12,954 research outputs found
Information Modeling for a Dynamic Representation of an Emergency Situation
In this paper we propose an approach to build a decision support system that
can help emergency planners and responders to detect and manage emergency
situations. The internal mechanism of the system is independent from the
treated application. Therefore, we think the system may be used or adapted
easily to different case studies. We focus here on a first step in the
decision-support process which concerns the modeling of information issued from
the perceived environment and their representation dynamically using a
multiagent system. This modeling was applied on the RoboCupRescue Simulation
System. An implementation and some results are presented here.Comment:
Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs (Extended Version)
Many exact and approximate solution methods for Markov Decision Processes
(MDPs) attempt to exploit structure in the problem and are based on
factorization of the value function. Especially multiagent settings, however,
are known to suffer from an exponential increase in value component sizes as
interactions become denser, meaning that approximation architectures are
restricted in the problem sizes and types they can handle. We present an
approach to mitigate this limitation for certain types of multiagent systems,
exploiting a property that can be thought of as "anonymous influence" in the
factored MDP. Anonymous influence summarizes joint variable effects efficiently
whenever the explicit representation of variable identity in the problem can be
avoided. We show how representational benefits from anonymity translate into
computational efficiencies, both for general variable elimination in a factor
graph but in particular also for the approximate linear programming solution to
factored MDPs. The latter allows to scale linear programming to factored MDPs
that were previously unsolvable. Our results are shown for the control of a
stochastic disease process over a densely connected graph with 50 nodes and 25
agents.Comment: Extended version of AAAI 2016 pape
Engineering Agent Systems for Decision Support
This paper discusses how agent technology can be applied to the design of advanced Information Systems for Decision Support. In particular, it describes the different steps and models that are necessary to engineer Decision Support Systems based on a multiagent architecture. The approach is illustrated by a case study in the traffic management domain
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