Computer Science – Neural and Evolutionary Computing
Scientific paper
2009-02-18
Proceedings of the 4th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy '08); July 2008., Patras, Greece
Computer Science
Neural and Evolutionary Computing
4 pages; 4 figures
Scientific paper
In our understanding, a mind-map is an adaptive engine that basically works incrementally on the fundament of existing transactional streams. Generally, mind-maps consist of symbolic cells that are connected with each other and that become either stronger or weaker depending on the transactional stream. Based on the underlying biologic principle, these symbolic cells and their connections as well may adaptively survive or die, forming different cell agglomerates of arbitrary size. In this work, we intend to prove mind-maps' eligibility following diverse application scenarios, for example being an underlying management system to represent normal and abnormal traffic behaviour in computer networks, supporting the detection of the user behaviour within search engines, or being a hidden communication layer for natural language interaction.
Brucks Claudine
Hilker Michael
Schommer Christoph
Wagner Cynthia
Weires Ralph
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