Agent-based modelling (ABM) has emerged as a pivotal tool in macroeconomics and economic policy analysis. By simulating the interactions of numerous heterogeneous agents — such as households, firms, ...
A new book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems. The book’s 14 chapters feature ...
Putting social sciences together again: an introduction to the volume / Timothy A. Kohler -- Nonlinear and synthetic models for primate societies / Irenaeus J. A. te Boekhorst, Charlotte K. Hemelrijk ...
The research proposes a new cognitive architecture that harnesses large language models to simulate more human-like decision-making. Unlike traditional agents, these LLM-powered agents use a layered ...
University of Kansas researcher Folashade Agusto trained as an applied mathematician, though today she's an associate ...
OBJECTIVE This paper investigates and predicts the impact of family policies and the economic situation on women’s reproductive behavior in Tehran Province, Iran. METHODS The low fertility behavior of ...
At this year's Build conference, Microsoft unveiled a major expansion of its agent-based AI platform, highlighting new tools to securely build, customize and orchestrate intelligent agents across ...
Recently, a new sentiment has emerged in AI security circles: "RAG is dead." I've observed firsthand how organizations are increasingly abandoning Retrieval-Augmented Generation (RAG) architectures in ...
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