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» Agent and Task Modeling at Honeywell
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AAAI
2010
14 years 11 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
IAT
2009
IEEE
15 years 4 months ago
Incorporating Trust into Combinatorial Auctions: What Does Trust Cost?
As the use of automated negotiations becomes more mainstream, one key attribute that needs to be incorporated is a measure of a seller’s trust or reliability. In this paper, we ...
Guruprasad Airy, Po-Chun Chen, Tracy Mullen, John ...
GRID
2004
Springer
15 years 3 months ago
DIRAC: A Scalable Lightweight Architecture for High Throughput Computing
— DIRAC (Distributed Infrastructure with Remote Agent Control) has been developed by the CERN LHCb physics experiment to facilitate large scale simulation and user analysis tasks...
Andrei Tsaregorodtsev, Vincent Garonne, Ian Stokes...
ICLP
2004
Springer
15 years 3 months ago
Multi-agent Coordination as Distributed Logic Programming
A novel style of multi-agent system specification and deployment is described, in which familiar methods from computational logic are re-interpreted to a new context. One view of ...
David Robertson
IAT
2003
IEEE
15 years 3 months ago
Assistive Ecologies - Bio-mimetic Design Of Ambient Intelligence
Facing great challenges in designing better assistive technology with ever more complex and pervasive IT systems we need a general change in our understanding of designing IT. Way...
Mikkel Holm Sørensen