ABSTRACT. We draw on a substantial body of theoretical and empirical research on movement and behavior tracking tools, remote sensing and geospatial artificial intelligence technologies, and metaverse assets and services. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout May 2023, with search terms including “Web3-powered metaverse worlds” + “neural network-based recognition and virtual simulation algorithms,” “interactive 3D geo-visualization and neuromorphic computing systems,” and “tactile sensing and cognitive modeling technologies.” As we analyzed research published in 2022 and 2023, only 187 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 41, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, ROBIS, and SRDR.

Keywords: neural network; recognition and virtual simulation algorithms; interactive 3D geo-visualization; neuromorphic computing systems; tactile sensing; cognitive modeling technologies; Web3-powered metaverse worlds

How to cite: Zvarikova, K., Novak, A., and Popescu, G. H. (2023). “Neural Network-based Recognition and Virtual Simulation Algorithms, Interactive 3D Geo-Visualization and Neuromorphic Computing Systems, and Tactile Sensing and Cognitive Modeling Technologies in Web3-powered Metaverse Worlds,” Review of Contemporary Philosophy 21: 190–207. doi: 10.22381/RCP22202311.

Received 26 June 2023 • Received in revised form 24 August 2023
Accepted 28 August 2023 • Available online 30 August 2023