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» Modelling Uncertainty in Agent Programming
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91
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ATAL
2010
Springer
15 years 1 months ago
Formalizing organizational constraints: a semantic approach
An organizational modeling language can be used to specify an agent organization in terms of its roles, organizational structure, norms, etc. Such an organizational specification ...
M. Birna van Riemsdijk, Koen V. Hindriks, Catholij...
ICCS
2007
Springer
15 years 6 months ago
Creating Individual Based Models of the Plankton Ecosystem
Abstract. The Virtual Ecology Workbench (VEW) is a suite of utilities for creating, executing and analysing biological models of the ocean. At its core is a mathematical language a...
Wes Hinsley, Tony Field, John Woods
IJCAI
2001
15 years 1 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
108
Voted
ATAL
2011
Springer
14 years 16 days ago
Solving Stackelberg games with uncertain observability
Recent applications of game theory in security domains use algorithms to solve a Stackelberg model, in which one player (the leader) first commits to a mixed strategy and then th...
Dmytro Korzhyk, Vincent Conitzer, Ronald Parr
82
Voted
ATAL
2003
Springer
15 years 5 months ago
A formal compositional model of multiagent interaction
Interaction protocols for multiagent systems have been described diagrammatically in an extension of UML called AUML (Agent UML). In this paper, we show how to translate these pro...
Sea Ling, Seng Wai Loke