30,50 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: 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 agen…ts 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.