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, ...

Spatial epidemiology issues are outstandingly important, particularly the viral spread through populated areas is believed to be one of the major concerns. [1] The incidence and prevalence of ...

George Danner is president of Houston-based Industrial Science LLC, a consultancy that specializes in computer simulations, including agent-based modeling of complex, adaptive systems. He recently ...

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 ...

Agentic AI holds much promise for the accounting profession. AI agents, defined as "software that is capable of at least some degree of autonomy to make decisions and interact with tools outside ...

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As DevSecOps matures, artificial intelligence (AI) is transforming the way security, compliance and automation are carried out across the software development life cycle. Intelligent agents founded ...

While computer-use models are still too slow and unreliable, browser agents are already becoming production-ready, even in critical sectors such as healthcare and insurance. In January 2025, OpenAI ...

Google’s recent whitepaper, “Welcome to the Era of Experience,” signals a shift in the way AI agents are trained. Google’s paper hypothesizes that allowing AI agents to learn from the experience of ...

Background: The propagation of communicable diseases through a population is an inherent spatial and temporal process of great importance for modern society. For this reason a spatially explicit ...

Forbes contributors publish independent expert analyses and insights. Fashion modeling is experiencing significant technological disruption as AI platforms evolve from simple model generation into ...