6 papers
Two Routes to Interoceptive Prioritisation: Dissociating Likelihood Precision and Preference Reweighting in Active Inference
St John Grimbly, Nicolas Kuske, Evert A. Boonstra +6
An embodied agent must prioritise among competing bodily needs. In active inference, it can respond to an urgent need by increasing the precision of information about that need or…
Inferring Affective Consciousness in an Artificial Agent: A Case Study
Mark Solms, St John Grimbly, Bruce Bassett +7
Creatures that display 'hedonic place preference behaviour' are thought by many scientists to experience feelings, on the assumption that their attraction to pleasure-producing sub…
Interoceptive Attention as Dynamic Homeostatic Prioritization in a Foraging Agent
St John Grimbly, Nicolas Kuske, Evert A. Boonstra +7
Biological systems must regulate competing needs under limited perceptual bandwidth, where sharpening one estimate costs the capacity to sharpen the others. Any fixed-budget system…
TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models
Sahan Bulathwela, Daniel Van Niekerk, Jarrod Shipton +3
Personalised education is one of the domains that can greatly benefit from the most recent advances in Artificial Intelligence (AI) and Large Language Models (LLM). However, it is…
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces
Perusha Moodley, Pramod Kaushik, Dhillu Thambi +4
Decision Transformers, in their vanilla form, struggle to perform on image-based environments with multi-discrete action spaces. Although enhanced Decision Transformer architecture…
Generalisable Agents for Neural Network Optimisation
Kale-ab Tessera, Callum Rhys Tilbury, Sasha Abramowitz +5
Optimising deep neural networks is a challenging task due to complex training dynamics, high computational requirements, and long training times. To address this difficulty, we pro…