An Associative Information Retrieval Algorithm for a Kanerva-like Memory Model (CROSBI ID 563909)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ribarić, Slobodan ; Marčetić, Darijan
engleski
An Associative Information Retrieval Algorithm for a Kanerva-like Memory Model
This paper presents an associative information retrieval algorithm for a Kanerva-like sparse distributed memory (SDM) model. This memory model is used to implement the associative level of a hierarchical heterogeneous knowledge-base model consisting of multi-levels, starting from an associative level, through to the semantic, rule- based and description-generator level as the top level in the hierarchy. The architecture of knowledge-base was inspired by biological and psychological models. The proposed algorithm retrieves concepts from the associative level based on the similarity between a concept of interest and already stored concepts. The similarity is expressed by a value of the linguistic variable. With this approach it is possible to solve a problem when the inference processes at the semantic level encounter an unknown concept of interest. The algorithm is demonstrated by retrieving concepts that were stored based on the results of psychological experiment.
Hierarchical Heterogeneous Knowledge-base; Associative level; Sparse Distributed Memory (SDM); Associative Information Retrieval Algorithm
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Podaci o prilogu
225-230.
2010.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 33th International Convention MIPRO 2010 : CTS & CIS, Computers in Technical Systems and Intelligent Systems ; Vol. III
Bogunović, Nikola ; Ribarić, Slobodan
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
978-953-233-053-3
Podaci o skupu
33nd International Convention on Information and Communication Technology, Electronics and Microelectronics – MIPRO 2010
predavanje
24.05.2010-28.05.2010
Opatija, Hrvatska