3 citations · 4 across the 4 of their papers we have counts for
5 papers
Testing the Planning Claims of LLM-Based Agents against Formal Semantics
Oriol Miro-Lopez-Feliu, Oscar Miró López-Feliu, Victor Gimenez-Abalos +3
LLM-based agents are increasingly credited with the competences of practical reasoning: planning, monitoring, and correcting their own actions. Their success is attributed to the p…
Intention-aware policy graphs: answering what, how, and why in opaque agents
Victor Gimenez-Abalos, Sergio Alvarez-Napagao, Adrian Tormos +2
Agents are a special kind of AI-based software in that they interact in complex environments and have increased potential for emergent behaviour. Explaining such emergent behaviour…
A Hierarchical Framework for Collaborative Artificial Intelligence
James L. Crowley, Joëlle L Coutaz, Jasmin Grosinger +5
We propose a hierarchical framework for collaborative intelligent systems. This framework organizes research challenges based on the nature of the collaborative activity and the in…
On some Foundational Aspects of Human-Centered Artificial Intelligence
Luciano Serafini, Raul Barbosa, Jasmin Grosinger +9
The burgeoning of AI has prompted recommendations that AI techniques should be "human-centered". However, there is no clear definition of what is meant by Human Centered Artificial…
Towards a Goal-oriented Agent-based Simulation framework for High-Performance Computing
Dmitry Gnatyshak, Luis Oliva-Felipe, Sergio Álvarez-Napagao +4
Currently, agent-based simulation frameworks force the user to choose between simulations involving a large number of agents (at the expense of limited agent reasoning capability)…