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 ...

Agents use past information and environmental state to make decisions beyond immediate sensor input.World models: Modern ...

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 ...

Agent-based modelling (ABM) has emerged as a powerful computational approach to simulate the decisions and interactions of individual land managers, farmers and other stakeholders within complex ...

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 ...

Overview: CrewAI gives each AI agent a role, a goal, and a backstory that shapes how it handles its taskThe framework ...

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 ...

A new study published in Science Advances takes a closer look at how AI agents' choices are influenced by their peers. The team found that more advanced models tend to follow the majority when shown ...

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 ...

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 ...