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CIA
2006
Springer
15 years 1 months ago
Learning to Negotiate Optimally in Non-stationary Environments
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Vidya Narayanan, Nicholas R. Jennings
TSP
2008
107views more  TSP 2008»
14 years 9 months ago
Opportunistic Spectrum Access via Periodic Channel Sensing
The problem of opportunistic access of parallel channels occupied by primary users is considered. Under a continuous-time Markov chain modeling of the channel occupancy by the prim...
Qing Zhao, Stefan Geirhofer, Lang Tong, Brian M. S...
SIAMCOMP
1998
138views more  SIAMCOMP 1998»
14 years 9 months ago
Dynamic Trees and Dynamic Point Location
This paper describes new methods for maintaining a point-location data structure for a dynamically changing monotone subdivision S. The main approach is based on the maintenance of...
Michael T. Goodrich, Roberto Tamassia
DALT
2007
Springer
15 years 4 months ago
Integrating Agent Models and Dynamical Systems
Agent-based modelling approaches are usually based on logical languages, whereas in many areas dynamical system models based on differential equations are used. This paper shows ho...
Tibor Bosse, Alexei Sharpanskykh, Jan Treur
CCS
2008
ACM
14 years 12 months ago
EON: modeling and analyzing dynamic access control systems with logic programs
We present EON, a logic-programming language and tool that can be used to model and analyze dynamic access control systems. Our language extends Datalog with some carefully design...
Avik Chaudhuri, Prasad Naldurg, Sriram K. Rajamani...