Towards Basic Level Categories in Cognitive Agents

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50014629" target="_blank" >RIV/62690094:18450/17:50014629 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/FSKD.2017.8393302" target="_blank" >http://dx.doi.org/10.1109/FSKD.2017.8393302</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/FSKD.2017.8393302" target="_blank" >10.1109/FSKD.2017.8393302</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards Basic Level Categories in Cognitive Agents

Popis výsledku v původním jazyce

Cognitive agents seem to be a perfect fit to computational solutions capable of making sense of large datasets and facilitating interaction with human users. Following cognitive computing paradigm we present an approach towards modelling category-based organisation of agent&apos;s semantic memory. As such, we investigate the process of formation and utilization of basic level categories in autonomous systems. We provide a detailed description of internal organisation of agent&apos;s semantic memory inspired by results from cognitive science. In particular, we focus on providing a concise description of a preliminary computational model (proof of concept&apos;s implementation) for establishing basic level categories on top of data clusterization process. Finally, we test the presented approach against a real bird species dataset, and in comparison to other cluster analysis techniques.

Název v anglickém jazyce

Towards Basic Level Categories in Cognitive Agents

Popis výsledku anglicky

Cognitive agents seem to be a perfect fit to computational solutions capable of making sense of large datasets and facilitating interaction with human users. Following cognitive computing paradigm we present an approach towards modelling category-based organisation of agent&apos;s semantic memory. As such, we investigate the process of formation and utilization of basic level categories in autonomous systems. We provide a detailed description of internal organisation of agent&apos;s semantic memory inspired by results from cognitive science. In particular, we focus on providing a concise description of a preliminary computational model (proof of concept&apos;s implementation) for establishing basic level categories on top of data clusterization process. Finally, we test the presented approach against a real bird species dataset, and in comparison to other cluster analysis techniques.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD)

ISBN

978-1-5386-2165-3

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

8

Strana od-do

400-407

Název nakladatele

IEEE

Místo vydání

NEW YORK

Místo konání akce

Guilin, China

Datum konání akce

29. 7. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000437355300067