activity
20222026
most citedDesigning Ecosystems of Intelligence from First Principles

42 citations · 62 across the 21 of their papers we have counts for

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8 papers · 1 filter

cs.AI2026

Active Inference: A method for Phenotyping Agency in AI systems?

Philip Wilson, Axel Constant, Mahault Albarracin +4

The proliferation of agentic artificial intelligence has outpaced the conceptual tools needed to characterize agency in computational systems. Prevailing definitions mainly rely on…

cs.AI2025

On the Variational Costs of Changing Our Minds

David Hyland, Mahault Albarracin

The human mind is capable of extraordinary achievements, yet it often appears to work against itself. It actively defends its cherished beliefs even in the face of contradictory ev…

cs.AI2024

Free Energy in a Circumplex Model of Emotion

Candice Pattisapu, Tim Verbelen, Riddhi J. Pitliya +2

Previous active inference accounts of emotion translate fluctuations in free energy to a sense of emotion, mainly focusing on valence. However, in affective science, emotions are o…

cs.AI2024

Belief sharing: a blessing or a curse

Ozan Catal, Toon Van de Maele, Riddhi J. Pitliya +3

When collaborating with multiple parties, communicating relevant information is of utmost importance to efficiently completing the tasks at hand. Under active inference, communicat…

cs.AI2024★ 3 cited

Modeling Sustainable Resource Management using Active Inference

Mahault Albarracin, Ines Hipolito, Maria Raffa +1

Active inference helps us simulate adaptive behavior and decision-making in biological and artificial agents. Building on our previous work exploring the relationship between activ…

cs.AI2024★ 1 cited

A Path Towards Legal Autonomy: An interoperable and explainable approach to extracting, transforming, loading and computing legal information using large language models, expert systems and Bayesian networks

Axel Constant, Hannes Westermann, Bryan Wilson +6

Legal autonomy - the lawful activity of artificial intelligence agents - can be achieved in one of two ways. It can be achieved either by imposing constraints on AI actors such as…

cs.AI2023★ 1 cited

Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making

Mahault Albarracin, Inês Hipólito, Safae Essafi Tremblay +4

This paper investigates the prospect of developing human-interpretable, explainable artificial intelligence (AI) systems based on active inference and the free energy principle. We…

cs.AI2022★ 42 cited

Designing Ecosystems of Intelligence from First Principles

Karl J Friston, Maxwell J D Ramstead, Alex B Kiefer +17

This white paper lays out a vision of research and development in the field of artificial intelligence for the next decade (and beyond). Its denouement is a cyber-physical ecosyste…