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» Learning Component Interfaces with May and Must Abstractions
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ESWS
2009
Springer
15 years 4 months ago
Who the Heck Is the Father of Bob?
Abstract. Finding the optimal selection of an OWL reasoner and service interface for a specific ontology-based application is challenging. Over time it has become more and more di...
Marko Luther, Thorsten Liebig, Sebastian Böhm...
ICCS
2003
Springer
15 years 2 months ago
Visual Modeler for Grid Modeling and Simulation (GridSim) Toolkit
Abstract. The Grid Modeling and Simulation (GridSim) toolkit provides a comprehensive facility for simulation of application scheduling in different Grid computing environments. H...
Anthony Sulistio, Chee Shin Yeo, Rajkumar Buyya
SEMWEB
2004
Springer
15 years 2 months ago
Inferring Data Transformation Rules to Integrate Semantic Web Services
Abstract. OWL-S allows selecting, composing and invoking Web Serdifferent levels of abstraction: selection uses high level abstract descriptions, invocation uses low level groundi...
Bruce Spencer, Sandy Liu
SIGECOM
2011
ACM
259views ECommerce» more  SIGECOM 2011»
14 years 7 days ago
Designing adaptive trading agents
ended abstract summarizes the research presented in Dr. Pardoe’s recently-completed Ph.D. thesis [Pardoe 2011]. The thesis considers how adaptive trading agents can take advantag...
David Pardoe, Peter Stone
ATAL
2010
Springer
14 years 10 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...