Abstract: This paper proposes a dynamic semantic model for e-learning system based on the psycholinguistic theories of human memory; spreading activation network (SAN). This work employs a SAN as a technique to provide the interface's action selection mechanism in an uncertain environment. The paper combines the. Jul 21, 2014. Based on these two considerations, we propose to model the signal transmission process and predict possible neural spikes based on the spreading activation theory [2]. Assume a specific neuron (denoted as n1) is connected with N neurons in the network and its action potential is V, the post synaptic. A Multi-Agent Spreading Activation Network Model for Online Learning Objects. Framework where action selection is driven by a spreading activation mechanism on a. Task Planning under Uncertainty using a Spreading Activation Network. And action costs into the action selection mechanism. As paths through this network. The Infona portal uses cookies, i.e. Strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. ![]() ![]() ![]() ![]() ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
April 2018
Categories |