Title
Knowledge Sharing in Swarms Realized by Artificially Empathetic Communication
Authors
[ 1 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee
Scientific discipline (Law 2.0)
[2.2] Automation, electronics, electrical engineering and space technologies
Year of publication
2025
Published in
Article type
scientific article
Publication language
english
Keywords
EN
- artificial empathy
- swarm
- IoT
- fuzzy sets
- imprecise cognition
Abstract
EN In this paper, we present a novel method of communicating knowledge between units in a swarm, applying artificial empathy and imprecise cognition to improve cooperation and adaptation. This research focuses on building a swarming agent’s individual knowledge base, relying on knowledge imprecisely shared by another unit and one’s own experience. The fuzzy similarity is used to fill the missing parameters, a subjective subset of which describes each agent. The obtained knowledge is then implemented as a particular set of actions, distinctive for each swarming agent. The actions bring the swarming unit closer to the desired state, appointed with the use of uncertainty combined with imprecision. Each agent compares their future possibilities with other’s prospects and decides whether to help, continue with their own action, or learn new knowledge from others.
Pages (from - to)
340-1 - 340-16
Comments
Article number: 340
License type
CC BY (attribution alone)
Open Access Mode
open journal
Open Access Text Version
final published version
Date of Open Access to the publication
at the time of publication
Full text of article
Access level to full text
public
Ministry points / journal
100
Impact Factor
2,6 [List 2023]
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