Heuristics for spatial data descriptions in a multi-Agent system

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10252541" target="_blank" >RIV/61989100:27240/23:10252541 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27350/23:10252541

Result on the web

<a href="https://ebooks.iospress.nl/doi/10.3233/FAIA220493" target="_blank" >https://ebooks.iospress.nl/doi/10.3233/FAIA220493</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/FAIA220493" target="_blank" >10.3233/FAIA220493</a>

Result language

angličtina

Original language name

Heuristics for spatial data descriptions in a multi-Agent system

Original language description

Navigation and an agent&apos;s map representation in a multi-Agent system become problematic when agents are situated in complex environments such as the real world. Challenging modifiability of maps, long updating period, resource-demanding data collection makes it difficult for agents to keep pace with rather quickly expanding cities. This study presents the first steps to a possible solution by exploiting natural language processing and symbolic methods of supervised machine learning. An adjusted algorithm processes formalized descriptions of one&apos;s journey to produce a description of the journey. The explication is represented employing Transparent Intensional Logic. A combination of several explications might be used as a representation of spatial data, which may help the agents to navigate. Results of the study showed that it is possible to obtain a topological representation of a map using natural language descriptions. Collecting spatial data from spoken language may accelerate updating and creation of maps, which would result in up-To-date information for the agents obtained at a rather low cost. (C) 2023 The authors and IOS Press.

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

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

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

Article name in the collection

Frontiers in Artificial Intelligence and Applications. Volume 364

ISBN

978-1-64368-370-6

ISSN

0922-6389

e-ISSN

1535-6698

Number of pages

13

Pages from-to

68-80

Publisher name

IOS Press

Place of publication

Amsterdam

Event location

Hamburk

Event date

May 30, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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