We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
With the evolution of the Web evolving towards the Semantic Web, where the information should be presented in a meaningful way for both humans and machines, arises the need for sem...
Organisational structures for multi-agent systems are usually defined independently of any spatial and temporal structure. Therefore, when the multi-agent system is situated in a ...
We present an epistemic logic incorporating dynamic operators to describe information changing events. Such events include epistemic changes, where agents become more informed abo...
The development of intelligent assistants has largely benefited from the adoption of decision-theoretic (DT) approaches that enable an agent to reason and account for the uncertai...
Bowen Hui, Sean Gustafson, Pourang Irani, Craig Bo...