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: <Error class: unknown class>

Sigma of the advancedLogistic function used to compute Fear.

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val advancedLogisticTau: <Error class: unknown class>

Tau of the advancedLogistic function used to compute Fear.

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val affectiveBiasingOmega: <Error class: unknown class>

Influence of fear on danger belief.

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val amplifyingEvacuationOmega: <Error class: unknown class>

Amplifies the desire to evacuate.

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val amplifyingFeelingOmega: <Error class: unknown class>

Amplifies fear sensation.

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val amplifyingIntentionOmega: <Error class: unknown class>

Amplifies the intention to evacuate.

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val bodyEta: <Error class: unknown class>

Intensity of human body response.

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val inhibitingFeelingOmega: <Error class: unknown class>

Inhibits fear sensation.

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val inhibitingIntentionOmega: <Error class: unknown class>

Inhibits the intention to evacuate.

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val inhibitingWalkRandOmega: <Error class: unknown class>

Inhibits the desire to evacuate.

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val logisticSigma: <Error class: unknown class>

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

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val logisticTau: <Error class: unknown class>

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

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val mentalEta: <Error class: unknown class>

Intensity of human mental response.

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val persistingOmega: <Error class: unknown class>

Persistence of emotions.

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val sensingOmega: <Error class: unknown class>

Capacity of sensing the danger.