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» Modelling Uncertainty in Agent Programming
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AGENTS
1999
Springer
15 years 1 months ago
An Adaptive Agent Bidding Strategy Based on Stochastic Modeling
For a dynamic, evolving multiagent auction, we have developed an adaptive agent bidding strategy (called the p-strategy) based on stochastic modeling. The p-strategy takes into ac...
Sunju Park, Edmund H. Durfee, William P. Birmingha...
ICEIS
2009
IEEE
15 years 4 months ago
A Service Composition Framework for Decision Making under Uncertainty
Proposed and developed is a service composition framework for decision-making under uncertainty, which is applicable to stochastic optimization of supply chains. Also developed is ...
Malak Al-Nory, Alexander Brodsky, Hadon Nash
80
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AAAI
1996
14 years 10 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
UML
2005
Springer
15 years 3 months ago
Enhancement of Development Technologies for Agent-Based Software Engineering
Abstract. Current trends in software development show a move towards supporting autonomous components (agents). The accurate timing of interactions between such components is growi...
Andre Karpistsenko
TSP
2008
124views more  TSP 2008»
14 years 9 months ago
Robust Beamforming via Worst-Case SINR Maximization
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
Seung-Jean Kim, Alessandro Magnani, Almir Mutapcic...