Work

Method for Creating Behavior of Cognitive Agents Based on Multimodal Signal Processing

Year: 2024

Type: article

Abstract: The paper considers the problem of predicting the agent's activity based on the text description of the task and visual analysis of the environment. An update of the approaches of classical cognitive architecture is proposed, allowing its application in a real environment. An addition to the semiotic method of symbolic designation with the author's neural network mechanism for linking vectors of text and visual spaces is developed. A number of experiments with the obtained model in a complex environment of a car driving emulator are conducted.

Source: Modelling and Data Analysis

DOI: 10.17759/mda.2024140403

Authors: D.A. Weizenfeld, G.A. Kiselev

Institutions: Peoples' Friendship University of Russia, Russian Academy of Sciences, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences

Language: English

Topic: Psychiatry, Mental Health, Neuroscience

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4406235775

FWCI:

Cites: 28

Cited by:

Related to: 10