Karla Parussel

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In the brain, different levels of neuro-active substances modulate the behaviour of neurons that have receptors for them, such as sensitivity-to-input, Koch (1999). An artificial neural network is described that learns which actions have the immediate effect of minimising cost and maximising reward for an agent. Two versions of the network are compared, one(More)
A copy can be downloaded for personal non-commercial research or study, without prior permission or charge The content must not be changed in any way or reproduced in any format or medium without the formal permission of the copyright holder(s) When referring to this work, full bibliographic details must be given This paper presents the findings from one of(More)
A bottom-up approach to emulating emotions is expounded in this thesis. This is intended to be useful in research where a phenomenon is to be emulated but the nature of it can not easily be defined. This approach not only advocates emulating the underlying mechanisms that are proposed to give rise to emotion in natural agents, but also advocates applying an(More)
Taking neuromodulation as a mechanism underlying emotions, this paper investigates how such a mechanism can bias an artificial neural network towards exploration of new courses of action, as seems to be the case in positive emotions, or exploitation of known possibilities, as in negative emotions such as predatory fear. We use neural networks of spiking(More)
It is hypothesized here that two classes of emotions exist: driving and satisfying emotions. Driving emotions significantly increase the internal activity of the brain and result in the agent seeking to minimize its emotional state by performing actions that it would not otherwise do. Satisfying emotions decrease internal activity and encourage the agent to(More)
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