Modeling and Simulation of Associative Reasoning
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F21%3A43903768" target="_blank" >RIV/60076658:12310/21:43903768 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.scitepress.org/PublicationsDetail.aspx?ID=TJyBBYVdiC0=&t=1" target="_blank" >https://www.scitepress.org/PublicationsDetail.aspx?ID=TJyBBYVdiC0=&t=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0010234707160723" target="_blank" >10.5220/0010234707160723</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Modeling and Simulation of Associative Reasoning
Popis výsledku v původním jazyce
Modeling human behavior is a popular area of research. Special attention is then focused on activities related to knowledge processing. It is the knowledge that has a fundamental influence on an individual's decision-making and its dynamics. The subject of research is both the representation of knowledge and the procedures of their processing. The processing also comprises associative reasoning. Associations significantly influence the knowledge base used in processing stimuli and thus participate in creating a knowledge context that is further used for knowledge derivation and decision making. This paper focuses on the area of associative knowledge processing. There are already classical approaches associated with developing probabilistic neural networks, which can also be used with modifications at a higher abstraction level. This paper aims to show that associative processing of knowledge can be described with these approaches and simulated. The article will present a possible implementation of the model of knowledge storage and associative processing on the individual's knowledge base. The behavior of this model will be demonstrated in experiments.
Název v anglickém jazyce
Modeling and Simulation of Associative Reasoning
Popis výsledku anglicky
Modeling human behavior is a popular area of research. Special attention is then focused on activities related to knowledge processing. It is the knowledge that has a fundamental influence on an individual's decision-making and its dynamics. The subject of research is both the representation of knowledge and the procedures of their processing. The processing also comprises associative reasoning. Associations significantly influence the knowledge base used in processing stimuli and thus participate in creating a knowledge context that is further used for knowledge derivation and decision making. This paper focuses on the area of associative knowledge processing. There are already classical approaches associated with developing probabilistic neural networks, which can also be used with modifications at a higher abstraction level. This paper aims to show that associative processing of knowledge can be described with these approaches and simulated. The article will present a possible implementation of the model of knowledge storage and associative processing on the individual's knowledge base. The behavior of this model will be demonstrated in experiments.
Klasifikace
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)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
ICAART: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2
ISBN
978-989-758-484-8
ISSN
—
e-ISSN
—
Počet stran výsledku
8
Strana od-do
716-723
Název nakladatele
SCITEPRESS
Místo vydání
SETUBAL
Místo konání akce
Lisabon
Datum konání akce
4. 2. 2021
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
000661455800077