Companion

object Companion

Cognitive characteristics are modeled following the principles of Network Oriented Modeling, which allow characteristics to influence each other and evolve during the simulation. Each characteristic is modeled as an equation; weights and constant values used in equations are defined below. These are described in the IMPACT model.

Properties

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val advancedLogisticSigma: Double

Sigma of the advancedLogistic function used to compute Fear.

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val advancedLogisticTau: Double

Tau of the advancedLogistic function used to compute Fear.

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val affectiveBiasingOmega: Double

Influence of fear on danger belief.

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val amplifyingEvacuationOmega: Double

Amplifies the desire to evacuate.

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val amplifyingFeelingOmega: Double

Amplifies fear sensation.

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val amplifyingIntentionOmega: Double

Amplifies the intention to evacuate.

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val bodyEta: Double

Intensity of human body response.

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val inhibitingFeelingOmega: Double

Inhibits fear sensation.

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val inhibitingIntentionOmega: Double

Inhibits the intention to evacuate.

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val inhibitingWalkRandOmega: Double

Inhibits the desire to evacuate.

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val logisticSigma: Double

Sigma of the logistic function used to compute IntentionEvacuate and IntentionWalkRandomly.

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val logisticTau: Double

Tau of the logistic function used to compute IntentionEvacuate and IntentionWalkRandomly.

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val mentalEta: Double

Intensity of human mental response.

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val persistingOmega: Double

Persistence of emotions.

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val sensingOmega: Double

Capacity of sensing the danger.