Distributed AI in the Modern World

Distributed AI in the Modern World: Technical and Social Aspects of Interacting Intelligent Agents, 1st Edition, presents architectural solutions for distributing artificial intelligence across multi-agent systems and machine learning workflows. The text establishes how autonomous software entities coordinate complex computational tasks and manage social interactions across contemporary digital networks. Computer science researchers and software engineers gain structured methods for uniting agent interaction frameworks with scalable computing models.

The volume details context management in hypermedia multi-agent systems while investigating declarative protocols involving BSPL and SARL for multi-agent engineering. It also examines architectural approaches to maintain AI trustworthiness within web systems, demonstrating how explicit trust requirements shape distributed system design.

A defining technical component of the work is its analysis of distributed self-coordination strategies for non-holonomic physically embodied robot swarms. This volume offers academics, data science practitioners, and systems developers practical reference material for evaluating agent-based architectures.