Design of the Integrated Cognitive Perception Model for Developing Situation-Awareness of an Autonomous Smart Agent

Year 2023, , 283 - 292, 21.08.2023

Evren Dağlarlı

https://doi.org/10.17694/bajece.1310607

Abstract

This study explores the potential for autonomous agents to develop environmental awareness through perceptual attention. The main objective is to design a perception system architecture that mimics human-like perception, enabling smart agents to establish effective communication with humans and their surroundings. Overcoming the challenges of modeling the agent's environment and addressing the coordination issues of multi-modal perceptual stimuli is crucial for achieving this goal. Existing research falls short in meeting these requirements, prompting the introduction of a novel solution: a cognitive multi-modal integrated perception system. This computational framework incorporates fundamental feature extraction, recognition tasks, and spatial-temporal inference while facilitating the modeling of perceptual attention and awareness. To evaluate its performance, experimental tests and verification are conducted using a software framework integrated into a sandbox game platform. The model's effectiveness is assessed through a simple interaction scenario. The study's results demonstrate the successful validation of the proposed research questions.

Keywords

Autonomous smart agents, Cognitive perception, Attention modelling, World model.

Supporting Institution

ITU - Artificial Intelligence and Data Science Research Center / Cognitive Systems Lab

Thanks

I would like to express my special thanks to Cognitive Systems Laboratory (CSL) as well as Artificial Intelligence and Data Science Research Center (ITUAI), Istanbul Technical University for their encouragement and opportunity throughout this research.

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