Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. Models, Agent-Based Models, and the Modeling ...

Agent-based modelling and simulation (ABMS) constitutes a powerful computational paradigm for exploring the dynamics of complex systems through the interactions of discrete, autonomous agents. Each ...

Dyad AI supports engineer-in-the-loop workflows by running simulation, validation and parameter tuning in a single environment for hardware development. JuliaHub announced Dyad AI, an agent-based ...

For stochastic models that can generate different outputs from identical inputs, property-based testing helps identify which input patterns make the model unstable. Testing deterministic systems is ...

A hybrid multi-agent modeling framework jointly optimizes capacity pricing and ancillary-service dispatch, improving matching ...

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 ...

An agent-based model (ABM) built to test archaeological ideas about how nuraghi were built: who quarried, dressed, hauled and lifted the stone, how communities cooperated, formed alliances or relied ...

What if you could build a fully functional financial model in minutes, without spending hours wrestling with formulas, cleaning messy data, or manually updating projections? With the introduction of ...