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» Modelling Uncertainty in Agent Programming
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AGENTS
2000
Springer
15 years 4 months ago
Tools for Developing and Monitoring Agents in Distributed Multi-Agent Systems
Before the powerful agent programming paradigm can be adopted in commercial or industrial settings, a complete environment, similar to that for other programming languages, must b...
John R. Graham, Daniel McHugh, Michael Mersic, Fos...
106
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MP
2006
101views more  MP 2006»
15 years 9 days ago
Computational complexity of stochastic programming problems
Stochastic programming is the subfield of mathematical programming that considers optimization in the presence of uncertainty. During the last four decades a vast amount of litera...
Martin E. Dyer, Leen Stougie
192
Voted
ICLP
2009
Springer
16 years 1 months ago
Logic Programming for Multiagent Planning with Negotiation
Multiagent planning deals with the problem of generating plans for multiple agents. It requires formalizing ways for the agents to interact and cooperate, in order to achieve their...
Tran Cao Son, Enrico Pontelli, Chiaki Sakama
89
Voted
ATAL
2010
Springer
15 years 1 months ago
Robust Bayesian methods for Stackelberg security games
Recent work has applied game-theoretic models to real-world security problems at the Los Angeles International Airport (LAX) and Federal Air Marshals Service (FAMS). The analysis o...
Christopher Kiekintveld, Milind Tambe, Janusz Mare...
109
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AAAI
2007
15 years 2 months ago
Dominance and Equivalence for Sensor-Based Agents
This paper describes recent results from the robotics community that develop a theory, similar in spirit to the theory of computation, for analyzing sensor-based agent systems. Th...
Jason M. O'Kane, Steven M. LaValle