Flow composition languages permit the construction of longrunning transactions from collections of independent, atomic services. Due to environmental limitations, such transaction...
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
This paper describes the implementation and evaluation of a framework for modeling emotions in complex, decision-making agents. Sponsored by U.S. Army Research Institute (ARI), th...
This paper presents a specifically database-inspired approach (called DOGMA) for engineering formal ontologies, implemented as shared resources used to express agreed formal semant...
The amount of data to be represented by visualization systems requires new ideas for data processing and representation. As proposed in this contribution, this might be solved by ...