Agentic and Generative AI in Service-oriented IS Research: A Positioning Framework

LAMAS: An organisation-centred architecture for agentic AI

The presented project Learn2Organise addresses limitations in dynamic environments by developing an open-source architecture, called Lamas, that supports the creation and execution of learning, self-adaptive, and organisation-centred LLM-MAS.

From Objects to Agents and Beyond: Stabilizing Structures in Evolving Coordination Contexts

From Language Models to Agentic AI: A Survey of Autonomous, Action-Enabled, and Collaborative LLM Agents

A unified, taxonomy-driven, and deployment-oriented survey of agentic AI systems, synthesizing recent advances through a modular reference architecture and a four-dimensional taxonomy that characterizes agents along the axes of autonomy, tool use, collaboration, and safety–governance is presented.

RestoreBench: Can AI Agents Restore Power Flow Convergence?

A benchmark that evaluates diagnostic and resolving non-convergent power flow cases across multiple LLMs and three architectures, providing a reproducible foundation for developing agentic AI systems for power system planning and operation.

A Systematic Review of Autonomous Agentic AI Architectures and Orchestration Strategies for Edge-to-Cloud Internet of Things Deployments

The main conclusion is that practical Agentic IoT depends less on placing an entire agent at one tier than on partitioning perception, memory, reasoning, and action under explicit latency, privacy, reliability, and safety constraints.

Resource, actor, beneficiary, or agent? A service-dominant perspective on generative artificial intelligence

The evidence indicates that GenAI is best understood as an operant resource and, depending on design and context, as an actor and agent, and an update to service-dominant logic’s core concepts and understanding is proposed.