Abstract. This paper introduces a novel framework for designing multiagent systems, called “Distributed Agent Evolution with Dynamic Adaptation to Local Unexpected Scenarios” (...
Suranga Hettiarachchi, William M. Spears, Derek Gr...
Abstract. In order to construct and deploy massively multiagent systems, we must address one of the fundamental issues of distributed systems, the possibility of partial failures. ...
We propose a novel approach to experience collection for autonomous service robots performing complex activities. This approach enables robots to data for many learning problems at...
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
Abstract. The problem of finding an agreement on the meaning of heterogeneous schemas is one of the key issues in the development of the Semantic Web. In this paper, we propose a ...