@article{Montet:14962,
      recid = {14962},
      author = {Montet, Frédéric and Löwenmark, Karl and Liwicki, Marcus  and Sandin, Fredrik and Hennebert, Jean},
      title = {Integration of large language models intro control systems  for shared appliances},
      journal = {Proceedings of AMBIENT 2024, The Fourteenth International  Conference on Ambient Computing, Applications, Services and  Technologies, 29 September-3 October 2024, Venice, Italy},
      address = {2024-09},
      number = {CONFERENCE},
      pages = {6 p.},
      abstract = {Large Language Model (LLM)-powered chatbot agents have  proven to be immensely useful in tasks, such as writing and  generating essays, code, and academic text. By using  frameworks such as LangChain, agents can be equipped with  tools to access and analyse custom data, which facilitates  bespoke applications, such as customer service agents with  access to internal documents and tailored reasoning. While  the focus of such applications has mainly centered around  textual content, custom toolboxes could also enable agents  to act in completely different use cases, for instance  control theory. Nevertheless, given the non-deterministic  nature of LLMs, merging them with deterministic software  implies challenges in applied contexts such as privacy,  multi-user interactions, and consistency. To pave the way  to reliable LLM usage in various contexts, this work  provides the foundation for expanding the use of LLM agents  to the domain of control systems and human-centric  automation. An agent-based architecture is proposed, which  is then implemented within the context of a shared space  heating system controlled by three personas. Finally, we  evaluate the capacity of the system to deal with scenarios  such as normality, erratic user behavior, conflicts of  interest, and system limitations. The findings of this  study highlight the potential benefits and challenges of  using LLMs for appliance control. All code is made public  at https://github.com/fredmontet/llm-cps-ac to facilitate  further research.},
      url = {http://arodes.hes-so.ch/record/14962},
}