Abstract. Software agents are a promising technology for today's complex, distributed systems. Methodologies and techniques that address testing and reliability of multi agent...
A central problem in software maintenance is change propagation: given a set of primary changes that have been made to software, what additional secondary changes are needed? Altho...
Abstract. Over the last five years a number of agent system development methodologies have been proposed and developed, with a number of them becoming well established and used bey...
Lin Padgham, Michael Winikoff, Scott A. DeLoach, M...
Situational Method Engineering for constructing ad-hoc agent oriented design process is grounded on a well defined set of phases that are principally based on reuse of components c...
Intelligent agents offer a new and exciting way of understanding the world of work. In this paper we apply agentbased modeling and simulation to investigate a set of problems in a...
Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chri...
The development of intelligent assistants has largely benefited from the adoption of decision-theoretic (DT) approaches that enable an agent to reason and account for the uncertai...
Bowen Hui, Sean Gustafson, Pourang Irani, Craig Bo...
With the success of local features in object recognition, feature-set representations are widely used in computer vision and related domains. Pyramid match kernel (PMK) is an effi...
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...