Multi-agent systems (MAS) comprise networks of autonomous entities that interact to achieve individual or collective goals. In the face of increasing system complexity and uncertainty, formal ...

Why Multi-Agent Systems Outperform Traditional AutomationEnterprises have squeezed value from automation by codifying workflows, eliminating repetitive tasks and streamlining handoffs for more than a ...

A new book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems. The book's 14 chapters feature ...

SINGAPORE, SINGAPORE, SINGAPORE, April 3, 2026 /EINPresswire.com/ -- Google’s release of Gemma 4 on April 2, 2026, ...

Multi-agent systems, like microservices, can be powerful. But most enterprises risk adding distributed complexity long before ...

But in practice, prompt iteration has historically felt disjointed and slow. Makers previously balanced their flow of work ...

Memento-Skills lets AI agents rewrite their own skills using reinforcement learning, hitting 80% task success vs. 50% for ...

We're seeing AI evolve fast. It's no longer just about building a single, super-smart model. The real power, and the exciting frontier, lies in getting multiple specialized AI agents to work together.

Microsoft's decision to have GPT and Claude check each other's work inside Microsoft 365 Copilot's Researcher agent signals a ...