42 citations · 62 across the 21 of their papers we have counts for
22 papers
AVCG: A Generalized Variational Framework for Counterfactual Generation under Hypothesis Distributions
Jamie Duell, Alejandro Jimenez Rodriguez, Mahault Albarracin
Counterfactual explanations formalize "what-if" scenarios by identifying modifications to an input instance that obtain a desired alternative prediction. Traditionally, whether gen…
Life as Plasmas: Autonomy and Interactivism in-materio
Nicolás Hinrichs, Mahault Albarracin, Felipe Engelberger +2
When is a material system a candidate for life at all? We argue that this question is prior to behavior, functional architecture, or computational capacity, and that at root it is…
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…
Empathy Modeling in Active Inference Agents for Perspective-Taking and Alignment
Mahault Albarracin, Hongju Pae, Philip Wilson +4
Artificial agents that model other agents must predict their behavior and determine whether their outcomes matter within action selection. We introduce an active inference framewor…
EcoNet: Multiagent Planning and Control Of Household Energy Resources Using Active Inference
John C. Boik, Kobus Esterhuysen, Jacqueline B. Hynes +5
Advances in automated systems afford new opportunities for intelligent management of energy at household, local area, and utility scales. Home Energy Management Systems (HEMS) can…
Normative active inference: A numerical proof of principle for a computational and economic legal analytic approach to AI governance
Axel Constant, Mahault Albarracin, Karl J. Friston
This paper presents a computational account of how legal norms can influence the behavior of artificial intelligence (AI) agents, grounded in the active inference framework (AIF) t…
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…
Resilience and adaptability in self-evidencing systems
Mahault Albarracin, Dalton A R Sakthivadivel
In this paper we will articulate a view of resilience under the free energy principle and vice versa. The free energy principle is about existence and identity, and resilience is t…
Geometric Hyperscanning of Affect under Active Inference
Nicolas Hinrichs, Mahault Albarracin, Dimitris Bolis +3
Second-person neuroscience holds social cognition as embodied meaning co-regulation through reciprocal interaction, modeled here as coupled active inference with affect emerging as…
A Computational Model of Inclusive Pedagogy: From Understanding to Application
Francesco Balzan, Pedro P. Santos, Maurizio Gabbrielli +2
Human education transcends mere knowledge transfer, it relies on co-adaptation dynamics -- the mutual adjustment of teaching and learning strategies between agents. Despite its cen…
The Physics and Metaphysics of Social Powers: Bridging Cognitive Processing and Social Dynamics, a New Perspective on Power through Active Inference
Mahault Albarracin, Sonia de Jager, David Hyland +1
The concept of power can be explored at several scales: from physical action and process effectuation, all the way to complex social dynamics. A spectrum-wide analysis of power req…
Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems
Ran Wei, Joseph Lee, Shohei Wakayama +10
Predicting future trajectories of nearby objects, especially under occlusion, is a crucial task in autonomous driving and safe robot navigation. Prior works typically neglect to ma…
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…
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…
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…
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…
Comment on "Path integrals, Particular Kinds, and Strange Things": from Consciousness to Society
Albarracin Mahault
The path integral formulation introduced in [arXiv:2210.12761] "Path integrals, particular kinds, and strange things" by Friston and colleagues in 2023, offers an innovative lens f…
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…
The inner screen model of consciousness: applying the free energy principle directly to the study of conscious experience
Maxwell J. D. Ramstead, Mahault Albarracin, Alex Kiefer +4
This paper presents a model of consciousness that follows directly from the free-energy principle (FEP). We first rehearse the classical and quantum formulations of the FEP. In par…
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…
Efficient search of active inference policy spaces using k-means
Alex B. Kiefer, Mahault Albarracin
We develop an approach to policy selection in active inference that allows us to efficiently search large policy spaces by mapping each policy to its embedding in a vector space. W…
Mapping Husserlian phenomenology onto active inference
Mahault Albarracin, Riddhi J. Pitliya, Maxwell J. D. Ramstead +1
Phenomenology is the rigorous descriptive study of conscious experience. Recent attempts to formalize Husserlian phenomenology provide us with a mathematical model of perception as…