Modeling and Simulation of Associative Reasoning

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Modeling and Simulation of Associative Reasoning

Original language description

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&apos;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&apos;s knowledge base. The behavior of this model will be demonstrated in experiments.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

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

Article name in the collection

ICAART: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2

ISBN

978-989-758-484-8

ISSN

—

e-ISSN

—

Number of pages

8

Pages from-to

716-723

Publisher name

SCITEPRESS

Place of publication

SETUBAL

Event location

Lisabon

Event date

Feb 4, 2021

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

000661455800077