activity
20232026
most citedFundamentals of Building Autonomous LLM Agents

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.MA2026

A Technical Taxonomy of LLM Agent Communication Protocols

Linus Sander, Habtom Kahsay Gidey, Alexander Lenz +1

As large language models (LLMs) advance and multi-agent systems aim to overcome the limits of standalone agents, robust communication protocols are becoming essential infrastructur…

cs.AI2026

Knowledge Reutilization in Meta-Reinforcement Learning

Yuan Meng, Bo Wang, Juan de los Rios Ruiz +4

Meta-reinforcement learning enables fast adaptation by extracting shared structure from related tasks, but existing end-to-end methods often couple task inference with embodiment-s…

cs.AI2026

A Pattern Language for Resilient Visual Agents

Habtom Kahsay Gidey, Alexander Lenz, Alois Knoll

Integrating multimodal foundation models into enterprise ecosystems presents a fundamental software architecture challenge. Architects must balance competing quality attributes: th…

cs.AI2025

Affordance Representation and Recognition for Autonomous Agents

Habtom Kahsay Gidey, Niklas Huber, Alexander Lenz +1

The autonomy of software agents is fundamentally dependent on their ability to construct an actionable internal world model from the structured data that defines their digital envi…

cs.AI2025★ 1 cited

Fundamentals of Building Autonomous LLM Agents

Victor de Lamo Castrillo, Habtom Kahsay Gidey, Alexander Lenz +1

This paper reviews the architecture and implementation methods of agents powered by large language models (LLMs). Motivated by the limitations of traditional LLMs in real-world tas…

cs.HC2023

User-Like Bots for Cognitive Automation: A Survey

Habtom Kahsay Gidey, Peter Hillmann, Andreas Karcher +1

Software bots have attracted increasing interest and popularity in both research and society. Their contributions span automation, digital twins, game characters with conscious-lik…