4 papers
A framework for the use of generative modelling in non-equilibrium statistical mechanics
Karl J Friston, Maxwell J D Ramstead, Dalton A R Sakthivadivel
We discuss an approach to mathematically modelling systems made of objects that are coupled together, using generative models of the dependence relationships between states (or tra…
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…
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
Sungwoo Lee, Younghyun Oh, Hyunhoe An +4
Building autonomous -- i.e., choosing goals based on one's needs -- and adaptive -- i.e., surviving in ever-changing environments -- agents has been a holy grail of artificial inte…
Dynamic Causal Models of Time-Varying Connectivity
Johan Medrano, Karl J. Friston, Peter Zeidman
This paper introduces a novel approach for modelling time-varying connectivity in neuroimaging data, focusing on the slow fluctuations in synaptic efficacy that mediate neuronal dy…