Establishing a clean relationship between a robot’s spatial model and natural language components is a non-trivial task, but is key to designing verbally controlled, navigating s...
Robert J. Ross, Hui Shi, Tillman Vierhuff, Bernd K...
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Abstract: This paper presents the initial design and implementation of a Gridbased distributed and parallel data mining system. The Grid system, namely the Business Intelligence Gr...
In a multi-agent system, the organization determines the architecture of the whole system, and the way and policies for agent collaboration and interactions. Although this is a key...