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 ...

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, ...

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 ...

This is a preview. Log in through your library . Abstract Fishery of blue mussels Mytilus edulis constitutes a very important economic activity in Denmark, whereas mussel farming on long-lines or nets ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

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 ...

Technological Innovation: Multi-Professional Collaboration with Scene Large Models ...

Agentic artificial intelligence (AI) is transforming workflows, but growing costs are catching businesses off guard. According to Gartner, over 90% of chief information officers (CIOs) struggle to ...

DUBLIN--(BUSINESS WIRE)--The "Adaptive AI Market - Forecasts from 2024 to 2029" report has been added to ResearchAndMarkets.com's offering. The Adaptive AI market is estimated to grow at a CAGR of ...