2003
DOI: 10.1007/978-3-540-24580-3_13
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Yerkes-Dodson Law in Agents’ Training

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Cited by 7 publications
(4 citation statements)
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“…Such strategy increases the population's resistance to strong environmental changes. [14,15,17] revealed that in situations of good separation of the categories (i.e. small classification error), they involved long training intervals that caused excessive growth of weights magnitudes which in turn, diminish the re-adaptation ability to learn a new classification.…”
Section: Modeling Of Crime Rate Dynamicsmentioning
confidence: 99%
See 1 more Smart Citation
“…Such strategy increases the population's resistance to strong environmental changes. [14,15,17] revealed that in situations of good separation of the categories (i.e. small classification error), they involved long training intervals that caused excessive growth of weights magnitudes which in turn, diminish the re-adaptation ability to learn a new classification.…”
Section: Modeling Of Crime Rate Dynamicsmentioning
confidence: 99%
“…In our analysis of adaptation characteristics of the populations of intelligent agents, we utilize two different classification task models as introduced in [6,14,15]. If an agent is unable to solve a new recognition task within a limited time, it will "perish", be removed from the population and replaced by a newborn.…”
Section: The Single Layer Perceptron and Its Training Peculiaritiesmentioning
confidence: 99%
“…In [18] it was demonstrated that training speed of the single layer perceptron (SLP) based classifier depends on difference s = |t 1 -t 2 | between desired outputs, t 1 , t 2 , corresponding to two diverse pattern classes. The training speed was measured as a number of training epochs required to train SLP.…”
Section: Introductionmentioning
confidence: 99%
“…To ensure that the crisis managers of VRT are capable of doing just that, more complex crisis situations thus need to be trained more often, for example, by means of a digital serious game. The experienced stress level of the crisis managers should be kept at medium intensity during training, which is where fastest learning can be expected according to Raudys and Justickis (2003), along with best performance as implied by the Yerkes-Dodson law. Knowing the player's current level of experienced stress would thus allow manipulation of the serious game to ensure that players experience the optimal stress level for learning, for example, by adjusting the pace of the game.…”
Section: Analytical Skills and Stress At Veiligheidsregio Twentementioning
confidence: 99%