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Found 6 papers, 1 papers with code
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
Legal autonomy - the lawful activity of artificial intelligence agents - can be achieved in one of two ways.
Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making
This paper investigates the prospect of developing human-interpretable, explainable artificial intelligence (AI) systems based on active inference and the free energy principle.
The inner screen model of consciousness: applying the free energy principle directly to the study of conscious experience
This paper presents a model of consciousness that follows directly from the free-energy principle (FEP).
Designing Ecosystems of Intelligence from First Principles
In this context, we understand intelligence as the capacity to accumulate evidence for a generative model of one's sensed world -- also known as self-evidencing.
Efficient search of active inference policy spaces using k-means
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.
Mapping Husserlian phenomenology onto active inference
We then discuss Husserl's phenomenology, with a focus on time consciousness.
