Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent knowledge, based on the construction and the comparison of arguments. In this pape...
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
: In a component-based development process the selection of components is an activity that takes place over multiple lifecycle phases that span from requirement specifications thro...
Ontologies are a well-motivated formal representation to model knowledge needed to extract and encode data from text. Yet, their tight integration with Information Extraction (IE)...
re a popular form of abstract computation. Being more general than monads, they are more broadly applicable, and in parare a good abstraction for signal processing and dataflow co...