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 ...

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 ...