Digital
Anthology

*An exploration of how knowledge becomes meaningful through relationships—and how humans and intelligent systems might learn together through visible, connected understanding.*  Connected intelligence emerging as a luminous network around a human observer *GIL imagines intelligence not as an isolated answe...

Swarm Showdown: AI-Driven Competitive Coordination in Multi-Agent Systems 1. Introduction In competitive multi-agent scenarios, intelligent systems must simultaneously pursue self-interested objectives while coordinating with other agents to achieve complex shared goals. This chapter explores how modern AI frameworks enable this dual capability through specialized coordination mechanisms grounded in game theory and machine learning principles. ...

Abstract The decision to deploy large language models (LLMs) locally versus using cloud-based APIs is a crucial one for developer productivity. While cloud solutions provide access to vast models with high throughput, they introduce network latency and data sovereignty risks. Local models reduce these external bottlenecks but come with their own set of challenges like managing state and ensuring model reliability. This study proposes a compreh...