Agent-based modelling has emerged as a powerful computational approach for exploring how organisational structures, decision mechanisms and individual behaviours interact to produce complex ...

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 ...

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 AI agent combines a model with instructions, tools, memory, and a control loop. Understanding how those parts interact ...

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 ...

Perplexity, the AI-powered search company valued at $20 billion, on Wednesday launched what it calls the most ambitious product in its three-year history: a multi-model agent orchestration platform ...

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 ...

The question of trust runs on two fronts: the agents they have built that now run in production and the coding agents their developers rely on daily to build software. Most organizations can’t trust ...

Microsoft has introduced a series of security tools and capabilities focused on AI-driven vulnerability discovery, AI agents, and AI models. The updates include a multi-agent vulnerability discovery ...