Pregled bibliografske jedinice broj: 472888
An Associative Information Retrieval Algorithm for a Kanerva-like Memory Model
An Associative Information Retrieval Algorithm for a Kanerva-like Memory Model // Proceedings of the 33th International Convention MIPRO 2010 : CTS & CIS, Computers in Technical Systems and Intelligent Systems ; Vol. III / Bogunović, Nikola ; Ribarić, Slobodan (ur.).
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2010. str. 225-230 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 472888 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An Associative Information Retrieval Algorithm for a Kanerva-like Memory Model
Autori
Ribarić, Slobodan ; Marčetić, Darijan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
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, 2010, 225-230
ISBN
978-953-233-053-3
Skup
33nd International Convention on Information and Communication Technology, Electronics and Microelectronics – MIPRO 2010
Mjesto i datum
Opatija, Hrvatska, 24.05.2010. - 28.05.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Hierarchical Heterogeneous Knowledge-base; Associative level; Sparse Distributed Memory (SDM); Associative Information Retrieval Algorithm
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0361935-1954 - Teorija, modeliranje i uporaba autonomno orijentiranih računarskih struktura (Ribarić, Slobodan, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
