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» What agents can achieve under incomplete information
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SIGIR
2004
ACM
15 years 2 months ago
Evaluating content-based filters for image and video retrieval
This paper investigates the level of metadata accuracy required for image filters to be valuable to users. Access to large digital image and video collections is hampered by ambig...
Michael G. Christel, Neema Moraveji, Chang Huang
SUM
2009
Springer
15 years 4 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
STAIRS
2008
128views Education» more  STAIRS 2008»
14 years 11 months ago
Towards Social Dynamic Dependence Networks for Institutions
Social networks are structures that aim to represent the relationships among the actors of a society. In the multiagent model, these networks depict the dependencies among the agen...
Serena Villata
ECAL
2007
Springer
15 years 3 months ago
Multi-level Selection in the Emergence of Language Systematicity
Language can be viewed as a complex adaptive system which is continuously shaped and reshaped by the actions of its users as they try to solve communicative problems. To maintain c...
Luc Steels, Remi van Trijp, Pieter Wellens
58
Voted
ICC
2007
IEEE
142views Communications» more  ICC 2007»
15 years 3 months ago
Distributed Privacy-Preserving Policy Reconciliation
— Organizations use security policies to regulate how they share and exchange information, e.g., under what conditions data can be exchanged, what protocols are to be used, who i...
Ulrike Meyer, Susanne Wetzel, Sotiris Ioannidis