Description, Composition, and Decision Support for Multiagent Computational Systems
Roman Neruda · 2009
A decision making architecture for intelligent agents is presented in this paper. It allows agents to perform autonomous behavior with respect to its own goals and cooperation with other agents. We focus on computational agents that encapsulate various methods of computational intelligence, such as neural networks, genetic algorithms, and similar methods. The goal of these agents is typically to solve a data mining problem characterized by a data set together with problem description. The architecture is based on the vertically-layered and belief-desire-intention architectures. Several experiments with computational agents were conducted to demonstrate the benefits of the architecture.