This paper introduces a simple yete ective method for using causal domain knowledge for learning to control dynamic systems. Elementary qualitative causal dependencies of the domai...
An approach to handle the complex dynamics of a multi-agent system is based on distinguishing aggregation levels by structuring the system into parts or components. The behavior of...
The incremental parsing (IP) algorithm has been successfully used in real-time applications, due to its efficiency in modeling musical style. For example, musical systems using IP...
Giordano Ribeiro de Eulalio Cabral, Jean-Pierre Br...
We consider a multi-agent system where each agent is equipped with a Bayesian network, and present an open framework for the agents to agree on a possible consensus network. The f...
Abstract. This paper presents a high level dynamic task allocation algorithm that is inspired by the biological development process and the immune system. For a microprocessor (µP...
Yang Liu, Jon Timmis, Omer Qadir, Gianluca Tempest...