2011
DOI: 10.1504/ijiids.2011.040086
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An agent model integrating an adaptive model for environmental dynamics

Abstract: Abstract. The environments in which agents are used often may be described by dynamical models, for example in the form of a set of differential equations. In this paper an agent model is proposed that can perform model-based reasoning about the environment, based on a numerical (dynamical system) model of the environment. Moreover, it does so in an adaptive manner by adjusting the parameter values in the environment model that represent believed environmental characteristics, thus adapting these beliefs to th… Show more

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Cited by 1 publication
(1 citation statement)
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“…Although the paper has focused on optimal decisions from a financial perspective, the methods introduced can also be applied to other aspects, for example, CO 2 emission. It is also easy to extend the model by using more than two heating agents, and to incorporate environmental dynamical models within the allocation agent, for example, to predict the outdoor temperature (e.g., [14]). Another extension of the presented approach is to allow for partial allocation, in which can the allocation is not exclusive, but also have the form of allocation both agents at the same time, but each for a certain fraction of the heating task.…”
Section: Discussionmentioning
confidence: 99%
“…Although the paper has focused on optimal decisions from a financial perspective, the methods introduced can also be applied to other aspects, for example, CO 2 emission. It is also easy to extend the model by using more than two heating agents, and to incorporate environmental dynamical models within the allocation agent, for example, to predict the outdoor temperature (e.g., [14]). Another extension of the presented approach is to allow for partial allocation, in which can the allocation is not exclusive, but also have the form of allocation both agents at the same time, but each for a certain fraction of the heating task.…”
Section: Discussionmentioning
confidence: 99%